Prof. Braun, J.
Institut für Biologie (IBIO)
Abgeschlossene Projekte
ABINEP M2-project 3: Modellierung Dopamin-induzierter neuronaler Netzwerk-Aktivität / "Learning conditional associations: rich temporal context and involvement of hippocampus / medial temporal lobe"
Laufzeit: 01.05.2017 bis 30.03.2022
The international Graduate school (GS) on Analysis, Imaging, and Modelling of Neuronal and Inflammatory Processes (ABINEP) is based on the two internationally recognized biomedical research foci of the Otto-von-Guericke-University Magdeburg (OVGU), Neurosciences and Immunology. ABINEP aims at fostering cutting edge research projects in rising sub-disciplines of these research areas, which are currently supported by several German Research foundation (DFG)- and European Community (EU)-funded collaborative projects in Magdeburg (including the DFG-funded Collaborative Research Centers SFBs 779 and 854 and associated graduate schools, as well as DFG TRRs 31 and 62). The program includes scientists from the Medical Faculty/ University Hospital Magdeburg (MED) and the Faculty of Natural Sciences (FNW) of the OVGU, the Institute for Neurobiology (LIN) and German Center for Neurodegenerative Diseases (DZNE), both located in Magdeburg, the Helmholtz Centre of Infection Research in Braunschweig as well as international collaborators.
To further strengthen the international interconnection of these research foci, 21 projects were defined to educate excellent international PhD student candidates in any of the 4 ABINEP topical modules:
1) Neuroinflammation: Inflammatory processes in neurodegeneration
2) Neurophysiology and Computational Modelling of Neuronal Networks
3) Immunosenescence: Infection and immunity in the context of aging
4) Human Brain Imaging for diagnosing neurocognitive disorders
2) Neurophysiology and Computational Modelling of Neuronal Networks
Sport can activate protective mechanism which suppresses Dementia outbreaks. The detailed principles and possibilities to optimize therapies are not yet known. It is assumed that substances such as brain-derived neurotrophic factor (BDNF) and dopamine are mobilized in brains and increase synaptic plasticity processes and therefore to a delay in Dementia outbreaks. A systematical evaluation of the altered synaptic plasticity and the communication between different brain regions by BDNF and dopamine is currently missing and requires now scientific approaches. Computational modelling of neuronal networks should be used to predict the influence of pharmacological substances on the brain network activity and thereby the suppression of dementia outbreaks within animal models.
INDIREA - Individualised Diagnostics and Rehabilitation of Attention
Laufzeit: 01.09.2013 bis 31.08.2017
We propose a training network based around a linked set of research projects which attempt to improve the diagnosis and rehabilitation of neuropsychological disorders of attention, with each project linked to an external industrial partner in order to commercialise emerging diagnostic and rehabilitation procedures. New diagnostic procedures will link clinical measures of attentional disorders to a detailed mathematical account, which can in turn be linked to computational models of neuronal function. These behavioural measures will be integrated with brain imaging indices (using fMRI, EEG, MEG) to explain attentional disorders at a neural as well as a functional level. The emerging diagnostic procedures will be used to target individualised rehabilitation for patients, assessing effects of direct brain stimulation, EEG-based biofeedback, cognitive training of attention, and drug intervention. Each project will operate across both academic and industrial partners in the network, giving a unique commercial orientation to the training. Overall the project will advance neuropsychological diagnostics and rehabilitation, while giving trainees state-of-the-art inter-disciplinary research and entrepreneurial skills.
Bestimmung des genauen dynamischen Gleichgewichts der visuellen Wahrnehmung
Laufzeit: 01.04.2014 bis 31.03.2017
Das Projekt verfolgt einen neuartigen Ansatz zur Erforschung multistabiler Wahrnehmung. Auf den ersten Blick erscheint die Dynamik multistabiler Wahrnehmungen von Person zu Person und Situation zu Situation sehr unterschiedlich zu sein, aber unter der Oberfläche lässt diese Dynamik ein genaues Gleichgewicht zwischen Inhibition, Adaption und Rauschen erkennen. Dies haben unsere publizierten Vorarbeiten gezeigt. Daraus ergeben sich mehrere Vorhersagen, welche in diesem Projekt überprüft werden sollen.
Das Projekt verbindet detaillierte psychophysikalische Messungen multistabiler Wahrnehmung (mit mehr statistischen Kenngrößen als in anderen Studien) in normalen Erwachsenen, sowie in Heranwachsenden und Anorexia nervosa Patienten, mit rechnerischen Analysen zur Bestimmung des genauen dynamischen Arbeitspunktes jeder Einzelperson. In vier Teilprojekten wollen wir unsere zentrale Arbeitshypothese (genaues Gleichgewicht von Inhibition, Adaption und Rauschen) überprüfen:
- Teil A: Verschieben experimentelle Veränderungen des Gleichgewichts den dynamischen Arbeitspunkt in die erwartete Richtung?
- Teil B: Wird die Stabilität der Wahrnehmung zunehmen, wenn ihre Empfindlichkeit für Eingangs-Modulationen abnimmt (und umgekehrt), wie von Theorien der inferenziellen Wahrnehmung vorgesagt wird?
- Teil C: Sind die Ergebnisse der rechnerischen Analyse unabhängig von der mathematischen Formulierung des dynamischen Modells?
- Teil D: Ist der dynamische Arbeitspunkt von dagnostischer Relevanz, d.h. zeigt er bedeutsame Unterschiede zwischen Einzelpersonen auf?
- Es wird zeigen, ob das beobachtete Gleichgewicht tatsächlich der theoretischen Erwartung entspricht, welche einen Zielkonflikt zwischen Stabilität und Empfindlichkeit von inferenzieller Wahrnehmung vorhersagt.
- Es wird zeigen, ob dem beobachteten Gleichgewicht eine multistabile Attraktordynamik zugrund liegt (Gleichgewicht zwischen Inhibition, Adaption und Rauschen), oder ein anderer Mechanismus am Werk ist, der eine explorative Wanderungsdynamik erzeugt.
- Es wird zeigen, ob das genaue dynamische Gleichgewicht individueller Versuchspersonen von diagnostischem Nutzen ist, entweder im Laufe der Entwicklung oder bei neurologischen Störungen.
Schlussendlich wird das Projekt eine neuartige, quantitative und empirische Methode etablieren, mit der zentrale theoretische Ideen, wie die "Baysian brain" Hypothese (Knill and Pouget, 2004) oder das Prinzip der "freien Energie" (Friston, 2010), überprüft und weiterentwickelt werden können.
Mikrosakkaden als objektiver Zugang zu visueller Orientierung und Selektion
Laufzeit: 01.04.2014 bis 31.03.2017
Unsere Vorarbeiten zeigen, daß Mikrosakkaden (MS) quantitative Hinweise nicht nur auf Richtung & Zeitpunkt v. Aufmerksamkeitsverschiebungen, sondern auch auf d. Position fortgesetzter Aufmerksamkeit geben können. Neuere Arbeiten mit nicht-menschlichen Primaten legen nahe, daß Mikrosakkaden d. Aktivität einer Unterklasse v. Neuronen in einer Reihe v. anatomisch getrennten, aber funktional integrierten Hirnregionen widerspiegeln (Kollikulus superior, frontale Augenfelder, lateraler intraparietaler Sulcus). Dieses ‘selection map’ Netzwerk scheint versch. Aspekte d. visuellen Orientierung u. Selektion – darunter visuelle Aufmerksamkeit, visuelle Salienz & Sakkadenvorbereitung – zu integrieren.
Wir schlagen eine Reihe v. weiterführenden Experimenten mit menschl. Versuchspersonen vor, welche d. objektiven Zugang zur vis. Orientierung u. Selektion ausnutzen, d. Mikrosakkaden geben können. Insbesondere möchten wir unsere einzigartige Expertise in psychophysischen Doppelaufgaben mit d. Messung v. Mikrosakkaden & mit rechner. Modellen kombinieren, um d. Wechselwirkungen v. vis. Aufmerksamkeit, vis. Salienz & Sakkadenvorbereitung umfassend zu charakterisieren.
Ziele: s. Kurzbeschreibung englisch
Das vorgeschlagene Arbeitsprogramm mit menschl. Probanden wird wichtige Befunde an nicht-menschl. Primaten bestätigen & erweitern. Es wird zeigen, wie unterschiedl. Aspekte d. Orientierung miteinander wechselwirken, welche funktionalen Abstimmungen erfolgen. Es wird kontrovers diskutierte Theorien d. kognitiven Aufmerksamkeitsforschung – “limited capacity”, “saliency map”, Beziehung zu ‘awareness’ – überprüfen & möglicherweise deren neurobiol. Entsprechungen in einer ‘selection map’ enthüllen. Schließlich wird d. Vorhaben alle Beschreibungsebenen – Diskriminationsleistung, Aufmerksamkeitszuteilung, Augenbewegungen & ‘selection map’ Aktivität – in einem kompakten rechner. Rahmen zusammenführen, welcher seinerseits zahlreiche überprüfbare Vorhersagen liefern wird.
CORONET - Neuartige Schnittstellen zwischen Gehirn und Computer
Laufzeit: 01.01.2011 bis 31.12.2014
Schnittstellen zwischen dem Gehirn und elektrischen Schaltkreisen in technischen Geräten oder Computern eröffnen neue Perspektiven für Grundlagenforschung und medizinische Anwendung, z.B. bei der therapeutischen Hirnstimulation oder der Neuroprothetik. Das neue EU-Projekt CORONET wird die technologischen und theoretischen Voraussetzungen für solche zukünftigen "bio-hybriden" Schnittstellen zwischen natürlichen und künstlichen neuronalen Schaltkreisen schaffen. Die Europäische Kommission unterstützt das Projekt mit 2.7 Millionen aus dem 7. Rahmenprogramm. CORONET erreichte die beste Bewertung aller 39 Projektvorschläge in der Kategorie "Brain-inspired Computing?. Die Grundidee von CORONET ist, die komplexe spontane Aktivität des lebenden Nervengewebes zu nutzen, statt gegen sie zu arbeiten. Zunächst soll die spontane Aktivität durch kontinuierliche, aber schwache, elektrische Stimulation "sanft" in eine gewünschte Richtung gesteuert werden. Dann soll das Nervengewebe an künstliche, elektronische Netzwerke gekoppelt werden, die ähnlich komplex reagieren wie das Gehirn. Mithilfe dieser Kopplung sollen bestimmte, sich spontan herausbildende Aktivitätszustände des Nervengewebes "ausgelesen" werden.
Als künstliche Netzwerke sollen zunächst Computer-Simulationen von neuronalen Netzen eingesetzt werden. In einem zweiten Schritt sollen dazu echte, elektronische integrierte Schaltkreise gebaut werden, die nach den Prinzipien der Hirnfunktion arbeiten ("Neuromorophic VLSI"). Das Fernziel des Projekts ist die nahtlose Kommunikation zwischen elektronischen Schaltkreisen und lebendem Nervengewebe.
Sechs etablierte Wissenschaftler aus Magdeburg, Dresden, Trieste, Rom, Haifa, und Barcelona beteiligen sich an dieser europäischen Kooperation unter der Leitung von Prof. J. Braun (Otto-von-Guericke Universität Magdeburg). Die geplanten Arbeiten bauen auf Vorarbeiten der Bernstein Gruppe Magdeburg auf, die ebenfalls von Prof. Braun geleitet und vom Bundesministerium für Bildung und Forschung (BMBF) unterstützt wurde.Weitere Informationenhttp://kobi.nat.uni-magdeburg.de - Arbeitsgruppe Kognitive Biologie
http://www.bgcn.ovgu.de/ - Bernstein Gruppe Magdeburg
A short-term memory of multi-stable perception.
Laufzeit: 07.11.2008 bis 07.11.2012
It is well known that pauses in the presentation of an ambiguous display may stabilize its perceptual appearance. Here we show that this stabilization depends on an extended history spanning several dominance periods, not merely on the most recent period. Specifically, appearance after a pause often reflects less recent (but longer) dominance periods rather than more recent (but shorter) periods. Our results imply the existence of a short-tem memory for perceptual appearance that builds up over seconds, decays over minutes, and is robust to perceptual reversals. Although this memory is most evident in paused displays, it influences perceptual reversals also when display presentation continues: while the memory of one appearance prevails over that of the other, successive dominance durations are positively correlated. This highly unusual successive dependence suggests that multi-stable perception is not the memoryless renewal process as which it has long been regarded. Instead, a short-term memory of appearance must be added to the multiple processes that jointly produce reversals of perceptual appearance.
Cortical response to task-relevant stimuli outside the focus of attention.
Laufzeit: 07.11.2008 bis 07.11.2012
Selective visual attention enhances the neural response to task-relevant visual items. Responses to task-irrelevant and therefore presumably unattended items are not enhanced, or even suppressed relative to baseline. However, it is unknown what happens to items outside the focus of attention that are nevertheless relevant for the task at hand. We studied the retinotopic neural correlates of such processing with a dual-task fMRI-experiment. An attention-demanding central task was combined with one of two peripheral tasks concerning the same visual stimulus; one posing low and the other high attentional demands. Task-relevance increased BOLD-responses to the peripheral stimulus in the context of both task. For the low-demand task, this increase was accompanied by good behavioral performance. For the high-demand task, performance remained near chance. When the focus of attention was allowed to shift to the peripheral stimulus, neural responses increased even further. In a control experiment, we observed the differential persistence in iconic memory of visual attributes relevant to high- and low-demand tasks, respectively. We conclude that, in the dual-task situation, the focus of attention initially remains on the central task, but subsequently shifts to the former location of the peripheral target. This belated shift to an iconic memory explains the enhanced BOLD-response observed with both tasks. Differential iconic persistence accounts for the disparate behavioral performance. Our results suggest that attentional modulation, but not behavioral performance, is consistently associated with an enhanced BOLD-response.
BMBF Bernstein Group "Components of Cognition: from small Networks to Flexible Rules" Bistable perception: neural representations at the bifurcation
Laufzeit: 01.02.2007 bis 31.12.2010
Multi-stable perception is not the "memoryless" process as which it was long regarded. Recent psychophysical studies reveal both stabilizing and destabilizing effects of perceptual history: the recent experience of a particular percept makes it both more likely (in the short run) and less likely (in the long run) to experience the same percept again. The destabilizing effect presumably reflects some form of adaptation (either neuronal or synaptic). Surprisingly, the destabilizing effect does not seem to actually cause perceptual reversals. Rather, reversals appear to be noise-driven. Cumulative measures of the destabilizing effect reveal only a limited control over reversals. When the cumulative measures of competing percepts are balanced, perception enters transitional states in which neither percept dominates. A competitive network of biophysically realistic neurons replicates this behaviour only when it resides just next to the bifurcation between an adaptation driven regime (limit cycle) and a noise driven regime (metastability). There are a number of ecological and functional reasons why perceptual representations should be established at this bifurcation point.
BMBF Bernstein Group "Components of cognition: from small networks to flexible rules" Individual configurability of plastic synapses in neuromorphic VLSI
Laufzeit: 01.02.2007 bis 31.12.2010
The pioneering work of C. Mead \cite{Mead89} has introduced the term ``neuromorphic engineering'' for a growing family of analog, sub-threshold circuits, which implement the accepted equivalent circuits of biological neurons and synapses in VLSI technology. The ultimate aim of neuromorphic engineering is to mimic the capabilities of biological perception and information processing with a compact and energy-efficient platform. We believe that this goal necessitates from the outset some mechanism of ``learning" that enables neuromorphic devices to adapt (or re-configure) themselves while interacting with an environment. Emulating the example of biological neurons and synapses, our neuromorphic devices attain an ability for "learning" by incorporating ``Hebbian-like" mechanisms of synaptic plasticity. In the "Hebbian" scenario, the efficacy of a synapse is enhanced (i.e., its impact on the post-synaptic neuron is increased), when the activities of pre- and post-synaptic neurons are correlated on a suitable time-scale, and reduced if the activities are anti-correlated on this time-scale. Whether ``Hebbian" learning is based on average firing rates or on individual spikes (``spike-time-dependent plasticity", or STDP) is a matter of continuing debate and a choice that strongly influences alternative designs of neuromorphic synapse circuits. The synaptic circuits described here represent a compromise, in that they combine rate-based ``Hebbian" learning with many aspects of STDP. We illustrate tests and measurements performed on an analog, VLSI chip implementing 128 integrate-and-fire (IF) neurons and 16,384 plastic synapses. Each synapse may be individually configured to be either excitatory or inhibitory and to receive either recurrent input from an on-chip neuron or AER-based input from an off-chip neuron.
European Summer School "Visual Neuroscience: from Spikes to Awareness"
Laufzeit: 01.01.2006 bis 31.12.2010
Bereits zum vierten Mal findet die zweiwöchige Internationale Sommerschule Visuelle Neurowissenschaften statt, die vom Marburger Neurophysiker, Professor Dr. Frank Bremmer, zusammen mit seinen wissenschaftlichen Kollegen Professor Dr. Karl Gegenfurtner (Gießen) und Professor Dr. Jochen Braun (Magdeburg) organisiert wird. Bereits der ersten Sommerschule im September 2004 ebenfalls auf Schloss Rauischholzhausen bescheinigt Bremmer einen unerwartet großen Erfolg .
Wie in den Vorjahren gingen 2010 fast 200 hochkarätige Bewerbungen aus aller Welt ein, aus denen die 30 Besten ausgewählt wurden. Auch die Sprecher sind wieder international höchst anerkannte Spitzenforscher, unter ihnen der diesjährige Leibniz-Preisträger und Direktor des Deutschen Primatenzentrums, Professor Dr. Stefan Treue, und der diesjährige Champalimaud Award Winner, Professor Dr. Anthony Movshon, von der New York University. Bremmer und seine Kollegen sind von dem Erfolg der diesjährigen Veranstaltung und der Euphorie der Teilnehmer so motiviert, dass sie versuchen werden, daraus eine ständige Einrichtung im zweijährigen Abstand werden zu lassen. Die Sommerschule wäre damit ein Gegenpol zu renommierten Veranstaltungen in den USA, zum Beispiel Cold Spring Harbor.
NIMITEK Consistent temporal order speeds association learning: reinforcement learning
Laufzeit: 01.01.2005 bis 31.12.2009
Why are unrelated associations learned more rapidly in a consistent temporal order? Observers viewed highly distinguishable, fractal objects and learned by trial and error to respond to each object with a particular motor response (one of four). In five experiments, associations between visual objects and motor responses were learned more rapidly for objects presented in a consistent temporal order (i.e., objects with consistent predecessor objects). Incremental learning of action weights for current and past objects does not account for the observed effects of temporal order ( direct actor ). However, a modified model with differential learning rates for current and past objects agrees qualitatively with observations. In the modified reinforcement model, a Kalman filter quantifies the certainty with which past observations predict future rewards and adjusts learning rates accordingly (Sutton, 1992, Proceedings of the 7^th Yale Workshop on Adaptive and Learning Systems, pp. 161-166). But does reinforcement learning of additional action weights truly capture the essence of the temporal order effects? We also consider an alternative view, according to which consistent temporal order eases the recognition problem posed by unfamiliar fractal objects.
Bistable Perception Modeled as Competing
Laufzeit: 01.01.2003 bis 31.12.2007
We propose stochastic integration at two neural levels as a model for bistable perception. In this model, two sets of meta-stable populations are driven by visual input, while two further sets are driven by the phenomenal percept. A perceptual reversal occurs whenever the activity associated with one percept exceeds a threshold. Perceptual alternations result from the continuous repetition of this race to threshold. Our model accounts for several hitherto puzzling aspects of bistable perception: the wide range of alternation rates observed under different conditions, the highly consistent statistics, the perceptual stabilization with interrupted displays, and the history-dependence of phenomenal appearance. It also predicts details of the dynamics of bistable perception that have so far not been examined. We conclude that bistable perception reflects the collective nature of neural decision making, rather than specific biophysical properties of individual neurons.
2024
Begutachteter Zeitschriftenartikel
Gradual change of cortical representations with growing visual expertise for synthetic shapes
Kakaei, Ehsan; Braun, Jochen
In: Imaging neuroscience - Cambridge, MA : MIT Press, Bd. 2 (2024), insges. 28 S.
Incidental learning of predictive temporal context within cortical representations of visual shape
Kakaei, Ehsan; Braun, Jochen
In: Imaging neuroscience - Cambridge, MA : MIT Press, Bd. 2 (2024), insges. 23 S.
Navigating pubertal goldilocks - the optimal pace for hierarchical brain organization
Szakács, Hanna; Mutlu, Murat Can; Balestrieri, Giulio; Gombos, Ferenc; Braun, Jochen; Kringelbach, Morten L.; Deco, Gustavo; Kovács, Ilona
In: Advanced science - Weinheim : Wiley-VCH, Bd. 11 (2024), Heft 21, Artikel 2308364, insges. 18 S.
2022
Abstract
Candidate areas for initiating spontaneous reversals of kinetic depth - inferior frontal cortex and insula
Mutlu, Murat Can; Kakaei, Ehsan; Braun, Jochen
In: ResearchGATE - Cambridge, Mass.: ResearchGATE Corp., 2010 . - 2022
Robust decision-making - non-linear responsiveness can enhance stimulus information
Braun, Jochen; Levina, Anna; Giugliano, Michele
In: FENS Forum 2022 - KENES Group, 2022 . - 2022
Direct linear discriminant analysis reveals representational changes of object identity, novelty and temporal community structure during a recognition learning task
Kakaei, Ehsan; Braun, Jochen
In: Bernstein Conference 2022/ Bernstein Conference - [Freiburg], 2022 . - 2022
Begutachteter Zeitschriftenartikel
Alternative female and male developmental trajectories in the dynamic balance of human visual perception
Ziman, Gergó; Aleshin, Stepan; Unoka, Zsolt; Braun, Jochen; Kovács, Ilona
In: Scientific reports - [London] : Macmillan Publishers Limited, part of Springer Nature, Bd. 12 (2022), Artikel 1674, insges. 17 S.
Spike-dependent dynamic partitioning of the locus coeruleus network through noradrenergic volume release in a simulation of the nucleus core
Baral, Shristi; Hosseini, Hassan; More, Kaushik; Fabrin, Thomaz M. C.; Braun, Jochen; Prigge, Matthias
In: Brain Sciences - Basel: MDPI AG, Bd. 12 (2022), 6, insges. 17 S.
2021
Begutachteter Zeitschriftenartikel
Visual object recognition is facilitated by temporal community structure
Kakaei, Ehsan; Aleshin, Stepan; Braun, Jochen
In: Learning & memory - Plainview, NY : Cold Spring Harbor Laboratory Press, Bd. 28 (2021), Heft 5, S. 148-152
Binocular rivalry reveals an out-of-equilibrium neural dynamics suited for decision-making
Cao, Robin; Pastukhov, Alexander; Aleshin, Stepan; Mattia, Maurizio; Braun, Jochen
In: eLife - Cambridge: eLife Sciences Publications, Bd. 10 (2021), insges. 42 S.
2020
Begutachteter Zeitschriftenartikel
Unstructured network topology begets order-based representation by privileged neurons
Bauermeister, Christoph; Keren, Hanna; Braun, Jochen
In: Biological cybernetics - Berlin: Springer, Bd. 114 (2020), S. 113-135
2019
Abstract
Perceptual sensitivity, variability, and stickiness predicted from binocular rivalry dynamics
Aleshin, Stepan; Ziman, Gergö; Kovács, Ilona; Braun, Jochen
In: Perception - London: Sage, 1972, Volume 48, Supplement 2 (2019), Seite 64[Konferenz: 42nd European Conference on Visual Perception, ECVP, Leuven, 2019]
Whole-brain functional correlations underlying spontaneous reversals of kinetic depth (KDE)
Kakaei, Ehsan; Aleshin, Stepan; Ponzi, Adamo; Braun, Jochen
In: Perception - London: Sage, 1972, Volume 48, Supplement 2 (2019), Seite 65[Konferenz: 42nd European Conference on Visual Perception, ECVP, Leuven, 2019]
Development and maturation of perceptual sensitivity, variability, and stickiness
Ziman, Gergö; Aleshin, Stepan; Farkas, Kinga; Unoka, Zsolt; Braun, Jochen; Kovács, Ilona
In: Perception - London: Sage, 1972, Volume 48, Supplement 2 (2019), Seite 39[Konferenz: 42nd European Conference on Visual Perception, ECVP, Leuven, 2019]
Binocular rivalry predicts differential perceptual performance in development and dysfunction
Aleshin, Stepan; Ziman, Gergö; Kovács, Ilona; Braun, Jochen
In: Bernstein Conference - [Freiburg], 2019; Sprekeler, Henning, 2019, Artikel T30[Konferenz: Bernstein Conference 2019, Berlin, September 17-20, 2019]
Functional brain activity underlying spontaneous reversals of kinetic depth (KDE)
Ponzi, Adamo; Kakaei, Ehsan; Aleshin, Stepan; Braun, Jochen
In: Bernstein Conference - [Freiburg], 2019; Sprekeler, Henning, 2019, Artikel W86[Konferenz: Bernstein Conference 2019, Berlin, September 17-20, 2019]
Role of consistent temporal context in learning to recognize complex 3D shapes
Kakaei, Ehsan; Aleshin, Stepan; Braun, Jochen
In: Bernstein Conference - [Freiburg], 2019; Sprekeler, Henning, 2019, Artikel W19[Konferenz: Bernstein Conference 2019, Berlin, September 17-20, 2019]
Buchbeitrag
Reinforcement learning and attractor neural network models of associative learning
Hamid, Ossama H.; Braun, Jochen
In: Konferenz: 9th International Joint Conference on Computational Intelligence, IJCCI 2017 Funchal-Madeira, Portugal, November 1-3, 2017, Computational Intelligence - Cham: Springer; Sabourin, Christophe . - 2019, S. 327-349
Begutachteter Zeitschriftenartikel
Perceptual reversals in binocular rivalry - improved detection from OKN
Aleshin, Stepan; Ziman, Gergo; Kovács, Ilona; Braun, Jochen
In: Journal of vision - Rockville, Md.: ARVO, Volume 19, issue 3 (2019), article 5, insgesamt 18 Seiten
2018
Begutachteter Zeitschriftenartikel
Perceptual coupling induces co-rotation and speeds up alternations in adjacent bi-stable structure-from-motion objects
Pastukhov, Alexander; Zaus, Christina Rita; Aleshin, Stepan; Braun, Jochen; Carbon, Claus-Christian
In: Journal of vision - Rockville, Md. : ARVO - Vol. 18.2018, 4, Art. 21, insgesamt 14 S.
Finer parcellation reveals detailed correlational structure of resting-state fMRI signals
Dornas de Carvalho Silva, Joao Vicente; Braun, Jochen
In: Journal of neuroscience methods - Amsterdam [u.a.] : Elsevier Science, Bd. 294 (2018), S. 15-33
Nicht begutachteter Zeitschriftenartikel
Broadly heterogeneous network topology begets order-based representation by privileged neurons
Bauermeister, Christoph; Keren, Hanna; Braun, Jochen
In: De.arxiv.org - [S.l.]: Arxiv.org, insges. 43 S., 2018
2017
Buchbeitrag
Attractor neural states - a brain-inspired complementary approach to reinforcement learning
Hamid, Oussama H.; Braun, Jochen
In: Konferenz: 9th International Joint Conference on Computational Intelligence, IJCCI 2017, Funchal, Madeira, Portugal, November 1-3, 2017, Proceedings of the 9th International Joint Conference on Computational Intelligence. Volume 1 - [Setúbal]: SCITEPRESS - Science and Technology Publications, Lda.; Sabourin, Christophe . - 2017, S. 385-392
Dissertation
Hierarchical stochastic modelling in multistable perception
Cao, Robin; Braun, Jochen
In: Magdeburg, 2017, xviii, 200 Blätter
2016
Begutachteter Zeitschriftenartikel
Collective activity of many bistable assemblies reproduces characteristic dynamics of multistable perception
Cao, Robin; Pastukhov, Alexander; Mattia, Maurizio; Braun, Jochen
In: The journal of neuroscience: the official journal of the Society for Neuroscience - Washington, DC: Soc, Bd. 36.2016, 26, S. 6957-6972
2015
Begutachteter Zeitschriftenartikel
Transformation priming helps to disambiguate sudden changes of sensory inputs
Pastukhov, Alexander; Vivian-Griffiths, Solveiga; Braun, Jochen
In: Vision research: an international journal for functional aspects of vision - Amsterdam [u.a.]: Elsevier Science, Bd. 116.2015, S. 36-44
2014
Begutachteter Zeitschriftenartikel
Stochastic accumulation by cortical columns may explain the scalar property of multistable perception
Cao, Robin; Braun, Jochen; Mattia, Maurizio
In: Physical review letters - College Park, Md.: APS, 1958, Vol. 113.2014, Art. 098103, insgesamt 5 S.
Dissertation
Bistable attractor dynamics in neuromorphic aVLSI chips
Camilleri, Patrick; Michaelis, Bernd; Burte, Edmund P.; Braun, Jochen
In: Magdeburg, Univ., Fak. für Elektrotechnik und Informationstechnik, Diss., 2014, XVII, 123 S., Ill., graph. Darst., 30 cm
2013
Begutachteter Zeitschriftenartikel
Perceptual adaptation to structure-from-motion depends on the size of adaptor and probe objects, but not on the similarity of their shapes
Pastukhov, Alexander; Lissner, Anna; Braun, Jochen
In: Attention, perception, & psychophysics: AP&P - New York, NY: Springer, 2009 . - 2013
Sensory memory of structure-from-motion is shape-specific
Pastukhov, Alexander; Füllekrug, Jana; Braun, Jochen
In: Attention, perception, & psychophysics: AP&P - New York, NY: Springer, 2009, Bd. 75.2013, 6, S. 1215-1229
Sensory memory of illusory depth in structure-from-motion
Pastukhov, Alexander; Lissner, Anna; Füllekrug, Jana; Braun, Jochen
In: Attention, perception, & psychophysics: AP&P - New York, NY: Springer, 2009 . - 2013
Disparate time-courses of adaptation and facilitation in multi-stable perception
Pastukhov, Alexander; Braun, Jochen
In: Learning & perception - Budapest: Akad. Kiadó, 2009, Vol. 5.2013, Suppl. 2, S. 101-118
Spatial and temporal attention revealed by microsaccades
Pastukhov, Alexander; Vonau, Victoria; Stonkute, Solveiga; Braun, Jochen
In: Vision research - Amsterdam [u.a.]: Elsevier Science, Bd. 85 (2013), S. 45-57
Multi-stable perception balances stability and sensitivity
Pastukhov, Alexander; García-Rodríguez, Pedro E.; Haenicke, Joachim; Guillamon, Antoni; Deco, Gustavo; Braun, Jochen
In: Frontiers in computational neuroscience - Lausanne: Frontiers Research Foundation, 2007, Vol. 7.2013, Art. 17, insgesamt 18 S.
2012
Begutachteter Zeitschriftenartikel
The role of attention in ambiguous reversals of structure-from-motion
Stonkute, Solveiga; Braun, Jochen; Pastukhov, Alexander
In: PLoS one. - Lawrence, Kan : PLoS, Bd. 7.2012, 5, insges. 12 S.
Structure-from-motion - dissociating perception, neural persistence, and sensory memory of illusory depth and illusory rotation
Pastukhov, Alexander; Braun, Jochen
In: Attention, perception, & psychophysics. - New York, NY : Springer, insges. 19 S., 2012
Originalartikel in begutachteter internationaler Zeitschrift
Believable change - bistable reversals are governed by physical plausibility
Pastukhov, Alexander; Vonau, Victoria; Braun, Jochen
In: Journal of vision. - Rockville, Md. : ARVO, Bd. 12.2012, 1, insges. 16 S.
Feature-based attention spreads preferentially in an object-specific manner
Festman, Yariv; Braun, Jochen
In: Vision research. - Amsterdam [u.a.] : Elsevier Science, Bd. 54.2012, S. 31-38
2011
Dissertation
On the role of temporal context in human reinforcement learning
Hamid, Oussama Hussein; Braun, Jochen
In: Magdeburg, Univ., Fak. für Naturwiss., Diss., 2011, 108 S., graph. Darst.
Originalartikel in begutachteter internationaler Zeitschrift
Robust working memory in an asynchronously spiking neural network realized in neuromorphic VLSI
Giulioni, Massimiliano; Camilleri, Patrick; Mattia, Maurizio; Dante, Vittorio; Braun, Jochen; De Giudice, Paolo
In: Frontiers in neuromorphic engineering - Lausanne, S. 1, 2011
Increased readiness for adaptation and faster alternation rates under binocular rivalry in children
Hudak, Mariann; Gervan, Patricia; Friedrich, Björn; Pastukhov, Alexander; Braun, Jochen; Kovacs, Ilona
In: Frontiers in human neuroscience - Lausanne: Frontiers Research Foundation, Vol. 5.2011, Art. 128
Cumulative history quantifies the role of neural adaptation in multistable perception
Pastukhov, Alexander; Braun, Jochen
In: Journal of vision: an ARVO journal : JOV - Rockville, Md: ARVO, Bd. 11.2011, 10, S. 1-10
Originalartikel in begutachteter zeitschriftenartiger Reihe
A Markov model of conditional associative learning in a cognitive behavioural scenario
Glüge, Stefan; Hamid, Oussama H.; Braun, Jochen; Wendemuth, Andreas
In: Foundations on natural and artificial computation - Heidelberg [u.a.]: Springer, S. 10-19, 2011 - (Lecture notes in computer science; 6686)Kongress: IWINAC 4 (La Palma : 2011.05.30-06.03
2010
Begutachteter Zeitschriftenartikel
Rare but precious - microsaccades are highly informative about attentional allocation
Pastukhov, Alexander; Braun, Jochen
In: Vision research - Amsterdam [u.a.]: Elsevier Science, Bd. 50 (2010), 12, S. 1173-1184
Does feature similarity facilitate attentional selection?
Festman, Yariv; Braun, Jochen
In: Attention, perception, & psychophysics - New York, NY: Springer, Bd. 72 (2010), S. 2128-2143
Attractors and noise - twin drivers of decisions and multistability
Braun, Jochen; Mattia, Maurizio
In: NeuroImage - Orlando, Fla.: Academic Press, Bd. 52 (2010), 3, S. 740-751
Originalartikel in begutachteter internationaler Zeitschrift
Attractors and noise: twin drivers of decisions and multistability
Braun, J; Mattia, M
In: Neuroimage
Temporal context and conditional associative learning
Hamid, Oussama H.; Wendemuth, Andreas; Braun, Jochen
In: BMC neuroscience - London: BioMed Central, Bd. 11 (2010), insges. 15 S.
Does feature similarity contribute to attentional selection
Festman, Y; Braun, J
In: Attention, Perception & Psychophysics
Cortical response to task-relevant stimuli presented outside the primary focus of attention
Houtkamp, Rozemarijn; Braun, Jochen
In: Journal of cognitive neuroscience / publ. with the Cognitive Neuroscience Institute - Cambridge, Mass.: MIT Press Journals, Bd. 22 (2010), 9, S. 1980-1992
Temporal context and conditional associative learning
Hamid, O; Wendemuth, A; Braun, J
In: BMC Neuroscience
Rare but precious: what microsaccades tell us about visual attention
Pastukhov, A; Braun, J
In: Vision Research
Originalartikel in begutachteter zeitschriftenartiger Reihe
No stopping and no slowing - removing visual attention with no effect on reversals of phenomenal appearance
Pastukhov, Alexander; Vonau, Victoria; Braun, Jochen
In: Artificial neural networks - ICANN 2010 ; Pt. 1 - Berlin [u.a.] : Springer , 2010, S. 510-515 - (Lecture notes in computer science; 6352) Kongress: ICANN 20 Thessaloniki 2010.09.15-18
Self-sustained activity in attractor networks using neuromorphic VLSI
Camilleri, Patrick; Giulioni, Massimiliano; Mattia, Maurizio; Braun, Jochen; Del Giudice, Paolo
In: The 2010 International Joint Conference on Neural Networks (IJCNN), 2010 - Piscataway, NJ: IEEE, 2010 . - 2010, insges. 6 S.Kongress: IJCNN (Barcelona : 2010.07.18-23)
2009
Buchbeitrag
Attention and consciousness
Braun, J
In: keine Angabe
Begutachteter Zeitschriftenartikel
Visual perception - tracking the elusive footprints of awareness
Blake, Randolph; Braun, Jochen
In: Current biology - London: Current Biology Ltd., Bd. 19 (2009), 1, S. R30-R32
Bistable perception modeled as competing stochastic integrations at two levels
Gigante, Guido; Mattia, Maurizio; Braun, Jochen; Del Giudice, Paolo
In: PLoS Computational Biology/ Public Library of Science - San Francisco, Calif.: Public Library of Science, Bd. 5 (2009), 7, insges. 9 S.
Visual attention is a single, integrated resource
Pastukhov, Alexander; Fischer, Laura; Braun, Jochen
In: Vision research - Amsterdam [u.a.]: Elsevier Science, Bd. 49 (2009), 10, S. 1166-1173
Originalartikel in begutachteter internationaler Zeitschrift
Cortical response to task-relevant stimuli presented outside the focus of attention
Houtkamp, R; Braun, J
In: Journal of Cognitive Neuroscience
Bistable perception modeled as competing stochastic integrations at two level
Gigante, G; Mattia, M; Braun, J; Del Giudice, P
In: PLOS Computational Biology, 5 (7), e1000430: 1-9
Footprints of perception: now you see them, now you don¿t
Blake, R; Braun, J
In: Current Biology, 13: R30-2
2008
Originalartikel in begutachteter internationaler Zeitschrift
Vision - attention makes the cup flow over
Braun, Jochen; Schoenfeld, Mircea Ariel
In: Current biology: CB - Cambridge, Mass.: Cell Press, Bd. 18.2008, 16, S. R713-R715
A short-term memory of multi-stable perception
Pastukhov, Alexander; Braun, Jochen
In: Journal of vision . - Rockville, Md. : ARVO, Bd. 8.2008, 13, insges. 14 S.; Abstract
Originalartikel in begutachteter zeitschriftenartiger Reihe
A network chip of spiking neurons with plastic fully configurable stop-learning synapses
Braun, J; Camilleri, P; Giulioni, M; Dante, V; Badoni, D; Indiveri, G; Del Giudice, P
In: IEEE Conference Electronics Circuits and Systems 2008: 678¿681
2007
Buchbeitrag
Attention and awareness
Braun, J
In: Oxford Companion to Consciousness, P. Wilken, T. Bayne, A. Cleeremens, eds., OUP
A neuromorphic a VSLI network chip with configurable plastic synapses
Camilleri, Patrick; Giulioni, Massimiliano; Dante, Vittorio; Badoni, D.; Indiveri, Giacomo; Michaelis, Bernd; Braun, Jochen; Giudice, Paolo
In: 7th International Conference on Hybrid Intelligent Systems, 2007 - Los Alamitos, Calif. [u.a.]: IEEE Computer Society . - 2007, S. 296-301Kongress: HIS 7 (Kaiserslautern : 2007.09.17-19)
Originalartikel in begutachteter internationaler Zeitschrift
Vision - attending the invisible
Braun, Jochen
In: Current biology: CB - Cambridge, Mass.: Cell Press, Bd. 17.2007, 6, S. R202-R203
Visual rivalry needs no prompting by attention
Braun, J; Pastukhov, A
In: Journal of Vision, 7(10), 5: 1-17
Perceptual reversals need no prompting by attention
Pastukhov, Alexander; Braun, Jochen
In: Journal of vision - Rockville, Md.: ARVO, Bd. 7.2007, 10, Art. 5, insges. 17 S.
Contrast thresholds for component motion with full and poor attention
Tsuchiya, Naotsugu; Braun, Jochen
In: Journal of vision - Rockville, Md.: ARVO, Bd. 7.2007, 3, Art. 1, insges. 15 S.
Originalartikel in begutachteter zeitschriftenartiger Reihe
A neuromorphic a VLSI network chip with configurable plastic synapses
Camilleri, Patrick; Giulioni, Massimiliano; Dante, Vittorio; Badoni, Davide; Indiveri, Giacomo; Michaelis, Bernd; Braun, Jochen; Giudice, Paolo
In: HIS 2007: seventh International Conference on Hybrid Intelligent Systems ; 17-19 September 2007, Kaiserslautern, Germany ; [proceedings] / ed. by Andreas König ... - Los Alamitos, Calif. [u.a.]: IEEE Computer Society, 2007 . - 2007, S. 296-301
- Istituto Superiore Di Sanita, Rom, Italien
- Scuola Internazionale Superiore die Studi Avanzanti, Triest, Italien
- Technion Israel Institute of Technology, Israel
- Universiat Popeu Fabra, Barcelona, Spanien
- Selektion visueller Bewusstseinsinhalte (multistability, attention)
- Ausbildung visueller Gestaltobjekte (grouping, spatial attention, feature attention)
- Anforderungsspezifische Anpassung der visuellen Verarbeitung (attention, set)
- Begrenzte Kapazitäten der visuellen Verarbeitung (attention, saliency, working memory)
- Situationsabhängigkeit des assoziativen Lernens (temporal-context-dependent learning, optimal decision models)
- Verwirklichung spikender Neuronennetze zum assoziativen Lernen auf der Grundlage von analogen VLSI Schaltkreisen ("silicon cortex")
- Selektion visueller Bewusstseinsinhalte (multistability, attention)
- Ausbildung visueller Gestaltobjekte (grouping, spatial attention, feature attention)
- Anforderungsspezifische Anpassung der visuellen Verarbeitung (attention, set)
- Begrenzte Kapazitäten der visuellen Verarbeitung (attention, saliency, working memory)
- Situationsabhängigkeit des assoziativen Lernens (temporal-context-dependent learning, optimal decision models)
- Verwirklichung spikender Neuronennetze zum assoziativen Lernen auf der Grundlage von analogen VLSI Schaltkreisen ("silicon cortex")
Cognitive Biology, Haus 91 | |
Otto-von-Guericke Universität
Leipziger Str 44
39120 Magdeburg
0391 67 55051
Private:
Born 7 Oktober 1957 in Heilbronn, Germany
Married, three children (age 28, 25, and 16)
German nationality
Education:
1980-1985 Ph.D. in Biophysics, University of California at Berkeley, USA
1977-1979 Vordiplom in Biochemistry, Eberhard-Karls Universität Tübingen, Germany
1976-1979 Vordiplom in Chemistry, Eberhard-Karls Universität Tübingen, Germany
Employment:
2004- Professor of Cognitive Biology, Otto-von-Guericke Universität, Magdeburg, Germany
2000-2004 Professor of Theoretical and Cognitive Neurobiology, Univ of Plymouth, UK
1999-2000 Visiting Lecturer, Institute of Neuroinformatics, ETH Zürich, Switzerland
1993-1998 Senior Research Fellow with Christof Koch, Computation and Neural Systems, California
Institute of Technology, Pasadena, California, USA
1990-1993 Research Fellow with David van Essen, Computation and Neural Systems, California Institute
of Technology, Pasadena, California, USA
1986-1989 Visiting Scientist with Dov Sagi, Dept Applied Mathematics, Weizmann Institute of Science,
Rehovot, Israel
Selected academic activities:
2009-16 Associate Editor, Vision Research
2007-11 Member, Scientific Advisory Board, Bernstein Center for Computational Neuroscience
(BCCN) Göttingen
2011-16 Member, Scientific Advisory Board, Bernstein Focus Neurotechnology (BFNT) Göttingen
2004-16 Co-organizer, European Summer School “Visual Neuroscience: from spikes to awareness”
2015 Organizer workshop “Emergent cognition in brain-like systems: compounding heterogeneity
at multiple scales”, Magdeburg, Germany.
2004 Organizer workshop “New perspectives on visual cortex”, Tobermory, Isle of Mull, Scotland.
1999 Organizer workshop “Visual attention and cortical circuits”, Catalina Island, California.
Reviewer for Nature, Science, Nature Neuroscience, Current Biology, Journal of Neuroscience, European Journal of Neuroscience, Journal of Vision, Perception and Psychophysics, and many others.
Referee for Deutsche Forschungsgemeinschaft, European Community, National Science Foundation, Agence National de Recherche, FWF (Wissenschaftsfonds), Wellcome Trust, German Israeli Foundation, and others.
Selected grants:
2018-2022 Analysis, Imaging and Modelling of Neuronal Processes, European Social Funds
2013-2016 Partner in Marie Curie International Training Network INDIREA.
2011-2014 Coordinator of EU FP7 project CORONET “Choreographing neural networks: coupling
activity dynamics across biomimetic brain interfaces with neuromorphic VLSI”.
2007-2010 Coordinator Bernstein Group Magdeburg “Components of cognition: from small networks
to flexible rules”.
2004-2008 European Summer School "Visual Neuroscience: from spikes to awareness", Volkswagen
Foundation, with Prof. K. Gegenfurtner (Giessen) and Prof. F. Bremmer (Marburg).
2002-2006 Coordinator of EU FP5 project ALAVLSI “Attend-to-learn and learn-to-attend with
neuromorphic, analogue VLSI”.
Publications (H-factor 39, ~7000 citations)
Ph.D. Thesis
Cells that guide the growth of neural processes in the embryo of the leech. Advisor Gunther S. Stent, University of California at Berkeley, Fall 1985.
Refereed Journal Papers
1) J Braun, J R Abney and J C Owicki (1984) How a gap junction maintains its structure.
Nature 310, 316-318.
2) R L Gimlich and J Braun (1985) Improved fluorescent compounds for tracing cell
lineage. Developmental Biology 109, 509-514.
3) J Braun, J R Abney and J C Owicki (1987) Lateral interactions among membrane
proteins. I. Valid estimates based in freeze fracture electron micrography.
Biophysical Journal 52, 427-439.
4) J R Abney, J Braun and J C Owicki (1987) Lateral interactions among membrane
proteins. II. Implications for organization of gap junctions. Biophysical Journal 52, 441-454.
5) J Braun and G S Stent (1989) Axon outgrowth along segmental nerves in the leech:
I. Identification of candidate guidance cells. Developmental Biology 132, 471-485.
6) J Braun and G S Stent (1989) Axon outgrowth along segmental nerves in the leech:
II. Identification of actual guidance cells. Developmental Biology 132, 486-501.
7) J Braun and D Sagi (1990) Vision outside the focus of attention. Perception &
Psychophysics 48, 45-58.
8) J Braun and D Sagi (1991) Texture-based tasks are little affected by a second task
which requires peripheral or central attentive fixation. Perception 20, 483-500.
9) M B Ben-Av, D Sagi, and J Braun (1992) Visual attention and perceptual grouping.
Perception & Psychophysics 52, 277-294.
10) J L Gallant, J Braun and D C VanEssen (1993) Selectivity for polar, hyperbolic, and
cartesian gratings in macaque extrastriate cortex. Science 259, 100-103.
11) J Braun (1994) Visual search among items of different salience: removal of visual
attention mimics a lesion in extrastriate area V4. J Neurosci 14, 554-567.
12) J Braun (1994) Shape-from-shading is independent of visual attention and may be a
"texton". Spatial Vision 7, 311-322.
13) C Kolb and J Braun (1995) Blindsight in normal observers. Nature 377, 336-338.
14) C Koch and J Braun (1996) Towards the neural correlate of visual awareness. Curr
Op Neurobiol 6, 158-164.
15) D K Lee, C Koch and J Braun (1997) Spatial vision thresholds in the absence of
attention. Vision Research 37, 2409-2418.
16) L Itti, J Braun, D K Lee and C Koch (1997) A model of early visual processing. Adv
Neur Inf Proc Sys 10, 173-179.
17) J Braun and B Julesz (1998) Dividing attention at little cost: detection and
discrimination tasks. Percep & Psychophys 60, 1-23.
18) J Braun (1998) Vision and attention: the role of training. Nature 393, 424-5.
19) J Braun (1999) On the detection of salient contours. Spatial Vision 12, 211-25.
20) L Itti, J Braun, D K Lee and C Koch (1998) Attentional modulation of uman pattern
psychophysics reproduced by a quantitative model. Adv Neur Inf Proc Sys 11, 789-795.
21) D K Lee, C Koch, J Braun (1999) Attentional capacity is undifferentiated: concurrent
discrimination of form, color, and motion. Perception & Psychophysics 61, 1241-55.
22) D K Lee, L Itti, C Koch, J Braun (1999) Attention activates winner-take-all
competition among visual filters. Nature Neuroscience 2, 375-381.
23) L Itti, C Koch, J Braun (1999) A quantitative model relating visual neuronal activity
to psychophysical thresholds. Neurocomputing 26, 743-8.
24) B Zenger, J Braun, C Koch (2000) Attentional effect on contrast detection in the
presence of salient distractors. Vision Res 40, 3717-24.
25) L Itti, C Koch, J Braun (2000) Revisiting spatial vision: toward a unifying model. J
Opt Soc Am A 17, 1899-917.
26) A Polonsky, R Blake, J Braun, D Heeger (2000) Neuronal activity in human primary
visual cortex correlates with perception during binocular rivalry. Nature Neuroscience 3, 1153-9.
27) O Speck, T Ernst, J Braun, C Koch, E N Miller, L Chang (2000) Gender differences in
the functional organization of the brain for working memory. Neuroreport 11, 2581-5.
28) J Jovicich, R J Peters, C Koch, J Braun, L Chang, T Ernst (2001) Brain areas specific
for attentional load in a motion tracking task. J Cog Neurosci 13, 1048-58.
29) L Chang, O Speck, EN Miller, J Braun, J Jovicich, C Koch, L Itti, T Ernst (2001)
Neural correlates of attention and working memory deficits in HIV patients.
Neurology 57, 1001-7.
30) L Itti, J Braun, C Koch (2001) Modeling the modulatory effect of attention on human
spatial vision. Adv Neur Inf Proc Sys 14, in press.
31) JM Hopf, T Noesselt, C Tempelmann, J Braun, MA Schoenfeld, HJ Heinze (2004)
Popout modulates focal attention in primary visual cortex. Neuroimage 22: 574-82.
32) N Tsuchiya, J Braun (2007) Contrast thresholds of component motion with full and
poor attention. Journal of Vision, 7 (3): 1.1-15.
33) A Pastukhov, J Braun (2007) Visual rivalry needs no prompting by attention.
Journal of Vision, 7 (10): 5.1-17.
34) P Camilleri, M Giulioni, V Dante, D Badoni, G Indiveri, B Michaelis, J Braun, P del
Giudice (2007) A neuromorphic aVLSI network chip with configurable plastic synapses. IEEE Conference Hybrid Intelligent
Systems 2007: 296—301. DOI: 10.1109/HIS.2007.60.
35) A Pastukhov, L Fisher, J Braun (2009) Visual attention is a single, integrated
resource. Vision Research (Special Issue on Attention), 49 (10): 1166-1173.
36) A Pastukhov, J Braun (2008) A short-term memory of multi-stable perception.
Journal of Vision, 8 (13): 7.1-14.
37) M Giulioni, P Camilleri, V Dante, D Badoni, G Indiveri, J Braun, P del Giudice, A
network chip of spiking neurons with plastic fully configurable stop-learning
synapses. IEEE Conference Electronics Circuits and Systems 2008: 678—681. DOI: 10.1109/ICECS.2008.4674944.
38) R Houtkamp, J Braun (2009) Cortical response to task-relevant stimuli presented
outside the focus of attention. Journal of Cognitive Neuroscience, 22 (9): 1980- 92.
39) G Gigante, M Mattia, J Braun, P Del Giudice (2009) Bistable perception modeled as
competing stochastic integrations at two levels. PLOS Computational Biology, 5 (7), e1000430: 1-9.
40) Y Festman, J Braun (2010) Does feature similarity contribute to attentional
selection. Attention, Perception & Psychophysics, 72 (8): 2128-43.
41) O Hamid, A Wendemuth, J Braun (2010) Temporal context and conditional
associative learning. BMC Neuroscience, 11: 45.
42) A Pastukhov, J Braun (2010) Rare but precious: what microsaccades tell us about
visual attention. Vision Research, 50 (12): 1173-84.
43) J Braun, M Mattia (2010) Attractors and noise: twin drivers of decisions and
multistability. (Review submitted by invitation). Neuroimage, 52 (3): 740-51.
44) P Camilleri, M Giulioni, M Mattia, J Braun, P Del Giudice (2010) Self-sustained
activity in attractor networks using neuromorphic VLSI. IEEE Proceedings Int
Joint Conf Neural Netw: 1-6. DOI: 10.1109/IJCNN.2010.5596342.
45) A Pastukhov, V Vonau, J Braun (2010) No stopping and no slowing: removing
visual attention with no effect on visual performance. Int Conf Artif Neur Netw
(ICANN), 6354: 510–515. DOI: 10.1007/978-3-642-15825-4_70.
46) A Pastukhov, J Braun (2011) Cumulative history quantifies the role of neural adaptation in multi-stable perception. Journal of Vision, 11 (10): pii 12.
47) M Hudak, P Gervan, B Friedrich, A Pastukhov, J Braun, I Kovacs
(2011) Increased readiness for adaptation and faster alternation rates under binocular rivalry in children. Frontiers in Human Neuroscience, 5: 128.
48) A Pastukhov, V Vonau, J Braun (2011) Believable change: bistable reversals are goverened by physical plausibility. Journal of Vision, 12 (1): pii 17.
49) M Giulioni, P Camilleri, M Mattia, V Dante, J Braun, P Del Giudice (2011) Robust working memory in an asynchronously spiking neural network realized with neuromorphic VLSI. Frontiers of Neuroscience, 5: 149.
50) Y Festman, J Braun (2012) Feature-based attention spreads in an object-specific manner. Vision Research, 54: 31-8.
51) S Stonkute, J Braun, A Pastukhov (2012) The role of attention in ambiguous reversals of structure-from-motion. PloS One, 7 (5): e37734.
52) A Pastukhov, J Braun (2012) Disparate time-courses of adaptation and facilitation in multi-stable perception. Learning & Memory, 5(2): 101–118.
53) A Pastukhov, V Vonau, S Stonkute, J Braun (2013) Spatial and temporal attention revealed by microsaccades. Vision Research, 85(0), 45–57.
54) A Pastukhov, J Braun (2013) Structure-from-motion: dissociating perception, neural persistence, and sensory memory of illusory depth and illusory rotation. Attention, Perception & Psychophysics, 75(2): 322-40.
55) A Pastukhov, P Garcia-Rodriguez, J Haenicke, T Guillamon, G Deco, J Braun (2013) Multi-stable perception balances stability and sensitivity. Front. Comput. Neurosci, 7: 17.
56) A Pastukhov, A Lissner, J Füllekrug, & J Braun (2013). Sensory memory of illusory depth in structure-from-motion. Attention, Perception, & Psychophysics, 76(1), 123-32.
57) A Pastukhov, J Füllekrug, J Braun (2014) Sensory memory of structure-from-motion is shape-specific. Attention, Perception & Psychophysics, 75(6), 1215–1229.
58) A Pastukhov, A Lissner & J Braun (2014). Perceptual adaptation to structure-from-motion depends on the size of adaptor and probe objects, but not on the similarity of their shapes. Attention, perception & psychophysics, 76(2), 473-88.
60) R Cao, J Braun & M Mattia (2014) Stochastic accumulation by cortical columns may explain the scalar property of multi-stable perception. Physics Review Letters, 113, 098103.
61) A Pastukhov, S Vivian-Griffiths & J Braun (2015) Transformation priming helps to disambiguate sudden changes of sensory inputs. Vision Research, 116, 36—44.
62) R Cao, A Pastukhov, M Mattia, J Braun (2016) Collective activity of many bistable assemblies reproduces characteristic dynamics of multistable perception. J. Neurosci., 36(26): 6957–72.
63) J V Dornas, J Braun (2018) Finer parcellation reveals intricate correlational structure of resting-state fMRI signals. J. Neurosci.
Meth., 294, 15—33.
64) A Pastukhov, C R Zaus, S Aleshin, J Braun, C-C Carbon (2018) Perceptual coupling induces co-rotation and speeds up alternations in adjacent bi-stable structure-from-motion objects. Journal of Vision, 18(4): 21.
65) S Aleshin, G Ziman, I Kovacs, J Braun (2018) Perceptual reversals in binocular rivalry: improved detection from OKN. Journal of Vision, 19 (3): 5, 1-18.
66) C Bauermeister, H Keren, J Braun (2020) Broadly heterogeneous network
topology begets order-based representation by privileged neurons. Biological
Cybernetics, 114(1), 1134-135.
67) R Cao, A Pastukhov, S Aleshin, M Mattia, J Braun (2021) Binocular rivalry
reveals and out-of-equilibrium neural dynamics suited for decision-making. eLife
10: e61581.
68) E Kakaei, S Aleshin, J Braun (2021) Visual object recognition is facilitated by
temporal community structure. Learning & Memory, 28: 148-152.
69) G Ziman, S Aleshin, Z Unoka, J Braun, I Kovacs (2022) Alternative female
and male developmental strategies in the dynamical balance of human visual
perception. Scientific Reports, 12 (1): 1-17.
70) S Baral, H Hosseini, K More, T M C Fabrin, J Braun, M Prigge (2022)
Spike-dependent dynamic partitioning of the Locus coeruleus network through
noradrenergic volume release in a simulation of nucleus core. Brain Sciences, 12
(1): 1-17.
Book chapters
1) J Braun (1997) Divided attention: narrowing the gap between brain and behavior.
In: The Attentive Brain, Parasuraman, R., ed., MIT Press, Cambridge, MA.
2) C Koch & J Braun(1996) On the functional anatomy of visual awareness. In: Cold Spring Harbor Symp Quant Biol Vol. LXI, 49-57.
3) J Braun, C Koch, D K Lee, L Itti (2001) Perceptual consequences of visual attention. In: Visual attention and cortical circuits. J Braun, C Koch, and J Davis, eds, MIT Press, Cambridge, MA.
4) H-U Bauer and J Braun (2000) Is there parallel binding of distributed objects? In: Preparational Intelligence: Adaptive Behavior and Intelligent Systems Without Symbols and Logic. H Cruse et al, eds, Kluwer.
5) J Braun (2009) Attention and consciousness. In: The Oxford Companion to
Consciousness. T Bayne, A Cleeremans, and P Wilken, eds, Oxford University Press.
6) S Glüge, O Hamid, J Braun, A Wendemuth (2011) A Markov model of conditional associative learning in a cognitive behavioral scenario. In: Foundations of Natural and Artificial Computation. J M Ferrandez, J R A Sanchez, F de la Paz, J Toledo, eds, Springer Press.
Books
Visual attention and cortical circuits. J Braun, C Koch, and J Davis, eds, MIT Press, 2001.
Commentary
1) J Braun (2000) Targeting visual motion (News&Views). Nature Neuroscience 3, 9-11.
2) J Braun (2000) The emperor has some clothes (Book review). Nature Neuroscience 3, 975
3) J Braun (2000) Intimate attention. (News & Views). Nature 408, 154-5.
4) J Braun (2001) It's great but not necessarily about attention. (Commentary). Psyche 7(06).
5) J Braun (2002) Visual attention: light enters the jungle. (Dispatch). Current Biology 12, R599.
6) J Braun (2003) Natural scenes upset the visual applecart. (Research News). Trends Cogn Sci, 7: 7-9.
7) J Braun (2007) Attending the invisible. (Dispatch) Current Biology, 17: R202-3.
8) J Braun (2007) Attention and awareness. In: Oxford Companion to Consciousness, P. Wilken, T. Bayne, A. Cleeremens, eds., OUP, in press.
9) J Braun, A Schönfeld (2008) Vision: attention makes the cup flow over. (Dispatch) Current Biology, 18: R713-5.
10) R Blake, J Braun (2009) Footprints of perception: now you see them, now you don’t. (Dispatch) Current Biology, 13: R30-2.
Invited research seminars (last decade)
2022
Universitätsklinikum Eppendorf, Universität Hamburg, Germany
Neurocenter, Geneva University, Geneva, Switzerland
Neuroscience and Cognitive Science, New York University, New York, USA
Dept Psychology, Brown University, Providence, Rhode Island, USA
Kavli Institute for Brain Science, Columbia University, New York, USA
Dept. Neuroscience, Albert Einstein Medical College, Bronx, New York, USA
Dept Neurobiology, Stony Brook University, Stony Brook, New York, USA
(virtual) Dept Physics, University of Denver, Denver, Colorado, USA
2021
(virtual) National Center for Computational Physics, Istituto Superiore Di Sanità (ISS), Rome, Italy
(virtual) Dept. Neurobiology, Scuola Internazionale Superiore di Studi Avanzati (SISSA), Trieste, Italy
2020
MPI Dynamics and Self-Organization, Göttingen, Germany
(virtual) Frankfurt Institute of Advanced Studies & MPI for Empirical Aesthetics, Frankfurt, Germany
Bernstein Center of Computational Neuroscience, Humboldt University, Berlin, Germany
(virtual) Institut für Physik, Technische Universität Chemnitz, Germany
(virtual) Dept Neurology, La Sapienza University, Rome, Italy
2019
Center of Brain and Cognition, Universitat Pompeu Fabra, Barcelona, Spain
Bernstein Center of Computational Neuroscience, Humboldt University, Berlin, Germany
MPI Dynamics and Self-Organization, Göttingen, Germany
2018
Dept Psychology, Catholic University Budapest, Hungary
Dept Neuroscience, Weizmann Institute of Science, Rehovot, Israel
Dept Psychology, Haifa University, Haifa, Israel
Network Biology Research, Israel Institute of Technology (Technion), Haifa, Israel
Institute of Neuroinformatics, ETH Zürich, Switzerland
Workhsop “The many flavors of Effective Connectivity: from neuronal cultures to fMRI”,
European Institute for Theoretical Neuroscience, Paris, France
2017
Universitätsklinikum Eppendorf, Hamburg, Germany
Institute of Neuroinformatics, ETH Zürich, Switzerland
Workshop “Criticality and Brain Dynamics”, Hanse Wissenschaftskolleg, Delmenhorst, Germany
Computational Neuroscience, University Pompeu Fabra, Barcelona, Spain
Hertie Institute of Neuroscience, University of Tübingen, Germany
Gatsby Computational Neuroscience, University College London, London, UK
Neurotheory Group, Dept Physiology, Oxford University, Oxford, UK
2016
Cognitive Neuroinformatics, University of Bremen, Bremen, Germany
Network Biology Research Labs, Israel Institute of Technology (Technion), Haifa, Israel
Workshop “Brain Manifesto 2.0”, Beuggen, University of Freiburg, Germany
Center for Neural Science, New York University, New York, USA
Neuroscience Institute, Princeton University, Princeton, New Jersey, USA
Cognitive Neurophysiology, National Institutes of Mental Health, Bethesda, Maryland, USA
Department of Neuroscience, Columbia University Medical Center, New York, USA
HWK Hanse Lecture, Wissenschaftskolleg Delmenhorst, Germany
2015
École des Neurosciences, École Normale Superieure, Paris, France
Dept Psychology, University of Giessen, Germany
OCCAM 2015, Dept Psychology, University of Osnabrück, Germany
Theoretical Physics Unit, Istituto Superiore Di Sanità, Rome, Italy
Computational Neuroscience, University Pompeu Fabra, Barcelona, Spain
Dept Psychology, Oxford University, Oxford, UK
Dept Neurology, University La Sapienza, Rome, Italy
2014
Redwood Center for Theoretical Neuroscience, University of California at Berkeley, USA
Dept Psychology, Stanford University, Palo Alto, California, USA
Systems Neurobiology, Salk Institute for Biological Studies, La Jolla, California, USA
Computation and Neural Systems, California Institute of Technology, Pasadena, USA
Dept Psychology, University of California at Santa Barbara, California, USA
MPI Dynamics and Self-Organization & BCCN Göttingen, Germany
Center for Integrative Neuroscience & BCCN Tübingen, Germany
Netherlands Institute for Neuroscience, Amsterdam, Netherlands
Experimental Psychology, University of Utrecht, Netherlands
Craik Club, Experimental Psychology, Cambridge University, Cambridge, UK
Gatsby Computational Neuroscience Unit, University College London, London, UK
National Center for Computational Physics, Istituto Superiore Di Sanità, Rome, Italy