Saturday 30 May 2020
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EITN Theory Partners Presentation

 

Ramp-up phase
SP4 workpackages details

October 2013 - March 2016

WP4.1 Bridging Scales - Leader: Alain Destexhe (CNRS)

  • T4.1.1 Derive simplified neuron and neural circuit models from biophysically morphologically detailed models. Leader: Idan Segev (HUJI); Participants: Alain Destexhe (CNRS) and Wulfram Gerstner (EPFL).
  • T4.1.2 Modelling brain signals at different scales, from intracellular, local field potentials, VSD up to EEG and MEG signals. Leader: Alain Destexhe (CNRS); Participant: Gaute Einevoll (UMB).
  • T4.1.3 Mechanistic models of cognition linked to the neural substrate by population density methods. Leader: Marc de Kamps (ULEEDS).

WP4.2 Synaptic plasticity, learning and memory - Leader: Wulfram Gerstner  (EPFL)

  • T4.2.1 Derive learning rules from biophysical synapse models. Leader: Walter Senn (UBERN); Participants: Misha Tsodyks (WIS) and Wulfram Gerstner (EPFL).
  • T4.2.2 Unsupervised learning rules and emergent connectivity. Leader: Wulfram Gerstner (EPFL).
  • T4.2.3 Structures of spiking learning algorithms. Leader: Andre Grüning (SURREY).

WP4.3 Large-scale models of human cognitive function - Leader: Gustavo Deco (UPF)

  • T4.3.1 Models for perception-action. Leader: Gustavo Deco (UPF); Participants: Neil Burgess (UCL) and Olivier Faugeras (INRIA).
  • T4.3.2 Models of working memory and the effects of attention. Leader: Misha Tsodyks (WIZ)
  • T4.3.3 Models of biologically realistic network states; wakefulness and sleep. Leader: Alain Destexhe (CNRS); Participants: Abigail Morrison (JÜLICH) and Gustavo Deco (UPF)
  • T4.3.4 Computational model of astrocyte-neuron interaction for future large-scale simulations. Leader: Marja-Leena Linne (TUT).

WP4.4 Principles of brain computation - Leader: Wolfgang MAASS (TUGRAZ)

  • T4.4.1 Principles of computation in single neurons nad neural microcircuits. Leader: Wolfgang Maass (TUGRAZ); Participants: Alain Destexhe (CNRS), Henry Markram (EPFL) and Idan Segev (HUJI).
  • T4.4.2 Novel Computing systems inspired by biology. Leader: Joni Dambre (UGENT); Participant: Wolfgang Maass (TUGRAZ).
  • T4.4.3 Closed loop analysis of population coding. Leader: Olivier Marre (UPMC).

WP4.5 The European Institute for Theoretical Neuroscience - Leader: Alain Destexhe (CNRS)

  • T4.5.1 Setting up and administration of the Institute. Leader: Alain Destexhe (CNRS).
  • T4.5.2 Visitor and workshop program. Leader: Alain Destexhe (CNRS).

WP4.6 Theoretical Neuroscience: Scientific coordination - Leader: Alain Destexhe (CNRS)

  • T4.6.1 Scientific coordination and support. Leader: Alain Destexhe (CNRS).

 

 

ALAIN DESTEXHE, CNRS

Alain Destexhe is biophysicist and Research Director (DRCE) at the CNRS, within the Paris-Saclay Institute of Neuroscience (Neuro-PSI), UMR9197. At Neuro-PSI, he leads the computational neuroscience group comprising 15 researchers (permanent researchers, postdocs and PhD students) and staff members. He is co-Editor in Chief of The Journal of Computational Neuroscience, and in the board of 7 other journals including Journal of Neural Engineering. He has been involved as WP leader in multiple European projects and numerous grant review committees in Europe and USA.


He is author of 2 monographs, 6 edited books, and about 300 publications, including about 150 peer-reviewed journal articles. In 2014, Alain Destexhe initiated the European Institute for Theoretical Neuroscience (EITN) in Paris, and he is currently the scientific director of the EITN.   

 

GUSTAVO DECO, UPF  

Gustavo Deco is Research Professor at the Institucio Catalana de Recerca i Estudis Avançats. He is also Full Pofessor (Catedrático) at the Pompeu Fabra University (Barcelona), where he is also the head of the Computational and Theoretical Neuroscience Group and Director of the Center of Brain and Cognition. He received his Ph.D. degree in Physics in 1987 (National University of Rosario, Argentina). In 1997, he obtained his habilitation (academic degree in Germany) in Computer Science (Dr. rer. nat. habil.) at the Technical University of Munich for his thesis on Neural Learning. From 1990 to 2003, he headed Computational Neuroscience Group at the Siemens Corporate Research Center in Munich, Germany.

In 2001, he received his PhD in Psychology (Dr. phil.) for his thesis on Visual Attention at the Ludwig-Maximilian-University of Munich. He was awarded an ERC Advanced Grant.

 

MARKUS DIESMANN, JÜLICH

Markus Diesmann is the director of the Institute of Neuroscience and Medicine (INM-6, Computational and Systems Neuroscience), the Institute for Advanced Simulation (IAS-6, Theoretical Neuroscience), and the JARA-Institut Brain structure-function relationships (INM-10) at Forschungszentrum Jülich, Germany, where he heads the Group on Computational Neurophysics. He is also full professor in Computational Neuroscience at the School of Medicine, RWTH University Aachen, Germany. He studied physics at the Ruhr University Bochum, Germany, and carried out his PhD studies at Weizmann Institute of Science, Rehovot, Israel, and Albert-Ludwigs-University, Freiburg, Germany.

His main scientific interests include the correlation structure of neuronal networks, models of cortical networks, simulation technology and supercomputing. He is one of the original authors of the NEST simulation code and a member of the steering committee of the NEST Initiative.

 

GAUTE EINEVOLL, NMBU and University of Oslo

Gaute T. Einevoll is a professor of physics at the Norwegian University of Life Sciences and University of Oslo. He is interested in various aspects of multiscale modeling of the brain, including how to compute brain signals, how to connect models at different levels of detail, modeling of astrocytes and their interactions with neurons, as well as development of neuroinformatics tools. Dr. Einevoll received his master’s in physics from the Norwegian University of Science and Technology in Trondheim in 1985 and his doctoral degree in theoretical physics from the same university in 1991.


He is a co-leader of the Norwegian national node of the International Neuroinformatics Coordinating Society (INCF).

 

OLIVIER FAUGERAS, INRIA

Olivier Faugeras is a mathematician and computer scientist working in mathematical neuroscience. He is Emeritus Research Director at INRIA, co-Editor in chief of the Journal of Mathematical Neuroscience, and a member of the French Academy of Sciences.

 

SONJA GRÜN, JÜLICH

Sonja Grün is the director of the Institute of Neuroscience and Medicine (INM-6, Computational and Systems Neuroscience) and the JARA-Institut Brain structure-function relationships (INM-10) at Forschungszentrum Jülich, Germany, where she heads the Group on Statistical Neuroscience. She is also a full professor for Theoretical Systems Neurobiology at RWTH Aachen University, Germany.


After receiving her diploma and Dr. rer. nat. in physics and her habilitation in neurobiology and biophysics (University of Freiburg, Germany), she was a post-doc at the Hebrew University, Jerusalem, (Israel), where she performed multiple singleneuron recordings in behaving monkeys. She then returned to computational neuroscience to develop analysis tools for multi-electrode recordings, first at the Max-Planck Institute for Brain Research in Frankfurt/Main, Germany, and then as an Assistant Professor at the Freie Universität in Berlin. In 2006 she became Unit Leader and in 2010 Team Leader at the RIKEN Brain Science Institute Wako-Shi, Japan, leading the Statistical Neuroscience lab. Her research focuses on the identification and analysis of cooperative network dynamics relevant for brain function and behaviour.  

    

VIKTOR JIRSA, AMU

Viktor Jirsa is Director of the Inserm Institut de Neurosciences des Systèmes at Aix-Marseille-Université and Director of Research at the Centre National de la Recherche Scientifique (CNRS) in Marseille, France. Dr. Jirsa received his PhD in 1996 in Theoretical Physics and Applied Mathematics and has since then contributed to the field of Theoretical Neuroscience, in particular through the development of large-scale brain network models based on realistic connectivity, linking network dynamics to brain function and imaging. His work has been foundational for network science in medicine with translations to clinical applications in neurosurgery and has contributed to a better understanding of human behavior and epilepsy.


Dr. Jirsa serves as scientific lead of the brain simulation platform The Virtual Brain (www.thevirtualbrain.org) and lead scientist (WP1) of the European flagship Human Brain Project (https://www.humanbrainproject.eu/). Dr. Jirsa has been awarded several international and national awards for his research including the Grand Prix Départemental de Recherche en Provence (2018), Early Career Distinguished Scholar Award (NASPSPA, 2004) and Francois Erbsmann Prize (2001). Dr. Jirsa serves on various Editorial and Scientific Advisory Boards and has published more than 160 scientific articles and book chapters, as well as co-edited several books including the Handbook of Brain Connectivity.

 

JEANETTE HELLGREN KOTALESKI, KTH         

Jeanette Hellgren Kotaleski holds an MSc in Engineering Physics, a Licentiate degree in Medical Sciences and a Ph.D. in Computer Science. Since her postdoctoral studies in systems biology at the Krasnow Institute, George Mason University, USA, she has been a full professor in Neuroinformatics at KTH since 2007. She is the coordinator of an international Erasmus Mundus joint Ph.D. programme involving Partners from Germany, UK and India and is the leader of the Swedish INCF node. Dr. Hellgren-Kotaleski co-directs the HBP Brain Simulation Subproject.

                                                                          

MARJA-LEENA LINNE, TUT                                       

Marja-Leena Linne is a Research Team Leader at Tampere University of Technology (TUT, Finland) and Coordinator of INCF National Node of Finland. She holds an Adjunct Professorship in Computational Neuroscience and Neuroinformatics at TUT. Dr. Linne received her M.Sc. in electrical engineering in 1993 and a Ph.D. in signal processing and computational neuroscience in 2001. She was awarded an Academy Research Fellow position (equivalent to Associate Professor) in 2004 to establish an interdisciplinary research team in computational neuroscience. Dr. Linne’s current research interests include development of new models for cellular and subcellular (both neuronal and glial) mechanisms responsible for excitability and plasticity in mammalian cortical networks. She performed experimental work on astrocytes in the early 1990s and used patch clamp, multi-electrode arrays, and microscopy in her work. Her research group also develops theoretical tools to assess the growth and structure-function relationships in local networks. Dr. Linne has developed novel stochastic approaches to model neural systems.

 

IDAN SEGEV, HUJI

Idan Segev is the David and Inez Myers Professor in Computational Neuroscience at the Edmond and Lily Center for Brain Sciences (ELSC), and the former director of the Interdisciplinary Center for Neural Computation (ICNC) at the Hebrew University of Jerusalem. He received his B.Sc (1973) in Math and his Ph.D (1982) in experimental and theoretical neurobiology from the Hebrew University. His work is published in reputed journals and he has received several several Intl. awards, some for his excellent teaching abilities.


Segev takes a keen interest in the connection between art and the brain and has recently co-edited “Artists” book with original etchings by ten top Israeli artists following an intense encounter with 10 brain-researchers. Segev, the world’s undisputed leader and a pioneer on model neurons, has been instrumental in providing the theoretically ground for an automated building of model neurons used presently in in the Blue Brain Project and in Allen Institute. He is a Chief editor for the open access journal, Frontiers in Neuroscience, and co-editor for Frontiers for Young Minds, an open journal for kids, written by top scientists worldwide and reviewed by kids.

 

WALTER SENN, UBERN                                                 

Walter Senn holds a Ph.D. in differential geometry and calculus of variation from the University of Bern. After post-doctoral studies in Neural Computation at Hebrew University, Jerusalem, under Professor  Idan Segev, and research at the National Institutes of Health and the Center for Neural Sciences (USA), he joined the Department of Physiology at the University of Bern, where he is a full professor in the Department of Computational Neuroscience and co- Editor-in-Chief of Biological Cybernetics. His interests include explaining learning and behaviour using mathematical models of neurons and synapses, and using spiking neuron models and spike-timing dependent synaptic plasticity to understand how learning, memory and perception can emerge from mutually connected neurons. His current focus is on reward-based learning, decision making and spatial map formation.

 

SACHA VAN ALBADA, JÜLICH

Sacha van Albada leads the group "Theoretical Neuroanatomy" at the Institute of Neuroscience and Medicine (INM-6) at Research Center Jülich, and is Junior Professor in Computational Neuroanatomy at the University of Cologne, Germany. She combines anatomical and physiological data from a wide range of sources to build neural network models of mammalian cerebral cortex. The aim is to understand relationships between cortical structure and dynamics, and to provide models that serve as platforms for further refinement and for incorporating cortical function.


Selected recent publications:

-  Schmidt M, Bakker R, Shen K, Bezgin G, Diesmann M, van Albada SJ. A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas. PLOS Computational Biology. 2018; 14(10). 

Schmidt M, Bakker R, Hilgetag CC, Diesmann M, van Albada SJ. Multi-scale account of the network structure of macaque visual cortex. Brain Structure and Function. 2018; 223(3):1409-35.     

- van Albada SJ, Rowley AG, Senk J, Hopkins M, Schmidt M, Stokes AB, Lester DR, Diesmann M, Furber SB. Performance comparison of the digital neuromorphic hardware SpiNNaker and the neural network simulation software NEST for a full-scale cortical microcircuit model. Frontiers in Neuroscience. 2018; 12:291.

- Maksimov A, Diesmann M, van Albada SJ. Criteria on balance, stability, and excitability in cortical networks for constraining computational models. Frontiers in Computational Neuroscience. 2018; 12:44.

 

Members in previous phase

 

NEIL BURGESS, UCL:                                                      

Neil Burgess is a professor of cognitive and computational neuroscience, a Wellcome Trust Principal Research Fellow, and Deputy Director of the UCL Institute of Cognitive Neuroscience. His laboratory investigates the neural mechanisms of memory using a combination of methods including computational modelling, human neuropsychology and functional neuroimaging, and single unit recordings in freely moving rodents. His main goal is to understand how the actions of networks of neurons in our brains allow us to remember events and the spatial locations where they occurred. After studying math and physics at UCL he did a Ph.D. in theoretical physics in Manchester and a research fellowship in Rome, before returning to UCL funded by a Royal Society University Research Fellowship and the Medical Research Council (UK).

JONI DAMBRE, UGENT:                                                 

Joni Dambre is a professor at Ghent University and head of the UGent Reservoir Lab in the Engineering Faculty. Her lab addresses theoretical research and applications of recurrent neural networks, reservoir computing, and several other machine learning techniques. The group has a special interest in neuro-inspired computing by directly exploiting the dynamics of analogue systems. As an engineer and a computer scientist, Prof. Dambre’s original research addressed interconnection complexity in digital design. In 2008, she shifted towards reservoir computing in general and analogue hardware realisations of the reservoir computing concept in particular. Currently she is focused on building biologically plausible analogue reservoir architectures that can learn without global supervision, i.e. using either unsupervised or reward modulated learning. She is very interested in model abstractions that can bridge the gap between biologically plausible learning mechanisms and learning rules that are efficient in complex tasks.

MARC DE KAMPS, LEEDS:                                             

Marc de Kamps is a researcher in the School of Computing of the University of Leeds. His expertise is in population density techniques, applied to populations of spiking neurons. He holds a PhD in high energy physics, and has considerable experience in the application of stochastic methods to neural dynamics, using a combined analytic and numerical approach. He also works on models of visual attention and neural language representation. In the past he was responsible for running the FET-funded Thematic Network nEUro-IT.net, which was instrumental in bringing together a European network of neuroscientists, engineers and computer scientists.

WULFRAM GERSTNER, EPFL:                                     

Wulfram Gerstner studied physics at the universities of Tubingen and Munich and received a Ph.D. from the Technical University of Munich. His research in computational neuroscience concentrates on models of spiking neurons and spike-timing dependent plasticity, on neuronal coding in single neurons and populations, and on the role of spatial representation for navigation of rat-like autonomous agents. He currently has a joint appointment at the School of Life Sciences and the School of Computer and Communications Sciences at EPFL, wherehe teaches courses for physicists, computer scientists, mathematicians, and life scientists.

MICHELE GIUGLIANO, UA:                                           

Michele Giugliano is a Principal Investigator and a tenured Associate Professor (ZAP-BOF research mandate, Hoofddocent) in the Department of Biomedical Sciences and at the University of Antwerp in Belgium. He leads the of the Laboratory for Theoretical Neurobiology and Neuroengineering.His studies focus on cortical and cerebellar function using a combination of technological, experimental and theoretical approaches. These range from substrate arrays of microelectrodes to patch-clamp, from in vitro cellular electrophysiology to in vivo recordings, from the micro- and nanotechnologies for neural engineering applications to the computer simulation of realistic models of neurons and neuronal networks. His group also develop neural simulation software (visit their website for simulated calcium images of a modelled cerebellar Purkinje cell).

ANDRE GRÜNING, HOST:                                         

Andre Grüning is a Professor of Mathematics and Computational Intelligence at the University of Applied Science Stralsund (Germany). Previously he was a Senior Lecturer (Associate Professor) in Computational Intelligence in the Department of Computer Science of the University of Surrey (UK). He held research posts in Computational Neuroscience at SISSA, Trieste, and in Cognitive Neuroscience, University of Warwick. He was awarded his PhD from the University of Leipzig, pursuing his PhD research at the Max Planck Institute for Mathematics in the Sciences, Leipzig, working in the complex systems group.

His research concentrates on the overlap of AI and Computational and Cognitive Neuroscience, especially learning algorithms for spiking neural networks. In particular, Prof Grüning has been working on the computational power of neural networks, aspects of unifying reinforcement and supervised learning approaches or learning in multi-layered spiking neural networks, and biologically based implementing learning rules on neuromorphic hardware.

 

WOLFGANG MAASS, TUGRAZ:                                    

Wolfgang Maass’ early research was in the theory of computation in mathematicsafter which he moved on to computational complexity theory and the theory of learning in theoretical computer science. Since 1995 his research has focused on the extraction of principles of brain computation and learning from experimental data. Maassand Henry Markram designed the liquid computing model for understanding universal computations in cortical microcircuits. This has now become a classical reference work, inspiring numerous innovative ideas in engineering. In his current research, he is analysing the role of noise and variability in computation and learning by biological neural systems. He has published some 200 research articles and has been editor of several journals.

HENRY MARKRAM, EPFL:                                             

Henry Markram is the founder of the Brain Mind Institute, founder and director of the Blue Brain Project, and the coordinator of the Human Brain Project. After earning his Ph.D at the Weizmann Institute of Science (Israel), with distinction, he was a Fulbright scholar at the National Institutes of Health (USA), and a Minerva Fellow at the Max-Planck Institute for Medical Research, Germany. In 1995 he returned to the Weizmann Institute, becoming an Associate Professor in 2000. In 2002 he became a full professor at EPFL. Markram’s research has focused on synaptic plasticity and the microcircuitry of the neocortex, in which he has discovered fundamental principles governing synaptic plasticity and the structural and functional organisation of neural microcircuitry. Other key discoveries include the concept of Liquid Computing and the Intense World Theory of Autism. In 2005 he launched the Blue Brain Projectto develop a data integration strategy for neuroscience that plays an important role in the HBP. Markram has published more than 100 papers and has an H-index of 53, one of the highest in his area of research and stage of career. Since 2002, Markram has spearheaded Switzerland’s ambition to become a world leader in High Performance Computing and to prioritise simulation-based research; these fields are now two of the three national research priorities declared by the Swiss government (http://www.ethrat.ch/en/ section-general-news/successes-education- and-research-call-more-resources). Markram is also founder of Frontiers (frontiersin.org), a new model for peer-reviewed open-access publishing.

OLIVIER MARRE, UPMC:                                               

Olivier Marre is an INSERM researcher (since 2013) in the Vision Institute (Paris), working in the team headed by Serge Picaud. He did his PhD (defended in 2008) with Yves Fregnac (CNRS, Gif-sur-Yvette) studying the visual cortex with both theoretical models and intracellular recordings in vivo. He then did a post-doc at Princeton University with Michael Berry, where he developed a new technique to record almost all the output neurons in a patch of retina. He is a laureate of the “ANR retour post-doc” (2012-2014) return grant to start working in the Vision Institute. He designed models of the visual cortex network during his PhD, and also did experiments to study the neural coding of natural stimuli by the neurons of the primary visual cortex of the cat. He also developed a technique to measure the retinal output sent to the brain during his post-doc at Princeton University, and showed that the recorded output can be used to precisely reconstruct the trajectory of a randomly moving object from the responses of hundreds of neurons to this stimulus.

ABIGAIL MORRISON, JÜLICH:                                     

Abigail Morrison received a Master’s degree in non-symbolic artificial intelligence from the University of Edinburgh, UK and a Ph.D. from Albert Ludwigs University and the Bernstein Center for Computational Neuroscience, Freiburg, Germany. In 2006, she performed postdoctoral work at the Bernstein Center for Computational Neuroscience, Freiburg, Germany and then became a Research Scientist in Computational Neurophysics, RIKEN Brain Science Institute, Wako-Shi, Saitama, Japan (2007-2009). Between 2009 and 2012 she was a Junior Professor for Computational Neuroscience and led the Functional Neural Circuits Group, Faculty of Biology, Albert Ludwigs University, Freiburg, Germany. Since 2012, she has led the Functional Neural Circuits Group, INM-6, Forschungszentrum Jülich, and Professor at the Ruhr University of Bochum, Germany. Since 2013, she has headed the Simulation Laboratory Neuroscience at Jülich Supercomputing Centre, Forschungszentrum Jülich.

MISHA TSODYKS, WEIZMANN:                                     

Misha Tsodyks has a Ph. D. in theoretical physics from Landau Institute of Theoretical Physics, Moscow (Russia). He has worked as a researcher in mathematical neuroscience at the Institute of Neurophysiology of the Soviet Union Academy of Science, and then as a senior lecturer at the Hebrew University of Jerusalem, where he researched neural networks theory. He was post-doctoral fellow at the Salk Institute (USA) in computational neuroscience, after which he returned to Israel to take a faculty position at the Weizmann Institute of Science.

SHIMON ULLMAN, WEIZMANN:                                   

Shimon Ullman is a Professor of Computer Science at the Weizmann Institute. He is also member of the Israeli Academy of Science and the Humanities.

 

 

HBP research is organised into twelve Subprojects, each broken down into Work Packages and Tasks, with well-defined goals and milestones. Six Subprojects are building the ICT Platforms, while the other six are gathering data, clarifying theory and controlling ethical aspects. An additional Subproject manages and coordinates the HBP. Theoretical work in the HBP addresses a set of strategic issues, all related to the goal of achieving a multi-level understanding of the brain. The EITN is part of the Theory subproject (SP4).

To fulfil the EITN goals, our Sp partners are all involved in the Institute in someway.

SP4 co-leaders: Alain Destexhe (CNRS) and Wulfram Gerstner (EPFL).

SP4 Objective

“To produce simplified models of complex brain structures and dynamics; rules linking learning and memory to synaptic plasticity; large-scale models creating a bridge between ‘high-level’ behavioural and imaging data; and mathematical descriptions of neural computation at different levels of brain organisation.”

More information about the last Human Brain Project Summit 2015: Into the future, a Public Lecture by Prof. Idan Segev to Queen Sofia of Spain and HPB participants.

 

SGA2
SP4 workpackages details

April 2018 - March 2020

WP4.1 Bridging Scales - Leader: Alain Destexhe (CNRS)

  • T4.1.1 Simplified dendritic models. Leader: Idan Segev (HUJI); Participants: Alain Destexhe (CNRS).
  • T4.1.2 Input-output transfer function of morphologically models. Leader : Michele Giugliano (UA) ; Participants : Idan Segev (HUJI).
  • T4.1.3 Mean-field and population models. Leader : Olivier Faugeras (INRIA) ; Participants : Alain Destexhe (CNRS), Wulfram Gerstner (EPFL), Marc de Kamps (ULEEDS) and Moritz Helias (JUELICH).
  • T4.1.4 Biophysical models of brain signals. Leader : Alain Destexhe (CNRS) ; Participants : Gaute Einevoll (NMBU)

WP4.2 Simplified spiking models of different brain areas- Leader: Markus Diesmann (JUELICH)

  • T4.2.1. Spiking mesoscale cortical models with spatial organization. Leader: Markus Diesmann (JUELICH); Participants: Viktor Jirsa (AMU).
  • T4.2.2 Network models including neuron-glia interactions. Leader: Marja-Leena Linne (TUT); Participants: André Grüning (HOST).
  • T4.2.3 Multi-area multi-layer spiking cortical models. Leader : S. van Albada.

WP4.3 Learning and Memory- Leader: Wulfram Gerstner (EPFL)

  • T4.3.1 Plasticity algorithms. Leader: Wulfram Gerstner (EPFL); Participants: Walter Senn (UBERN) and André Grüning (HOST).
  • T4.3.2 Learning in networks of neurons. Leader: Walter Senn (UBERN); Participants: Wulfram Gerstner (EPFL) and Misha Tsodyks (WEIZMANN).
  • T4.3.3 Functional plasticity for multi-compartment neurons in a multi-scale simulation framework. Leader: André Grüning (HOST); Participants: Walter Senn (UBERN).
  • T.4.3.4 Learning and inference during goal-directed spatial navigation. Leader : Giovanni Pezzulo (CNR).

WP4.4 Models of Brain activity and function- Leader: Gustavo Deco (UPF)

  • T4.4.1 Models of spontaneous brain activity. Leader: Gustavo Deco (UPF); Participants: Alain Destexhe (CNRS).
  • T4.4.2 Models of low-level vision. Leader : Olivier Marre (UPMC) ; Participants : Shimon Ullman (WEIZMANN).
  • T4.4.3 Models of motor control. Leader : Jeanette Hellgren Kotaleski (KTH).
  • T4.4.4 Models of spatial memory. Leader : Neil Burgess (UCL).
  • T4.4.5 Models of sensorimotor integration. Leader : Gustavo Deco (UPF).
  • T4.4.6 Models of goal-directed spatial navigation. Leader : G.Pezzulo (CNR).

WP4.5 Linking Model Activity and Function to Experimental data- Leader: Viktor Jirsa (AMU)

  • T4.5.1 Comparing activity dynamics of models and living brains. Leader: Sonja Grün (JUELICH); Participants: Viktor Jirsa (AMU).
  • T4.5.2 Mouse brain function from structure. Leader: Viktor Jirsa (AMU); Participants: Sonja Grün (JUELICH).
  • T4.5.3 Human brain function from structure. Leader: Viktor Jirsa (AMU); Participants: Gustavo Deco (UPF)
  • T4.5.4 Model-based analysis of goal-directed navigation. Leader: Giovanni Pezzulo (CNR).

WP4.6 The European Institute for Theoretical Neuroscience - Leader: Alain Destexhe (CNRS)

  • T4.5.1 EITN coordination. Leader: Alain Destexhe (CNRS).
  • T4.5.2 EITN programme. Leader: Alain Destexhe (CNRS).

WP4.7 Theoretical Neuroscience: Scientific coordination - Leader: Alain Destexhe (CNRS)

  • T4.6.1 Scientific coordination. Leader: Alain Destexhe (CNRS). SP Manager : Tom Messier ;                                               SP Deputies: Viktor Jirsa (AMU) and Marja-Leena Linne (TUT).

 

SGA1
SP4 workpackages details

April 2016 - March 2018

WP4.1 Bridging Scales - Leader: Alain Destexhe (CNRS)

  • T4.1.1 Simplified dendritic neuron models. Leader: Idan Segev (HUJI); Participants: Alain Destexhe (CNRS).
  • T4.1.2 Input-output transfer functions of morphologically detailed neuronal models. Leader : Michele Giugliano (UA) ; Participants : Idan Segev (HUJI).
  • T4.1.3 Mean-field and population models. Leader : Olivier Faugeras (INRIA) ; Participants : Alain Destexhe (CNRS) and Marc de Kamps (ULEEDS).
  • T4.1.4 Models of brain signals. Leader : Alain Destexhe (CNRS) ; Participants : Gaute Einevoll (NMBU)

WP4.2 Generic Models of Brain Circuits- Leader: Markus Diesmann (JUELICH)

  • T4.2.1 Simplified network models of different cortical areas. Leader: Markus Diesmann (JUELICH); Participants: Viktor Jirsa (AMU).
  • T4.2.2 Network models including neuron-glia interactions. Leader: Marja-Leena Linne (TUT); Participants: André Grüning (SURREY).

WP4.3 Learning and Memory- Leader: Wulfram Gerstner (EPFL)

  • T4.3.1 Plasticity algorithms. Leader: Wulfram Gerstner (EPFL); Participants: Walter Senn (UBERN).
  • T4.3.2 Learning in networks of neurons. Leader: Walter Senn (UBERN); Participants: Wulfram Gerstner (EPFL) and Misha Tsodyks (WEIZMANN).
  • T4.3.3 Functional plasticity for multi-compartment neurons. Leader: André Grüning (SURREY); Participants: Walter Senn (UBERN) and Marja-Leena Linne (TUT).

WP4.4 Models of Cognitive Processes- Leader: Gustavo Deco (UPF)

  • T4.4.1 Models of spontaneous brain activity. Leader: Gustavo Deco (UPF); Participants: Alain Destexhe (CNRS).
  • T4.4.2 Models of low-level vision. Leader : Olivier Marre (UPMC) ; Participants : Shimon Ullman (WEIZMANN).
  • T4.4.3 Models of motor control. Leader : Jeanette Hellgren Kotaleski (KTH).
  • T4.4.4 Models of spatial navigation. Leader : Neil Burgess (UCL).
  • T4.4.5 Development of a large-scale, mean field model on sensorimotor integration. Leader : Gustavo Deco (UPF).

WP4.5 Linking Model Activity and Function to Experimental data- Leader: Sonja Grün (JUELICH)

  • T4.5.1 Comparing models with mouse and human brains. Leader: Sonja Grün (JUELICH); Participants: Viktor Jirsa (AMU).
  • T4.5.2 Mouse brain function from structure. Leader: Viktor Jirsa (AMU); Participants: Gustavo Deco (UPF).

WP4.6 The European Institute for Theoretical Neuroscience - Leader: Alain Destexhe (CNRS)

  • T4.5.1 EITN coordination. Leader: Alain Destexhe (CNRS).
  • T4.5.2 EITN programme. Leader: Alain Destexhe (CNRS).

WP4.7 Theoretical Neuroscience: Scientific coordination - Leader: Alain Destexhe (CNRS)

  • T4.6.1 Scientific coordination. Leader: Alain Destexhe (CNRS).