Alain Destexhe is Director of Research at CNRS, Adjunct Director of NeuroSpin and Director of the European Institute for Theoretical Neurosciences in Paris, France. His research activity in computational neuroscience is at the interface between physics (dynamic systems) and neuroscience (electrophysiology). Current research projects include the study of stochastic activity of the cerebral cortex, the study of collective dynamics of neural networks and field potentials, and the design of methods at the interface with electrophysiology.
Christopher Summerfield is Professor of Cognitive Neuroscience at the University of Oxford, UK. His work is concerned with understanding how humans learn and make decisions, by studying learning in adults using computer-based tasks. He is interested in how humans acquire new concepts or patterns in data, and how they use this information to make decisions in novel settings. For this, his team uses a combination of computational models, including deep neural networks, and noninvasive brain recording methods such as fMRI and EEG.
Cyriel Pennartz is Professor of Cognitive and Systems Neuroscience at the Swammerdam Institute for Life Sciences and the University of Amsterdam, the Netherlands. His research is focused on memory, motivation, circadian rhythms, perception and consciousness. His group uses a multidisciplinary combination of techniques to understand the relationships between distributed neural activity and cognition, including in vivo electrophysiology and optical imaging, animal behavior and computational modelling.
David Cox is the John L. Loeb Associate Professor of the Natural Sciences and of Engineering and Applied Sciences at Harvard University in the US. His lab seeks to understand the computational underpinnings of object recognition through a concerted effort on the study of biological visual perception and artificial models of vision. He is also passionate about the development of novel neurotechnologies to improve vision and brain research.
Iris Groen is a MacGillavry Fellow and Assistant Professor at the Institute for Informatics of the University of Amsterdam, the Netherlands. She performs interdisciplinary research at the interface of computer vision and cognitive neuroscience, aimed at understanding naturalistic perception in the human brain. To this end she uses computational models of vision to predict human perception and brain activity measured with human brain imaging techniques such as fMRI, EEG and ECoG.
Jorge Mejias is Assistant Professor of computational neuroscience at the University of Amsterdam in the Netherlands. He also serves as external faculty at the Carlos I Institute of Theoretical Physics in Spain and the European Institute for Theoretical Neuroscience in Paris, France. His team at Amsterdam conducts theoretical and computational research on the mechanistical principles of perception and memory, with a particular focus on modeling brain networks as a multiscale systems.
Lucia Melloni is Professor and Group Leader at the Max Planck Institute for Empirical Aesthetics at Frankfurt am Main, Germany. Her lab is broadly interested in understanding the neural underpinnings of how we see (perception), how and why we experience what we see (consciousness) and how those experiences get imprinted in our brain (learning and memory) – as well as the interplay between these processes. She uses multiple methods to get at those questions, ranging from electrophysiological and neuroimaging methods over behavioral techniques to online surveys.
Matthew Larkum is Professor of Neuroscience at the Humboldt University in Berlin, Germany. He also heads a neuroscience laboratory as part of the NeuroCure Cluster of Excellence on the Charité University campus in Berlin. His work focuses on the processing of feedforward and feedback information in the cortex, and particularly, on the contribution of active dendritic properties to the computational power of neocortical pyramidal neurons. His current focus is on examining the hypothesis that both the cellular properties and architecture of the cortex are tightly coupled, suggesting a powerful operating principle of cortex.
Sander Bohte is Senior Researcher at the Machine Learning Group of the Center for Mathematics and Informatics, and Professor at the Swammerdam Institute for Life Sciences of the University of Amsterdam and at the Faculty of Science and Engineering of the University of Groningen, the Netherlands. Prof. Bohte’s team is interested in the study of bio-inspired neural network models with a particular focus on the temporal dimension of neural computations, including learning in networks of spiking neurons, cognitive functions such as decision making, and deep reinforcement learning methods.
Walter Senn is Professor for Computational Neuroscience at the Department of Physiology, University of Bern. He studied Mathematics, Physics and Russian at the University of Bern, with a Master in Mathematics and a PhD with specialty in differential geometry and calculus of variation (1993). During his PhD he further studied dynamical systems at Lomonossov University in Moscow, and he got a degree as a high school teacher from University of Zurich. Before joining the Department of Physiology (1999), he was at the Department of Computer Science and Applied Mathematics at University of Bern. During his postdoc time he was at the Hebrew University, Jerusalem (Prof. I. Segev), and the Center for Neural Sciences, New York University (Prof. J. Rinzel). Using mathematical models of synapses, neurons and networks, he investigates how cognitive phenomena such as perception, learning and memory can emerge from neuronal structures.
Wolf Singer is Emeritus Professor of Neuroscience at the Max Planck Institute for Brain Research and the Ernst-Strungmann Institute for Neuroscience in Frankfurt am Main, Germany. His research aim is to elucidate the neuronal processes of higher cognitive performance, such as in the case of visual perception, in memory, or in other ways of cognition. Prof. Singer is internationally known for his research and reflections on the physiological basis of attention and identification procedures, and is widely recognized and a leader in the field of cognitive neurosci