Neurons - these aesthetic elementary microchips of the brain - and their synapses change as they receive and transmit information. This enables us to learn and adapt to the complicated environment around us, have new ideas and create new worlds. A deep understanding of a computing and learning system such as our brain requires understanding the computational and plastic functions of its basic components - the nerve cells, their synapses and the specific networks that they form. This is indeed our challenge!
Synaptic learning and plasticity rules in nonlinear dendritic trees (the "biophysical perceptron") - New
Design principles and plasticity rules for synaptic inhibition in nonlinear dendrites (New)
The role of nonlinear dendrites in processing of visual input (New)
Processing of visual and somatosensory information in realistic large scale cortical networks (with Henry Markram)
Applying "network science" to uncover innate structures (small world, motifs, hubs) in cortical circuits and understanding their role in learning - New
Modeling cortical neurons from Human neocortex following brain operations (with H. Mansvelder and C. de Kock, Amsterdam and J. DeFelipe, Madrid) - New
Signal processing in Olivary networks connected via gap junctions (with Y. Yarom) - New
Our Research is presently supported by generous grants from the Human Brain Project, the Gatsby Charitable Foundation,the ISF and by the Blue Brain Project
Our Research is presently supported by generous grants from the
Human Brain Project,
Gatsby Charitable Foundation,
the ISF and by the Blue Brain Project.
Idan Segev Co-edited two books by MIT press:
Methods in Neuronal Modeling (with C. Koch) and
The Theoretical Foundation of Dendritic Function (with J. Rinzel and G. Shepherd).
Augmenting Cognition Augmenting Cognition (Editors Idan Segev and Henry Markram). EPFL press
Brain And Art (Editors Idan Segev, Luis M. Martinez and Robert J. Zatorre) - Frontiers Research Topic