- Psych East 3834
F. Gregory Ashby (firstname.lastname@example.org)
Dynamical Neuroscience Seminar
Dr. Eugene M. Izhikevich (Brain Corporation, San Diego, CA)
Most communication in the brain is via spikes. While we understand the spike-generation mechanism of individual neurons, we fail to appreciate the spike-timing code and its role in neural computations. The speaker starts with simple models of neuronal spiking and bursting, describes small neuronal circuits that learn spike-timing code via spike-timing dependent plasticity (STDP), and finishes with biologically detailed and anatomically accurate large-scale brain models.
Dr. Eugene M. Izhikevich is a computational neuroscientist known for his contributions into the theory of nonlinear dynamical systems and spiking networks. He pioneered a novel approach to spiking neurons that combined biologically plausibility and implementation efficiency, which allowed him in 2005 to simulate the largest thalamo-cortical model having the size of the human brain, i.e., the same number of neurons and synapses as in human brain. Presently, Dr. Izhikevich is the Chief Executive Officer of Brain Corporation, San Diego, CA, which he founded in 2009 to build a biologically detailed spiking model of the visual system and motor control (http://www.braincorporation.com). Before that, he was with The Neurosciences Institute in San Diego, where he founded Scholarpedia - the peer-reviewed open-access encyclopedia (http://www.scholarpedia.org). Eugene is the editor-in-chief of Encyclopedia of Computational Neuroscience and Encyclopedia of Dynamical Systems. Academic webpage is at http://www.izhikevich.org.