
MAOZ SHAMIR
What is computational neuroscience?
What is computational neuroscience?
With the vast advancement of empirical techniques for recording, imaging and manipulating neural responses, the quantitative aspect of brain research is becoming increasingly more important. Theoretical physics offers a wide range of theoretical tools and concepts that were successfully applied in other fields of natural sciences.
Two central challenges
In my lab we apply tools and concepts from: Statistical Mechanics, Nonlinear Dynamics, Theory of Disordered Systems and Information Theory to the investigation of the central nervous system. Specifically, my lab focuses on two central challenges: the neural code and neural learning theory.
In search for the neural code
How is information about external sensory stimuli or planned motor commands represented by the activity of large nerve cell population? How is this information transmitted and then read-out by downstream population along the information processing pathway in the brain?
Theory of learning and plasticity in the brain
How do the biophysical parameters that characterize neuronal plasticity affect the stochastic learning dynamics of the network, and what are their computational implications?
Join us
If you are in intrigued and even fascinated by the brain, if you would like to learn how to apply theoretical methods from mathematics, physics, and information theory to study fundamental question about the brain – send me an email and hear about these possibilities. Positions are open for bright students and post-docs with strong theoretical mathematical - physical - engineering background to join research projects studying fundamental scientific questions about the brain. Please contact me at: shmaoz at bgu dot ac dot il.
Email me
Ben-Gurion University of the Negev to honor Katharina von Schnurbein
Lightning and Thunder


