Computation & Dynamics

Circuit/Network Dynamics

Use nonlinear dynamical analysis to study the behavior exhibited by neural circuits/networks.

Real-Time Neuronal Modeling

Develop and use real-time computational hardware to study neuron and network computation.

Overview

We study the nonlinear, dynamic properties of neurons and neuron populations. Our techniques include mathematical modeling, computer simulation, and real-time hardware development

Goals

understand the input / output properties of neurons and networks
understand the relationships between underlying physical mechanisms and the activities that they induce
understand the importance of nonlinearity and of dynamics over many orders of temporal magnitude

Professors with research in this area:

Butera, DeWeerth, LaPlaca, Lee, Potter, Ting