Basic Information
Developing a Systems-level Mathematical Approach to The Single Neuron As a Prototype of Complex Biological Systems. Two Main Mathematical Persectives, Will Be Emphasized# Nonlinear Dyanmical Systems And Random Processes in Continuous Time. Main Topics# Introduction to The Biophysics of Neurons, Axons and Dendrites and Their Analyais As Input-output Systems in The Engineering Sense. The Neuron# Basic Properties of The Membrane and Its Chemical and Electrical Properties - Electrodiffusion and The Resting Potential. The Propagation of Signals Along Passive Cables and Cell to Cell Communication Through Chemical Synapses. The Hodgkin-huxley Model For Cell Excitbability, and Simplified Mathematical Models Allowing A Detailed Analysis of Excitability. Stochastic Elements in Neurons And Synapses.
Faculty: Electrical and Computer Engineering
|Undergraduate Studies
|Graduate Studies
Parallel course
Course with no extra credit
56387
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