EBME 478. Computational Neuroscience
Description
Computational properties of nervous systems. Modeling
and simulation of neurobiological systems. Cable
theory. Passive and active compartmental modeling.
Numerical integration methods. Simulation tools.
Models of neuronal development, plasticity, and learning.
Models of small neural circuits. Neuronal dynamics.
Models of brain systems. Relationship to simplified
neural networks.
Course Goals
The goal of this course is to teach students about
the biological properties of nerve cells, their interconnections,
and their function in biological neural networks
through the presentation of the relevant biological
information and of increasingly complex and realistic
models of neurons.
By the end of the course, students are able to program
and manipulate a variety of neural models, as well
as to analyze these models using concepts from dynamical
systems theory.
Prerequisites
Three yeras of secondary school mathematics.
Class/laboratory Schedule
Two 75 minute lectures per week.
Typical Class Size
30
Semesters and Years Offered
Offered spring every third year.
Computer Usage
All assignments require students to implement models
that can be simulated by computer. Students may use
programming languages or computing packages with
which they are familiar. Students have implemented
models using C, C++, Java, Mathematica, and MATLAB.
Course Objectives
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