[Illinois] MCB 493 Lecture 1: Vectors, Matrices, and Basic Neural Computations

By Thomas J. Anastasio

Department of Molecular and Integrative Physiology , University of Illinois at Urbana-Champaign, Urbana, IL

Published on

Abstract

Using mathematical and computational methods to simulate many aspects of neural systems function

1.1 Neural systems, Neural Networks, and Brain Function

1.2 Using MATLAB: The Matrix Laboratory Programming Environment

1.3 Imitating the Solution by Gauss to the Busywork Problem

1.4 Operation and Habitation of the Gill-Withdrawal Reflex of Aplysia

1.5 The Dynamics of a Single Neural Unit with Positive Feedback

1.6 Neural Networks: Neural Systems with Multiple Interconnected Units

Cite this work

Researchers should cite this work as follows:

  • Thomas J. Anastasio (2013), "[Illinois] MCB 493 Lecture 1: Vectors, Matrices, and Basic Neural Computations," http://nanohub.org/resources/16716.

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Time

Location

University of Illinois at Urbana-Champaign, Urbana, IL

Submitter

NanoBio Node, Obaid Sarvana, George Daley

University of Illinois at Urbana-Champaign

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