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[Illinois] MCB 493 Lecture 2: Recurrent Connections and Simple Neural Circuits

By Thomas J. Anastasio

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

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Abstract

Networks with recurrent connections, forming circuits, and containing only a few neural units can shape signals in time, produce oscillations, and simulate certain forms of low-level motor control.

2.1 The Dynamics of Two Neural Units with Feedback in Series

2.2 Signal Processing in the Vestibulo-Ocular Reflex (VOR)

2.3 The Parallel-Pathway Model of Velocity Storage in Primate VOR

2.4 The Positive-Feedback Model of Velocity Storage in the Primate VOR

2.5 The Negative-Feedback Model of Velocity Leakage in the Pigeon VOR

2.6 Oculomotor Neural Integration via Reciprocal Inhibition

2.7 Simulating the Insect-Flight Central Pattern Generator

Submitter

NanoBio Node, Obaid Sarvana, George Daley

University of Illinois at Urbana-Champaign

Cite this work

Researchers should cite this work as follows:

  • Thomas J. Anastasio (2013), "[Illinois] MCB 493 Lecture 2: Recurrent Connections and Simple Neural Circuits," http://nanohub.org/resources/16717.

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University of Illinois at Urbana-Champaign, Urbana, IL

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