[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

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Researchers should cite this work as follows:

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

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Location

University of Illinois at Urbana-Champaign, Urbana, IL

Submitter

NanoBio Node, Obaid Sarvana, George Daley

University of Illinois at Urbana-Champaign

Tags

  1. circuits
  2. Illinois
  3. NanoBio Node at Illinois
  4. Neural Systems Modeling
  5. neuroscience
  6. Recurrent
[Illinois] MCB 493 Lecture 2: Chapter 2
  • Figure 2.1 A single-unit leaky integrator 1. Figure 2.1 A single-unit leaky… 0
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  • Figure 2.2 Two leaky integrators in series 2. Figure 2.2 Two leaky integrato… 690.87033936146463
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  • Figure 2.3 The pulse responses of two units, each with positive feedback, in series 3. Figure 2.3 The pulse responses… 973.02014958696134
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  • Figure 2.4 The response of a semicircular canal primary afferent, and of the overall vestibulo-ocular reflex (VOR), to a step change in head angular velocity 4. Figure 2.4 The response of a s… 1434.1788903773165
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  • Figure 2.5 The response of a vestibular nucleus neuron, and of the overall vestibulo-ocular reflex (VOR), to a step change in head angular velocity 5. Figure 2.5 The response of a v… 2004.6768810002234
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  • Figure 2.6 Two models of velocity storage in the primate vestibulo-ocular reflex (VOR) 6. Figure 2.6 Two models of veloc… 2059.4704733199374
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  • Figure 2.7 The two-unit network configured to implement the parallel-pathway model of velocity storage in the primate VOR 7. Figure 2.7 The two-unit networ… 2105.2144451886584
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  • Figure 2.8 A simulation of velocity storage in the primate VOR using the parallel-pathway model 8. Figure 2.8 A simulation of vel… 2206.619781201161
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  • Figure 2.9 The two-unit network configured to implement the feedback model of velocity storage in the primate VOR 9. Figure 2.9 The two-unit networ… 2321.16566197812
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  • Figure 2.10 A simulation of velocity storage in the primate VOR using the positive-feedback model 10. Figure 2.10 A simulation of ve… 2379.554308997544
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  • Figure 2.11 A simulation of velocity leakage in the pigeon VOR using the negative-feedback model 11. Figure 2.11 A simulation of ve… 2474.26540522438
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  • Figure 2.12 Activity of two abducens motoneurons in a monkey during horizontal eye movements 12. Figure 2.12 Activity of two ab… 2569.9380959107284
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  • Figure 2.13 The two-unit network configured to implement the two-unit model of the oculomotor neural integrator 13. Figure 2.13 The two-unit netwo… 2569.9380959107284
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  • Figure 2.14 The responses of the units in the two-unit model of the oculomotor neural integrator to a push–pull pulse 14. Figure 2.14 The responses of t… 2569.9380959107284
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  • Figure 2.15 The lobster stomatogastric central pattern generator 15. Figure 2.15 The lobster stomat… 2569.9380959107284
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  • Figure 2.16 Wilson's model of the locust-flight central pattern generator (CPG) implemented using leaky integrators 16. Figure 2.16 Wilson's model of … 2569.9380959107284
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  • Figure 2.17 The responses of units representing motoneurons in the linear version of Wilson's model of the locust-flight central pattern generator (CPG) 17. Figure 2.17 The responses of u… 2569.9380959107284
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