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[Illinois]: Velocity storage and leakage

By Lisa Sproat

University of Illinois at Urbana-Champaign

Implements the parallel-pathway and positive-feedback models of velocity storage, and the negative-feedback model of velocity leakage

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Version 1.3a - published on 19 Aug 2013

doi:10.4231/D31R6N113 cite this

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Abstract

This tool implements the parallel-pathway and positive-feedback models of velocity storage, and the negative-feedback model of velocity leakage. Descriptions of the models are also in the tool.


FIGURE 2.6 shows two models of velocity storage in the primate vestibulo-ocular reflex (VOR) (A) In the parallel-pathway model, vestibular nucleus neurons (VN) pass the vestibular afferent (VA) signal to the motoneuron (MN) either directly or indirectly, through a leaky integrator. (8) In the feedback model, the vestibular nucleus

neuron that receives the vestibular afferent signal sends its output to the motoneuron

and also feeds back onto itself through a leaky integrator. Leaky integrators are

drawn as boxes to distinguish them from the other neural elements drawn as circles.

(Note that in our simulations leaky integrators are just like other neural units except

that they send excitatory, recurrent connections to themselves. Raphan and Robinson

used different methods to model leaky integrators.) (A after Raphan et aJ. 1979;

B after Robinson 1981.)


The two-unit network configured to implement the parallel-pathway model of velocity storage in the primate VOR: Input x connects to y1 and y2 with weights v1 and v2 , and unit y2 connects to unit y1 and to itself with weights w12 and w22 , respectively.

Figure 2.9 shows the two-unit network configured to implement the feedback model of velocity storage in the primate VOR. Input x connects to unit y1 with weight v1, unit y1 connects to y2 with weight w21, and unit y2 connects to y1 and to itself with weights w12 and w22, respectively.

This tool is built from the MATLAB scripts for Tutorial on Neural Systems Modeling by Thomas J. Anastasio.

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References

Anastasio, T. J. (2009). Tutorial on neural systems modeling. Sinauer Associates, Incorporated.

Cite this work

Researchers should cite this work as follows:

  • Lisa Sproat (2013), "[Illinois]: Velocity storage and leakage," http://nanohub.org/resources/velstoreleak. (DOI: 10.4231/D31R6N113).

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