Support Options

Submit a Support Ticket

Home Tools [Illinois]: Avoidance Learn Simulation with 'Call' Neuron About

[Illinois]: Avoidance Learn Simulation with 'Call' Neuron

By AbderRahman N Sobh1, NanoBio Node1, Jessica S Johnson1

1. University of Illinois at Urbana-Champaign

This script simulates avoidance learning as a reinforcement learning with two upper motoneurons (sumo and fumo) and one "call" neuron.

Launch Tool

You must login before you can run this tool.

Version 1.0d - published on 06 Aug 2014

doi:10.4231/D3DF6K42D cite this

Open source: license | download

View All Supporting Documents

    Default Inputs



Published on


From ''Tutorial on Neural Systems Modeling'', Chapter 7, pg. 242: In this section we will extend the avoidance learning simulation by adding a schema CALL that can increase the proportion of exploration relative to exploitation. The extended model is depicted [!in the simulation tool]. Since we are inter­ested here in simulating avoidance conditioning, we will leave out the details concerning how a schema such as CALL could actually implement increased exploration in a neural system. Instead, we will simply use the response of CALL to augment the probability of exploration.


Tutorial on Neural Systems Modeling, Copyright 2010 Sinauer Associates Inc. Author: Thomas J. Anastasio

Sponsored by

NanoBio Node, University of Illinois Champaign-Urbana

Cite this work

Researchers should cite this work as follows:

  • AbderRahman N Sobh; NanoBio Node; Jessica S Johnson (2014), "[Illinois]: Avoidance Learn Simulation with 'Call' Neuron," (DOI: 10.4231/D3DF6K42D).

    BibTex | EndNote

Tags, a resource for nanoscience and nanotechnology, is supported by the National Science Foundation and other funding agencies. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.