Neuron as a reward-modulated combinatorial switch and a model of learning behavior, simulation code

Published: 1 May 2017 | Version 1 | DOI: 10.17632/zk6t7tgrx9.1
Contributor(s):

Description of this data

Computer programs that were used to generate the results quoted in Sections 3.2 and 6 of the article "Neuron as a reward-modulated combinatorial switch and a model of learning behavior", Marat M. Rvachev, Neural Networks 46 (2013) 62-74, DOI: 10.1016/j.neunet.2013.04.010 .

Experiment data files

  • Perl program that implements the subject learning to recognize apples and stones, as described in Sec 6 of the article "Neuron as a reward-modulated combinatorial switch and a model of learning behavior", Marat M. Rvachev, Neural Networks 46 (2013) 62-74

  • List of commands to reproduce results quoted in Section 6 of the article "Neuron as a reward-modulated combinatorial switch and a model of learning behavior", Marat M. Rvachev, Neural Networks 46 (2013) 62-74

  • Perl program that implements the learning system described in Section 3.2 of the article "Neuron as a reward-modulated combinatorial switch and a model of learning behavior", Marat M. Rvachev, Neural Networks 46 (2013) 62-74

Steps to reproduce

For running instructions see the source code

Related links

peer reviewed

This data is associated with the following peer reviewed publication:

Neuron as a reward-modulated combinatorial switch and a model of learning behavior

Published in: Neural Networks

Latest version

  • Version 1

    2017-05-01

    Published: 2017-05-01

    DOI: 10.17632/zk6t7tgrx9.1

    Cite this dataset

    Rvachev, Marat (2017), “Neuron as a reward-modulated combinatorial switch and a model of learning behavior, simulation code”, Mendeley Data, v1 http://dx.doi.org/10.17632/zk6t7tgrx9.1

Categories

Natural Sciences

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?

This dataset is licensed under a Creative Commons Attribution 4.0 International licence. What does this mean? You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.