written in Matlab (TM, Mathworks Inc) (and which also runs under GNU Octave which is available for free download) is described here that illustrates the operation of
neuronal networks described in several books as follows:
E.T. (2016) Cerebral Cortex: Principles of Operation. Oxford University
T. (2014) Emotion and Decision-Making Explained.
T. (2008) Memory, Attention, and Decision-Making:
Computational Neuroscience Approach. Oxford University Press.
description of the operation of the software, and suggested exercises,
are described here.
This includes Appendix 4 of Cerebral Cortex: Principles of Operation
(Rolls, 2016, Oxford University Press). The title of Appendix 4 is
'Simulation software for neuronal network models'. The software
illustrates the operation of pattern
association networks, autoassociation (attractor) networks, competitive
networks, and self-organizing maps. The same file provides background to the operation of these networks in Appendix 2 'Neuronal networks models'.
software available is as follows:
Descriptions of the
operation of these networks are also available here,
which are Appendices 1 and 2 of Memory, Attention, and Decision-Making:
A Unifying Computational Neuroscience Approach (Rolls, 2008, Oxford
send any suggested corrections or improvements to: