Representing and Combining Dynamics in Biologically Plausible Neurons

Tech Report, 2017

Sean Aubin

Abstract

Conceptors, although biologically implausible, admirably capture high dimensional dynamical patterns. This report contains a concise overview of Conceptors and describes how the same dynamical pattern approximation can be achieved, with limitations, in a biologically plausible manner using the Neural Engineering Framework. Two methods are compared to Conceptors with this goal in mind: Rhythmic Dynamic Movement Primitives, both with and without point attractors. In terms of representing a dynamic signal, Dynamic Movement Primitives implemented directly performed well for low-frequency signals, while Conceptors performed well for high-frequency sinusoidal signals. In terms of blending between dynamic signals, Conceptors are distinct from Dynamic Movement Primitives, but this usefulness of this is unclear.

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CTN Tech Report

Month
01
Institution
Centre for Theoretical Neuroscience
Address
Waterloo, ON
Issn
CTN-TR-20170102-01
Supplementary
https://github.com/Seanny123/nef-conceptors

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