A Preliminary Neural Model for Movement Direction Recognition Based on Biologically Plausible Plasticity Rules

Authors:
Eduardo A. Kinto;Emílio Moral Hernandez;Alexis Marcano;Javier Ropero Peláez
Affiliations:
Laboratório de Sistemas Integráveis. São Paulo University,;Laboratório de Sistemas Integráveis. São Paulo University,;Group for Automation and Soft Computing, Technical Univ. of Madrid,;Laboratório de Microeletrônica. São Paulo University,
Venue:
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
Year:
2007

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Abstract

In this work we implement a neural architecture for recognizing the direction of movement using neural properties that are consistent with biological findings like intrinsic plasticity and synaptic metaplasticity. The network architecture has two memory layers and two competitive layers. This un-supervised neural network is able to identify the direction of movement of an object, being a promising network for object tracking, hand-written and speech recognition.