Speed estimation with propagation maps

Authors:
C. Rasche
Affiliations:
Department of Psychology, University of Notre Dame, Notre Dame, IN, USA
Venue:
Neurocomputing
Year:
2006

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Abstract

We propose a neural architecture that estimates the speed of motion. The basis is a two-dimensional map made of locally connected integrate-and-fire neurons, that propagates and integrates synaptic input in a dendritic-cable-like manner, but irrespective of any direction. The propagation dynamics of such a map are tuned to filter preferred speeds: slow map dynamics filter slow speeds, fast map dynamics filter fast speeds. The propagation map is potentially simple enough for an analog hardware approach.