University of Delaware Neuromorphic Systems Laboratory

Directionally Selective Artificial Dendritic Trees

David P. M. Northmore and John G. Elias
Neuroscience Program &
Department of Electrical Engineering
University of Delaware
Newark, DE. 19716

ABSTRACT

We continue our exploration of the capabilities of artificial dendritic trees by using them to construct units that signal the speed and direction of visual targets in space. By applying three different types of synaptic behavior, we demonstrate that it is relatively easy to obtain dendritic tree responses that differentiate direction of movement and encode target speed.

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