A neuromorphic architecture for object recognition and motion anticipation using burst-STDP.

A neuromorphic architecture for object recognition and motion anticipation using burst-STDP.

In this work we investigate the possibilities offered by a minimal framework of artificial spiking neurons to be deployed in silico. Here we introduce a hierarchical network architecture of spiking neurons which learns to recognize moving objects in a visual environment and determine the correct mot...

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Bibliographic Details
Main Authors: Andrew Nere, Umberto Olcese, David Balduzzi, Giulio Tononi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3352850?pdf=render

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