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Experiencing and Processing Time with Neural Networks

Authors:
Michail Maniadakis
Panos Trahanias

Keywords: time perception, temporal cognition, brain inspired cognition, robotic system

Abstract:
The sense of time is directly involved in most of the daily activities of humans and animals. However, the cognitive mechanisms that support experiencing and processing time remain unknown, with the assumption of the clock-like tick accumulation dominating the field. The present work aims to explore whether temporal cognition may be developed without the use of clock-like mechanisms. We evolve ordinary neural network structures that (i) monitor the length of two time intervals, (ii) compare their durations and (iii) express different behaviors depending on whether the first or the second duration was larger. We study the mechanisms self organized internally in the network and we compare them with leading hypothesis in brain science, showing that tick accumulation may not be a prerequisite for experiencing and processing time.

Pages: 145 to 150

Copyright: Copyright (c) IARIA, 2012

Publication date: July 22, 2012

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-61208-218-9

Location: Nice, France

Dates: from July 22, 2012 to July 27, 2012