A cognitive neural architecture as a robot controller

Authors:
Zafeirios Fountas;Murray Shanahan
Affiliations:
Department of Computing, Imperial College London, London, UK;Department of Computing, Imperial College London, London, UK
Venue:
Living Machines'13 Proceedings of the Second international conference on Biomimetic and Biohybrid Systems
Year:
2013

Citing 2
Cited 0

A robot model of the basal ganglia: Behavior and intrinsic processing

Neural Networks
Simple model of spiking neurons

IEEE Transactions on Neural Networks

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Abstract

This work proposes a biologically plausible cognitive architecture implemented in spiking neurons, which is based on well- established models of neuronal global workspace, action selection in the basal ganglia and corticothalamic circuits and can be used to control agents in virtual or physical environments. The aim of this system is the investigation of a number of aspects of cognition using real embodied systems, such as the ability of the brain to globally access and process information concurrently, as well as the ability to simulate potential future scenarios and use these predictions to drive action selection.