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Adaptive Proactive Inhibitory Control for Embedded Real-time Applications

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Yang, Shufan, McGinnity, TM and Wong-Lin, KongFatt (2012) Adaptive Proactive Inhibitory Control for Embedded Real-time Applications. Frontiers in Neuroengineering, 5 . [Journal article]

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URL: http://www.frontiersin.org/Neuroengineering/10.3389/fneng.2012.00010/abstract

DOI: 10.3389/fneng.2012.00010

Abstract

Psychologists have studied the inhibitory control of voluntary movement for many years. In particular, the countermanding of an impending action has been extensively studied. In this work, we propose a neural mechanism for adaptive inhibitory control in a firing-rate type model based on current findings in animal electrophysiological and human psychophysical experiments. We then implement this model on a field-programmable gate array (FPGA) prototyping system, using dedicated real-time hardware circuitry. Our results show that the FPGA-based implementation can run in real time while achieving behavioural performance qualitatively suggestive of the animal experiments. Implementing such biological inhibitory control in an embedded device can lead to the development of control systems that may be used in more realistic cognitive robotics or in neural prosthetic systems aiding human movement control.

Item Type:Journal article
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:22339
Deposited By:Dr Kongfatt Wong-Lin
Deposited On:25 May 2012 11:10
Last Modified:25 May 2012 11:10

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