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Adaptive Proactive Inhibitory Control for Embedded Real-Time Applications
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 find...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Research Foundation
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3371629/ https://www.ncbi.nlm.nih.gov/pubmed/22701420 http://dx.doi.org/10.3389/fneng.2012.00010 |
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author | Yang, Shufan McGinnity, T. Martin Wong-Lin, KongFatt |
author_facet | Yang, Shufan McGinnity, T. Martin Wong-Lin, KongFatt |
author_sort | Yang, Shufan |
collection | PubMed |
description | 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 behavioral 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. |
format | Online Article Text |
id | pubmed-3371629 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
spelling | pubmed-33716292012-06-14 Adaptive Proactive Inhibitory Control for Embedded Real-Time Applications Yang, Shufan McGinnity, T. Martin Wong-Lin, KongFatt Front Neuroeng Neuroengineering 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 behavioral 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. Frontiers Research Foundation 2012-06-11 /pmc/articles/PMC3371629/ /pubmed/22701420 http://dx.doi.org/10.3389/fneng.2012.00010 Text en Copyright © 2012 Yang, McGinnity and Wong-Lin. http://www.frontiersin.org/licenseagreement This is an open-access article distributed under the terms of the Creative Commons Attribution Non Commercial License, which permits non-commercial use, distribution, and reproduction in other forums, provided the original authors and source are credited. |
spellingShingle | Neuroengineering Yang, Shufan McGinnity, T. Martin Wong-Lin, KongFatt Adaptive Proactive Inhibitory Control for Embedded Real-Time Applications |
title | Adaptive Proactive Inhibitory Control for Embedded Real-Time Applications |
title_full | Adaptive Proactive Inhibitory Control for Embedded Real-Time Applications |
title_fullStr | Adaptive Proactive Inhibitory Control for Embedded Real-Time Applications |
title_full_unstemmed | Adaptive Proactive Inhibitory Control for Embedded Real-Time Applications |
title_short | Adaptive Proactive Inhibitory Control for Embedded Real-Time Applications |
title_sort | adaptive proactive inhibitory control for embedded real-time applications |
topic | Neuroengineering |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3371629/ https://www.ncbi.nlm.nih.gov/pubmed/22701420 http://dx.doi.org/10.3389/fneng.2012.00010 |
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