article

Brain-Based Devices for the Study of Nervous Systems and the Development of Intelligent Machines

Authors:

Jeffrey L. Krichmar,

Gerald M. EdelmanAuthors Info & Claims

Artificial Life, Volume 11, Issue 1-2

Pages 63 - 78

https://doi.org/10.1162/1064546053278946

Published: 01 January 2005 Publication History

Abstract

The simultaneous study of brain function at all levels of organization is difficult to undertake with current experimental tools. Present day electrophysiology only allows the recording of at most hundreds of neurons while an animal is performing a behavioral task. Because of this limitation and the sheer complexity of the nervous system, computational modeling has become essential in developing theories of brain function. Accordingly, our group has constructed a series of brain-based devices (BBDs), that is, physical devices with simulated nervous systems that guide behavior, to serve as a heuristic for testing theories of brain function. Unlike animal models, BBDs permit analysis of activity at all levels of the nervous system as the device behaves in its environment. Although the principal focus of developing BBDs has been to test theories of brain function, this type of modeling may also provide a basis for robotic design and practical applications.

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Cited By

Kotseruba ITsotsos J(2018)40 years of cognitive architectures: core cognitive abilities and practical applicationsArtificial Intelligence Review10.1007/s10462-018-9646-y53:1(17-94)Online publication date: 28-Jul-2018
https://dl.acm.org/doi/10.1007/s10462-018-9646-y
Neymotin SChadderdon GKerr CFrancis JLytton W(2013)Reinforcement learning of two-joint virtual arm reaching in a computer model of sensorimotor cortexNeural Computation10.1162/NECO_a_0052125:12(3263-3293)Online publication date: 1-Dec-2013
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Krichmar JDutt NNageswaran JRichert MPhillips JHu AGraeb H(2011)Neuromorphic modeling abstractions and simulation of large-scale cortical networksProceedings of the International Conference on Computer-Aided Design10.5555/2132325.2132411(334-338)Online publication date: 7-Nov-2011
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cover image Artificial Life

Artificial Life Volume 11, Issue 1-2

January 2005

239 pages

ISSN:1064-5462

EISSN:1530-9185

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MIT Press

Cambridge, MA, United States

Publication History

Published: 01 January 2005

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Cited By

Kotseruba ITsotsos J(2018)40 years of cognitive architectures: core cognitive abilities and practical applicationsArtificial Intelligence Review10.1007/s10462-018-9646-y53:1(17-94)Online publication date: 28-Jul-2018
https://dl.acm.org/doi/10.1007/s10462-018-9646-y
Neymotin SChadderdon GKerr CFrancis JLytton W(2013)Reinforcement learning of two-joint virtual arm reaching in a computer model of sensorimotor cortexNeural Computation10.1162/NECO_a_0052125:12(3263-3293)Online publication date: 1-Dec-2013
https://dl.acm.org/doi/10.1162/NECO_a_00521
Krichmar JDutt NNageswaran JRichert MPhillips JHu AGraeb H(2011)Neuromorphic modeling abstractions and simulation of large-scale cortical networksProceedings of the International Conference on Computer-Aided Design10.5555/2132325.2132411(334-338)Online publication date: 7-Nov-2011
https://dl.acm.org/doi/10.5555/2132325.2132411
Mouret JDoncieux SGirard BPelikan MBranke J(2010)Importing the computational neuroscience toolbox into neuro-evolution-application to basal gangliaProceedings of the 12th annual conference on Genetic and evolutionary computation10.1145/1830483.1830592(587-594)Online publication date: 7-Jul-2010
https://dl.acm.org/doi/10.1145/1830483.1830592
Sanchez JPrincipe J(2009)Prerequesites for symbiotic brain-machine interfacesProceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics10.5555/1732323.1732620(1736-1741)Online publication date: 11-Oct-2009
https://dl.acm.org/doi/10.5555/1732323.1732620
Sendhoff BKörner ESporns O(2009)Creating Brain-Like IntelligenceCreating Brain-Like Intelligence10.1007/978-3-642-00616-6_1(1-14)Online publication date: 13-Mar-2009
https://dl.acm.org/doi/10.1007/978-3-642-00616-6_1
Wagatsuma H(2008)Cultivated microorganisms control a real robotProceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I10.5555/1813488.1813633(1087-1094)Online publication date: 25-Nov-2008
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Wagatsuma H(2008)Hybrid design principles and time constants in the construction of brain-based roboticsProceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I10.5555/1813488.1813504(119-126)Online publication date: 25-Nov-2008
https://dl.acm.org/doi/10.5555/1813488.1813504
McKinstry JSeth AEdelman GKrichmar J(2008)2008 Special IssueNeural Networks10.1016/j.neunet.2008.01.00421:4(553-561)Online publication date: 1-May-2008
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Sandini GMetta GVernon D(2007)The iCub cognitive humanoid robot50 years of artificial intelligence10.5555/1806115.1806154(358-369)Online publication date: 1-Jan-2007
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