New technical approaches to monitoring and interpreting the dynamics of real neural networks

James M. Bower; Matthew Wilson; Jashojiban Banik; Mark Nelson; Brian Rasnow

New technical approaches to monitoring and interpreting the dynamics of real neural networks

James M. Bower, Matthew Wilson, Jashojiban Banik, Mark Nelson, Brian Rasnow

Department of Radiology

Research output: Contribution to conference › Paper › peer-review

Abstract

Understanding the functional organization of large-scale real neural networks will require the development of techniqes capable of predicting, recording, and interpreting the activities of the very large numbers of neurons that participate in their operation. This presents a considerable technical problem for systems-level neurobiologists and associated biomedical engineers. The authors describe their recent work using silicon manufacturing techniques to make multineuron in vivo recording devices, as well as the software tools developed for realistically simulating the neural networks studied.

Original language	English (US)
Pages	1921-1922
Number of pages	2
State	Published - Dec 1 1988
Event	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society - New Orleans, LA, USA Duration: Nov 4 1988 → Nov 7 1988

Other

Other	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society
City	New Orleans, LA, USA
Period	11/4/88 → 11/7/88

ASJC Scopus subject areas

Engineering(all)

Cite this

New technical approaches to monitoring and interpreting the dynamics of real neural networks. / Bower, James M.; Wilson, Matthew; Banik, Jashojiban et al.
1988. 1921-1922 Paper presented at Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, New Orleans, LA, USA.

Research output: Contribution to conference › Paper › peer-review

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abstract = "Understanding the functional organization of large-scale real neural networks will require the development of techniqes capable of predicting, recording, and interpreting the activities of the very large numbers of neurons that participate in their operation. This presents a considerable technical problem for systems-level neurobiologists and associated biomedical engineers. The authors describe their recent work using silicon manufacturing techniques to make multineuron in vivo recording devices, as well as the software tools developed for realistically simulating the neural networks studied.",

author = "Bower, {James M.} and Matthew Wilson and Jashojiban Banik and Mark Nelson and Brian Rasnow",

year = "1988",

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AU - Bower, James M.

AU - Wilson, Matthew

AU - Banik, Jashojiban

AU - Nelson, Mark

AU - Rasnow, Brian

PY - 1988/12/1

Y1 - 1988/12/1

N2 - Understanding the functional organization of large-scale real neural networks will require the development of techniqes capable of predicting, recording, and interpreting the activities of the very large numbers of neurons that participate in their operation. This presents a considerable technical problem for systems-level neurobiologists and associated biomedical engineers. The authors describe their recent work using silicon manufacturing techniques to make multineuron in vivo recording devices, as well as the software tools developed for realistically simulating the neural networks studied.

AB - Understanding the functional organization of large-scale real neural networks will require the development of techniqes capable of predicting, recording, and interpreting the activities of the very large numbers of neurons that participate in their operation. This presents a considerable technical problem for systems-level neurobiologists and associated biomedical engineers. The authors describe their recent work using silicon manufacturing techniques to make multineuron in vivo recording devices, as well as the software tools developed for realistically simulating the neural networks studied.

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M3 - Paper

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T2 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 4 November 1988 through 7 November 1988

ER -

New technical approaches to monitoring and interpreting the dynamics of real neural networks

Abstract

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ASJC Scopus subject areas

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