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

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

Research output: Contribution to conferencePaper

2 Scopus citations

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 languageEnglish (US)
Pages1921-1922
Number of pages2
StatePublished - Dec 1 1988
EventProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society - New Orleans, LA, USA
Duration: Nov 4 1988Nov 7 1988

Other

OtherProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CityNew Orleans, LA, USA
Period11/4/8811/7/88

ASJC Scopus subject areas

  • Engineering(all)

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    Bower, J. M., Wilson, M., Banik, J., Nelson, M., & Rasnow, B. (1988). New technical approaches to monitoring and interpreting the dynamics of real neural networks. 1921-1922. Paper presented at Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, New Orleans, LA, USA, .