A cluster of workstations for on-line analyses of neurophysiological data

M. Laubach, Y. Arieh, A. Luczak, J. Oh, Y. Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Recent advances in the fields of neuroscience, computer science, and biomedical engineering now allow for the analysis of large-scale neurophysiological data sets to be carried out on-line and in real time. Here, we described an on-going effort in our research laboratory to build a computer system that will allow for on-line, real-time analyses of the response properties of ensembles of neurons (as many as 256) recorded in the brains of awake animals that perform behavioral tasks. A cluster of workstations allows us to carry out sequential and simultaneous analyses of neuronal signals. This new methodology can be used to change a behavioral task on-line to test real-time decoding of brain signals.

Original languageEnglish
Title of host publicationProceedings of the IEEE 29th Annual Northeast Bioengineering Conference
EditorsStanley Reisman, Richard Foulds, Bruno Mantilla
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages17-18
Number of pages2
ISBN (Electronic)0780377672
DOIs
StatePublished - 1 Jan 2003
Event29th IEEE Annual Northeast Bioengineering Conference, NEBC 2003 - Newark, United States
Duration: 22 Mar 200323 Mar 2003

Publication series

NameProceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC
Volume2003-January
ISSN (Print)1071-121X
ISSN (Electronic)2160-7001

Other

Other29th IEEE Annual Northeast Bioengineering Conference, NEBC 2003
CountryUnited States
CityNewark
Period22/03/0323/03/03

Keywords

  • Biomedical computing
  • Biomedical engineering
  • Computer science
  • Data analysis
  • Laboratories
  • Large-scale systems
  • Neuroscience
  • Performance analysis
  • Real time systems
  • Workstations

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  • Cite this

    Laubach, M., Arieh, Y., Luczak, A., Oh, J., & Xu, Y. (2003). A cluster of workstations for on-line analyses of neurophysiological data. In S. Reisman, R. Foulds, & B. Mantilla (Eds.), Proceedings of the IEEE 29th Annual Northeast Bioengineering Conference (pp. 17-18). [1215970] (Proceedings of the IEEE Annual Northeast Bioengineering Conference, NEBEC; Vol. 2003-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NEBC.2003.1215970