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

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

Research output: Contribution to conferencePaper

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
Pages17-18
Number of pages2
StatePublished - 22 Aug 2003
EventProceedings of the IEEE 29th Annual Northeast Bioengineering Conference - Newark, NJ, United States
Duration: 22 Mar 200323 Mar 2003

Other

OtherProceedings of the IEEE 29th Annual Northeast Bioengineering Conference
CountryUnited States
CityNewark, NJ
Period22/03/0323/03/03

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Keywords

  • Brain-Machine Interface
  • Cluster computing
  • Data mining
  • Neurophysiology

Cite this

Laubach, M., Arieh, Y., Luczak, A., Oh, J., & Xu, Y. (2003). A cluster of workstations for on-line analyses of neurophysiological data. 17-18. Paper presented at Proceedings of the IEEE 29th Annual Northeast Bioengineering Conference, Newark, NJ, United States.