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

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

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

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

Psychology

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

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 language	English
Pages	17-18
Number of pages	2
State	Published - 22 Aug 2003
Event	Proceedings of the IEEE 29th Annual Northeast Bioengineering Conference - Newark, NJ, United States Duration: 22 Mar 2003 → 23 Mar 2003

Other

Other	Proceedings of the IEEE 29th Annual Northeast Bioengineering Conference
Country	United States
City	Newark, NJ
Period	22/03/03 → 23/03/03

Keywords

Brain-Machine Interface
Cluster computing
Data mining
Neurophysiology

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title = "A cluster of workstations for on-line analyses of neurophysiological data",

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.",

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T1 - A cluster of workstations for on-line analyses of neurophysiological data

AU - Laubach, M.

AU - Arieh, Y.

AU - Luczak, A.

AU - Oh, J.

AU - Xu, Y.

PY - 2003/8/22

Y1 - 2003/8/22

N2 - 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.

AB - 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.

KW - Brain-Machine Interface

KW - Cluster computing

KW - Data mining

KW - Neurophysiology

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EP - 18

Y2 - 22 March 2003 through 23 March 2003

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