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

Access to Document

Link to publication in Scopus

Fingerprint Dive into the research topics of 'A cluster of workstations for on-line analyses of neurophysiological data'. Together they form a unique fingerprint.

Cite this

@conference{7e5fddf2317b40c08bfca707baf60d77,

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.",

keywords = "Brain-Machine Interface, Cluster computing, Data mining, Neurophysiology",

author = "M. Laubach and Y. Arieh and A. Luczak and J. Oh and Y. Xu",

year = "2003",

month = aug,

day = "22",

language = "English",

pages = "17--18",

note = "null ; Conference date: 22-03-2003 Through 23-03-2003",

}

TY - CONF

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

UR - http://www.scopus.com/inward/record.url?scp=0042661163&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:0042661163

SP - 17

EP - 18

Y2 - 22 March 2003 through 23 March 2003

ER -