Title :
A cluster of workstations for on-line analyses of neurophysiological data
Author :
Laubach, M. ; Arieh, Y. ; Luczak, A. ; Oh, J. ; Xu, Y.
Author_Institution :
John B. Pierce Lab., Yale Univ., New Haven, CT, USA
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 :
bioelectric potentials; biological techniques; biology computing; cellular biophysics; data mining; laboratory techniques; neurophysiology; signal processing; workstations; awake animals; behavioral task; behavioral tasks; biophysical research methodology; computer system; electric brain signals; large-scale neurophysiological data sets; nerve cells; neurons ensembles; neuroscience method; on-line real-time analyses; real-time decoding; research laboratory; sequential analyses; simultaneous analyses; workstations cluster; Biomedical computing; Biomedical engineering; Computer science; Data analysis; Laboratories; Large-scale systems; Neuroscience; Performance analysis; Real time systems; Workstations;
Conference_Titel :
Bioengineering Conference, 2003 IEEE 29th Annual, Proceedings of
Print_ISBN :
0-7803-7767-2
DOI :
10.1109/NEBC.2003.1215970
