DocumentCode :
434569
Title :
Turtle cortical activity captured by dynamic models
Author :
Joseph, Jenner J. ; Ghosh, B.K.
Author_Institution :
Dept. of Electr. & Syst. Eng., Washington Univ., St. Louis, MO, USA
Volume :
1
fYear :
2004
fDate :
14-17 Dec. 2004
Firstpage :
136
Abstract :
It is well known that visual targets evoke waves of activity in the visual cortex of freshwater turtles. In this paper we construct an ARMA system realization of the cortical wave generated as a result of both simple stationary flash and moving natural inputs to the cortex. These inputs include video sequences from ´an ocean with moving fish´. The input sequences and the output cortical waves are represented with respect to suitably chosen spatial and temporal bases. The corresponding coefficient sequences are viewed as inputs to and outputs of the ARMA system. The paper discusses system realization using a least squares algorithm.
Keywords :
autoregressive moving average processes; biocontrol; least squares approximations; neurophysiology; visual evoked potentials; ARMA system; dynamic model; freshwater turtles; least squares algorithm; output cortical waves; turtle cortical activity; video sequences; visual cortex; visual targets; Brain modeling; Extracellular; Large-scale systems; Least squares methods; Nonlinear systems; Oceans; Principal component analysis; Systems engineering and theory; Video sequences; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 2004. CDC. 43rd IEEE Conference on
ISSN :
0191-2216
Print_ISBN :
0-7803-8682-5
Type :
conf
DOI :
10.1109/CDC.2004.1428619
Filename :
1428619
Link To Document :
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