Title :
Large scale simulation for velocity prediction in the turtle visual cortex
Author :
Nenadic, Z. ; Ghosh, B.K. ; Ulinski, P.S.
Author_Institution :
Dept. of Syst. Sci. & Math., Washington Univ., St. Louis, MO, USA
Abstract :
The goal of the paper is to verify that position and velocity of a spot of light incident on the retina of a turtle are encoded by the associated spatiotemporal dynamics of the cortical waves they generate. This conjecture is verified by synthesizing a biophysically realistic large scale model of the visual cortex using a software package called GENESIS. The cortical waves are recorded and analyzed using the principal components analysis and the position and velocity information from the visual space is mapped onto an abstract B-space, to be described, using the coefficients of the basis vectors. The likely values of the position/velocity are estimated using standard statistical detection methods
Keywords :
Bayes methods; biology computing; eye; maximum likelihood estimation; neurophysiology; physiological models; principal component analysis; software packages; vision; GENESIS; abstract B-space; cortical waves; large scale simulation; principal components analysis; retina; software package; spatiotemporal dynamics; statistical detection methods; turtle visual cortex; velocity prediction; Anatomy; Biological system modeling; Brain modeling; Functional analysis; Information analysis; Large-scale systems; Neurons; Predictive models; Retina; Spatiotemporal phenomena;
Conference_Titel :
Decision and Control, 2001. Proceedings of the 40th IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-7061-9
DOI :
10.1109/.2001.980134