Title :
Modeling and estimation problems in the turtle visual cortex
Author :
Nenadic, Zoran ; Ghosh, Bijoy K. ; Ulinski, Philip S.
Author_Institution :
Dept. of Syst. Sci. & Math., Washington Univ., St. Louis, MO, USA
Abstract :
The goal of this paper is to verify that position and velocity of a spot of light incident on the retina of a turtle are encoded by the spatiotemporal dynamics of the cortical waves they generate. This conjecture is examined using a biophysically realistic large-scale computational model of the visual cortex implemented with the software package, GENESIS. The cortical waves are recorded and analyzed using principal components analysis and the position and velocity information from visual space is mapped onto an abstract B-space, to be described, using the coefficients of the principal components expansion. The likely values of the position/velocity are estimated using standard statistical detection methods.
Keywords :
Bayes methods; Karhunen-Loeve transforms; brain models; eye; maximum likelihood estimation; neurophysiology; physiological models; principal component analysis; visual evoked potentials; Bayesian estimation; GENESIS software package; Karhunen-Loeve decomposition; abstract B-space; action potentials; biophysically realistic model; cortical waves; estimation problems; large-scale computational model; light spot position; light spot velocity; low-dimensional subspace; maximum-likelihood estimation; membrane potentials; moving stimulus; principal components analysis; retina; spatiotemporal dynamics; stationary stimulus; turtle visual cortex; Brain modeling; Computational modeling; Extracellular; Information analysis; Large-scale systems; Neurons; Principal component analysis; Retina; Software packages; Spatiotemporal phenomena; Algorithms; Animals; Bayes Theorem; Cluster Analysis; Computer Simulation; Evoked Potentials, Visual; Interneurons; Models, Neurological; Motion; Motion Perception; Nerve Net; Photic Stimulation; Pyramidal Cells; Reproducibility of Results; Retina; Turtles; Visual Cortex; Visual Fields;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.2002.800753