Self-Organization in a Parametrically Coupled Logistic Map Network: A Model for Information Processing in the Visual Cortex

R. Pashaie, N.H. Farhat
2009 IEEE Transactions on Neural Networks  
In this paper, a new model seeking to emulate the way the visual cortex processes information and interacts with subcortical areas to produce higher level brain functions is described. We developed a macroscopic approach that incorporates salient attributes of the cortex based on combining tools of nonlinear dynamics, information theory, and the known organizational and anatomical features of cortex. Justifications for this approach and demonstration of its effectiveness are presented. We also
more » ... presented. We also demonstrate certain capabilities of this model in producing efficient sparse representations and providing the cortical computational maps.
doi:10.1109/tnn.2008.2010703 pmid:19273047 fatcat:hu2r37lz2jdn7j5wbszl3r5hmy