University of Texas at Dallas

Computational Simulation of Reciprocal Cortical Interactions

We are using the morphological and physiological results of the Intracellular Project to build realistic computational models of neocortical neurons for use in large-scale simulations of cortico-cortical interactions (Jackson and Cauller, 1997). The large-scale networks of model neurons simulating cortical areas are interconnected with simulated projections based upon the patterns determined in our Neuroanatomy Project. Simulations of local synaptic interactions in small networks have demonstrated dynamical properties characteristic of fractal complexity and chaos (Jackson, Patterson and Cauller, 1996; Paul et al., 1997). These local circuit simulations provide a novel method to study neural chaos which is nearly impossible in living preparations that are non-stationary. Initial large-scale simulations of cortico-cortical interactions using GENESIS have demonstrated that the forward/backward patterns of reciprocal cortical connections serve to distribute both bottom-up and top-down influences across the sensory topography by reentrant synchronization of reverbatory co-activation ("chaoscillation"). Current studies in chronically implanted behaving rats are aimed at testing the validity of the simulated model by cross-correlation and spike pattern analysis of multiple neuron activities recorded simultaneously at several sites throughout sensory and motor areas of cortex. (Jackson and Cauller, 1999).


Larry Cauller, Ph.D.

lcauller@utdallas.edu

(214)883-2436 FAX (214)883-2491


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