Neurochemical Networks, Nonlinear Systems and Functional Neuroimaging.

摘要

This report introduces a neurochemical network model for brain processes: the configuration parameters of the network are the concentrations of M compounds at N locations and these concentrations are connected both spatially and biochemically. A phase space can be constructed to plot the behavior of the network. A brief overview is given of Hamiltonian and dissipative systems, to provide the background for a description of neurochemical networks as nonlinear systems. A set of updating rules defines the changes in the neurochemical network. Updating can result in qualitative changes (both continuous and discontinuous) in the behavior of the network. Hamiltonian and gradient behavior for updating and limits to updating are discussed.