Title :
Influence of Criticality on 1/fα Spectral Characteristics of Cortical Neuron Populations
Author_Institution :
Memphis Univ., Memphis
Abstract :
Critical properties of dynamical models of neural populations are studied. Synchronization of the firing of widely dispersed neurons enables the emergence of spatial patterns of cortical activity. Using neuropercolation model introduced in the literature in the past few years, the dynamics of neural populations is studied near critical regimes. Behavior is evaluated with respect to long-range axonal density and sparseness of feedback between excitatory and inhibitory populations. The results show that 1/falpha spectral behavior emerges near criticality, where exponent alpha is function of the critical state of the system.
Keywords :
cognition; neural nets; percolation; cortical activity; cortical neuron populations; dynamical models; long-range axonal density; neural populations; neuropercolation model; spectral characteristics; Brain modeling; Computer science; Differential equations; Electroencephalography; Humans; Laboratories; Lattices; Neurodynamics; Neurons; Power system modeling;
Conference_Titel :
Neural Networks, 2006. IJCNN '06. International Joint Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9490-9
DOI :
10.1109/IJCNN.2006.246742