On the Formation of Persistent States in Neuronal Network Models of Feature Selectivity.

Autor: Haskell, Evan C., Bressloff, Paul C.
Předmět:
Zdroj: Journal of Integrative Neuroscience; Jun2003, Vol. 2 Issue 1, p103, 21p
Abstrakt: We study the existence and stability of localized activity states in neuronal network models of feature selectivity with either a ring or spherical topology. We find that the neural field has mono-stable, bi-stable, and tri-stable regimes depending on the parameters of the weighting function. In the case of homogeneous inputs, these localized activity states are marginally stable with respect to rotations. The response of a stable equilibrium to an inhomogeneous input is also determined. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index