Randall J. Lane, Ralph Linsker, et al.
Archives of Dermatology
Synchronous firing peaks at levels greatly exceeding background activity have recently been reported in neocortical tissue. A small subset of neurons is dominant in a large fraction of the peaks. To investigate whether this striking behavior can emerge from a simple model, we constructed and studied a model neural network that uses a modified Hopfield-type dynamical rule. We find that networks having a power-law ("scale-free") node degree distribution readily generate extremely large synchronous firing peaks dominated by a small subset of nodes, whereas random (Erdös-Rényi) networks do not. This finding suggests that network topology may play an important role in determining the nature and magnitude of synchronous neural activity. © 2005 by The National Academy of Sciences of the USA.
Randall J. Lane, Ralph Linsker, et al.
Archives of Dermatology
Alina Beygelzimer, Geoffrey Grinstein, et al.
ICAC 2004
Ralph Linsker
Neural Computation
Louis G. Prevosti, James J. Wynne, et al.
Journal of Vascular Surgery