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IJON
2006

Predicting synchronized neural assemblies from experimentally estimated phase-resetting curves

8 years 3 months ago
Predicting synchronized neural assemblies from experimentally estimated phase-resetting curves
Neural-network dynamics frequently organize in assemblies of synchronized neurons that are thought to encode and store sensory information. We have investigated the mechanisms leading to the emergence of these neural assemblies with models of coupled oscillators. In particular, we used experimentally estimated phase-resetting curves (PRC) of real neurons (mitral cells) to realistically describe neurons as phase oscillators. Our simulations revealed that the formation of synchronized assemblies is a rather general phenomenon. In fact, a mathematical analysis proved that a necessary condition for synchronized assemblies to occur is that the Fourier expansion of the PRC contains a positive sine. r 2006 Elsevier B.V. All rights reserved.
Roberto Fdez. Galán, Bard Ermentrout, Natha
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2006
Where IJON
Authors Roberto Fdez. Galán, Bard Ermentrout, Nathaniel N. Urban
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