Synchrony arising from a balanced synaptic plasticity in a network of heterogeneous neural oscillators.
We investigate the dynamics of a recurrent network of coupled heterogeneous neural oscillators with experimentally observed spike-timing-dependent synaptic plasticity. We show both theoretically and by computer simulations that, in a regime of a balance between synaptic potentiation and depression, the network of such oscillators converges to a stable synchronous state. The stability of this state is fostered by flexible synaptic weights which adjust themselves based on the relative timing of firing of pre- and postsynaptic oscillators.
Karbowski
Jan
J
Department of Mathematics, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA.
Ermentrout
G Bard
GB
D000818:Animals; D002540:Cerebral Cortex / Q000502:physiology; D006801:Humans; D015233:Models, Statistical; D009415:Nerve Net / Q000502:physiology*; D009474:Neurons / Q000502:physiology*; D013569:Synapses / Q000502:physiology*; D013997:Time Factors