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Behavioral/Systems/Cognitive Resonant Synchronization in Heterogeneous Networks of

Summary: Behavioral/Systems/Cognitive
Resonant Synchronization in Heterogeneous Networks of
Inhibitory Neurons
Reinoud Maex and Erik De Schutter
Laboratory of Theoretical Neurobiology, Born-Bunge Foundation, University of Antwerp, B-2610 Antwerp, Belgium
Brain rhythms arise through the synchronization of neurons and their entrainment in a regular firing pattern. In this process, networks
of reciprocally connected inhibitory neurons are often involved, but what mechanism determines the oscillation frequency is not com-
pletely understood. Analytical studies predict that the emerging frequency band is primarily constrained by the decay rate of the unitary
IPSC. We observed a new phenomenon of resonant synchronization in computer-simulated networks of inhibitory neurons in which the
excitation, all neurons fire synchronously and rhythmically with a period approximately four times the mean delay of the onset of the
inhibitory synaptic current. The amplitude and decay time constant of the synaptic current have relatively minor effects on the emerging
frequency band. By varying the axonal delay of the inhibitory connections, networks with a realistic synaptic kinetics can be tuned to
frequencies from 40 to 200 Hz. This resonance phenomenon arises in heterogeneous networks with, on average, as few as five connec-
tions per neuron. We conclude that the delay of the synaptic current is the primary parameter controlling the oscillation frequency of
inhibitory networks and propose that delay-induced synchronization is a mechanism for fast brain rhythms that depend on intact
inhibitory synaptic transmission.
Key words: computer; delayed response; inhibition; network; oscillator; rhythm
Networks of inhibitory neurons with reciprocal synaptic connec-


Source: Andrzejak, Ralph Gregor - Departament de Tecnologia, Universitat Pompeu Fabra
De Schutter, Erik - Born-Bunge Foundation, Universiteit Antwerpen


Collections: Biology and Medicine; Computer Technologies and Information Sciences