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Mechanisms for oscillation and frequency control in reciprocally inhibitory model neural networks
Authors:Frances K. Skinner  Nancy Kopell  Eve Marder
Affiliation:(1) Department of Biology and Center for Complex Systems, Brandeis University, 02254-9110 Waltham, MA;(2) Department of Mathematics, Boston University, 02215 Boston, MA;(3) Department of Biology and Center for Complex Systems, Brandeis University, 02254-9110 Waltham, MA
Abstract:We describe four different mechanisms that lead to oscillations in a network of two reciprocally inhibitory cells. In two cases (intrinsic release and intrinsic escape) the frequency of the network oscillation is insensitive to the threshold voltage of the synaptic potentials. In the other two cases (synaptic release and synaptic escape) the network frequency is strongly determined by the threshold voltage of the synaptic connections. The distinction between the different mechanisms blurs as the function describing synaptic activation becomes less steep and as the model neurons are removed from the relaxation regime. These mechanisms provide insight into the parameters that control network frequency in motor systems that depend on reciprocal inhibition.
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