Signal integration enhances the dynamic range in neuronal systems

Details Signal integration enhances the dynamic range in neuronal systems Signal integration enhances the dynamic range in neuronal systems

2012-03-31

arxiv.org/abs/1204.0119v1

Biology

Quantitative Biology

Neurons and Cognition

5 pages, 4 figures

Scientific paper

The dynamic range measures the capacity of a system to discriminate external stimulus intensity. Such ability is fundamental for living beings to survive: to leverage resources and to avoid the danger. Consequently, the greater the dynamic range, the greater the probability of survival. We investigate how integration of different input signals affects the dynamic range, and in general the collective behavior of a network of excitable units. By means of numerical simulations and a mean-field approach we explore the non-equilibrium phase transition in the presence of integration. We show that the firing rate in random and scale-free networks undergoes a discontinuous phase transition depending on both the integration time and the density of integrator units. Moreover, in the presence of external stimuli, we find that a system of excitable integrator units operating in a bistable regime largely enhances its dynamic range.

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