Neural Comput - Dynamics and reliability of bistable neurons driven with time-dependent stimuli.

Tópicos

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Resumo

The reliability of a spiking neuron depends on the frequency content of the driving input signal. Previous studies have shown that well above threshold, regularly firing neurons generate reliable responses when the input signal resonates with the firing frequency of the cell. Instead, well below threshold, reliable responses are obtained when the input frequency resonates with the subthreshold oscillations of the neuron. Previous theories, however, provide no clear prediction for the input frequency giving rise to maximally reliable spiking at threshold, which is probably the most relevant firing regime in mammalian cortex under physiological conditions. In particular, when the firing onset is governed by a subcritical Hopf bifurcation, the frequency of subthreshold oscillations often differs from the firing rate at threshold. The predictions of previous studies, hence, cannot be smoothly merged at threshold. Here we explore the behavior of reliability in bistable neurons near threshold using three types of driving stimuli: constant, periodic, and stochastic. We find that the two natural frequencies of the system, associated with the two coexisting attractors, provide a rich variety of possible locking modes with the external signal. Reliability is determined by the sensitivity to noise of each locking mode and by the transition probabilities between modes. Noise increases the amount of spike time jitter, and minimal jitter is obtained for input frequencies coinciding with the suprathreshold firing rate of the cell. In addition, noise may either enhance or inhibit transitions between the two attractors, depending on the input frequency. The dual role played by noise in bistable systems implies that reliability is determined by a delicate balance between spike time jitter and the rate of transitions between attractors.

Resumo Limpo

reliabl spike neuron depend frequenc content drive input signal previous studi shown well threshold regular fire neuron generat reliabl respons input signal reson fire frequenc cell instead well threshold reliabl respons obtain input frequenc reson subthreshold oscil neuron previous theori howev provid clear predict input frequenc give rise maxim reliabl spike threshold probabl relev fire regim mammalian cortex physiolog condit particular fire onset govern subcrit hopf bifurc frequenc subthreshold oscil often differ fire rate threshold predict previous studi henc smooth merg threshold explor behavior reliabl bistabl neuron near threshold use three type drive stimuli constant period stochast find two natur frequenc system associ two coexist attractor provid rich varieti possibl lock mode extern signal reliabl determin sensit nois lock mode transit probabl mode nois increas amount spike time jitter minim jitter obtain input frequenc coincid suprathreshold fire rate cell addit nois may either enhanc inhibit transit two attractor depend input frequenc dual role play nois bistabl system impli reliabl determin delic balanc spike time jitter rate transit attractor

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