Journal of Computational Neuroscience

, Volume 15, Issue 1, pp 91-103

First online:

Spike Generating Dynamics and the Conditions for Spike-Time Precision in Cortical Neurons

  • Boris GutkinAffiliated withUnité de Neurosciences Intégratives et Computationnelles
  • , G. Bard ErmentroutAffiliated withDepartment of Mathematics, University of Pittsburgh
  • , Michael RudolphAffiliated withUnité de Neurosciences Intégratives et ComputationnellesGatsby Computational Neuroscience Unit, University College of London

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Temporal precision of spiking response in cortical neurons has been a subject of intense debate. Using a canonical model of spike generation, we explore the conditions for precise and reliable spike timing in the presence of Gaussian white noise. In agreement with previous results we find that constant stimuli lead to imprecise timing, while aperiodic stimuli yield precise spike timing. Under constant stimulus the neuron is a noise perturbed oscillator, the spike times follow renewal statistics and are imprecise. Under an aperiodic stimulus sequence, the neuron acts as a threshold element; the firing times are precisely determined by the dynamics of the stimulus. We further study the dependence of spike-time precision on the input stimulus frequency and find a non-linear tuning whose width can be related to the locking modes of the neuron. We conclude that viewing the neuron as a non-linear oscillator is the key for understanding spike-time precision.

computational model cortical neurons Type I membrane frequency-locking