Biological Cybernetics

, Volume 74, Issue 6, pp 537–542 | Cite as

Neuron as time coherence discriminator

  • A. K. Vidybida
Original Papers


Neuronal excitability under stimuli with a complex time course is investigated on the basis of the numerical solution of the Hodgkin-Huxley equations. Each stimulus is composed of 100–1000 unitary excitatory postsynaptic potentials (uEPSP) that start randomly within a definite time window. Probability of initiating a spike [firing probability, FP(W)] as a function of the window width W is calculated by the Monte Carlo method. FP(W) has a step-like shape: it becomes equal to 1 for small W and almost vanishes as W exceeds some value WS. The role of long-lasting somatic inhibition is analysed. WS depends on the inhibition potential, but the step-like shape of FP is preserved. It is concluded that the capability of multisynaptic stimulation to cause a spike can be expressed in terms of temporal coherence between the synaptic inputs. Namely, the spike is initiated if the temporal coherence between active inputs is above a definite threshold. The threshold value can be effectively regulated by varying the inhibition potential.


Coherence Monte Carlo Method Time Window Complex Time Inhibition Potential 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag 1996

Authors and Affiliations

  • A. K. Vidybida
    • 1
  1. 1.Bogolyubov Institute for Theoretical PhysicsKievUkraine

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