Impact of network activity on noise delayed spiking for a Hodgkin-Huxley model

Abstract.In a Hodgkin-Huxley neuron model driven just above threshold, external noise can increase both jitter and latency of the first spike, an effect called “noise delayed decay” (NDD). This phenomenon is important when considering how neuronal information is represented, thus by the precise timing of spikes or by their rate. We examine how NDD can be affected by network activity by varying the model's membrane time constant, τm. We show that NDD is significant for small τm or high network activity, and decreases for large τm, or low network activity. Our results suggest that for inputs just above threshold, the activity of the network constrains the neuronal coding strategy due to, at least in part, the NDD effect.

[1]  A. Larkman,et al.  Dendritic morphology of pyramidal neurones of the visual cortex of the rat: III. Spine distributions , 1991, The Journal of comparative neurology.

[2]  A. Hodgkin,et al.  A quantitative description of membrane current and its application to conduction and excitation in nerve , 1952, The Journal of physiology.

[3]  C. Koch,et al.  Synaptic background activity influences spatiotemporal integration in single pyramidal cells. , 1991, Proceedings of the National Academy of Sciences of the United States of America.

[4]  M. Diamond,et al.  The Role of Spike Timing in the Coding of Stimulus Location in Rat Somatosensory Cortex , 2001, Neuron.

[5]  William Bialek,et al.  Spikes: Exploring the Neural Code , 1996 .

[6]  Erik Mosekilde,et al.  Resonant activation in a stochastic Hodgkin-Huxley model: Interplay between noise and suprathreshold driving effects , 2005 .

[7]  Paul Tiesinga,et al.  Influence of ionic conductances on spike timing reliability of cortical neurons for suprathreshold rhythmic inputs. , 2004, Journal of neurophysiology.

[8]  Y. Frégnac,et al.  Visual input evokes transient and strong shunting inhibition in visual cortical neurons , 1998, Nature.

[9]  A. Malakhov,et al.  ON THE EFFECT OF FLUCTUATIONS ON AN INTERMITTENT LAMINAR MOTION , 1995 .

[10]  A. P. Georgopoulos,et al.  Neuronal population coding of movement direction. , 1986, Science.

[11]  E. Adrian,et al.  The impulses produced by sensory nerve endings , 1926, The Journal of physiology.

[12]  B. Connors,et al.  Electrophysiological properties of neocortical neurons in vitro. , 1982, Journal of neurophysiology.

[13]  Moshe Abeles,et al.  Corticonics: Neural Circuits of Cerebral Cortex , 1991 .

[14]  Christof Koch,et al.  Temporal Precision of Spike Trains in Extrastriate Cortex of the Behaving Macaque Monkey , 1999, Neural Computation.

[15]  E Guigon,et al.  Bistable behaviour in a neocortical neurone model , 1997, Neuroreport.

[16]  E. Vaadia,et al.  Spatiotemporal firing patterns in the frontal cortex of behaving monkeys. , 1993, Journal of neurophysiology.

[17]  Idan Segev,et al.  The Impact of Parallel Fiber Background Activity on the Cable Properties of Cerebellar Purkinje Cells , 1992, Neural Computation.