How reliable is the connectivity in cortical neural networks?

Neurons use stochastic components, including ion channels, to process and transmit information. In small structures these can cause significant signal fluctuations. We developed a stochastic simulator to investigate the reliability of cortical axons. Ion channel stochasticity makes these thin axons highly susceptible to spontaneous action potentials and information rates decrease linearly with distance.

[1]  勇一 作村,et al.  Biophysics of Computation , 2001 .

[2]  A. Alonso,et al.  Noise from voltage-gated ion channels may influence neuronal dynamics in the entorhinal cortex. , 1998, Journal of neurophysiology.

[3]  A. Hodgkin,et al.  A quantitative description of membrane current and its application to conduction and excitation in nerve , 1990 .

[4]  S. Laughlin,et al.  An Energy Budget for Signaling in the Grey Matter of the Brain , 2001, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[5]  G D Lewen,et al.  Reproducibility and Variability in Neural Spike Trains , 1997, Science.

[6]  Rob R. de Ruyter van Steveninck,et al.  The metabolic cost of neural information , 1998, Nature Neuroscience.

[7]  Takuji Nishimura,et al.  Mersenne twister: a 623-dimensionally equidistributed uniform pseudo-random number generator , 1998, TOMC.

[8]  D. Gillespie.  Markov Processes: An Introduction for Physical Scientists , 1991 .

[9]  L. Walløe,et al.  Firing behaviour in a stochastic nerve membrane model based upon the Hodgkin-Huxley equations. , 1979, Acta physiologica Scandinavica.

[10]  B. Sakmann,et al.  Single-Channel Recording , 1983, Springer US.

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

[12]  William Bialek,et al.  Entropy and Information in Neural Spike Trains , 1996, cond-mat/9603127.

[13]  S. A. George,et al.  Changes in interspike interval during propagation: Quantitative description , 1977, Biological Cybernetics.

[14]  Prof. Dr. Dr. Valentino Braitenberg,et al.  Cortex: Statistics and Geometry of Neuronal Connectivity , 1998, Springer Berlin Heidelberg.

[15]  Idan Segev,et al.  Information Capacity and Robustness of Stochastic Neuron Models , 1999, NIPS.

[16]  William H. Press,et al.  Numerical recipes in C , 2002 .

[17]  R. Fox.  Stochastic versions of the Hodgkin-Huxley equations. , 1997, Biophysical journal.

[18]  Idan Segev,et al.  Ion Channel Stochasticity May Be Critical in Determining the Reliability and Precision of Spike Timing , 1998, Neural Computation.

[19]  B. Knight,et al.  Response variability and timing precision of neuronal spike trains in vivo. , 1997, Journal of neurophysiology.

[20]  Michael Mascagni,et al.  An initial-boundary value problem of physiological significance for equations of nerve conduction , 1989 .

[21]  M. D. Goldfinger,et al.  Computation of long-distance propagation of impulses elicited by Poisson-process stimulation. , 1995, Journal of neurophysiology.

[22]  Carson C. Chow,et al.  Spontaneous action potentials due to channel fluctuations. , 1996, Biophysical journal.