Anti-Interference of Neuronal Network Synchronization

Abstract

Abstract:

Abstract： To understand the underlying mechanism of reliable neural information processing in noise, the neuronal model was adopted to build neuronal network and its activities of synchronized firing and characteristics of antiinference were analyzed. The degree of synchronization and ability of antiinterference were quantified and the relation between them was discussed. The simulation results show that the scales of neuronal network and strength of coupling have remarkable effects both on synchronization and antiinterference; under some conditions, the ability of antiinference is almost linear with the degree of neuronal synchronization. Therefore, it is concluded that neuronal synchronization can reduce noise and execute reliable information coding and processing in the brain.

Key words: neuronal network, noise, synchronized firing, anti-inference, small-world network

CLC Number:

CHANG Xiaolonga,DING Guoliangb,LOU Jiananc. Anti-Interference of Neuronal Network Synchronization[J]. Journal of Shanghai Jiaotong University, 2014, 48(10): 1485-1490.

References

［1］Fell J, Axmacher N. The role of phase synchronization in memory process［J］. Nature Reviews Neuroscience, 2011, 12(2):105118.

［2］Womelsdorf T, Schoffelen J M, Oostenveld R, et al. Modulation of neuronal interactions through neuronal synchronization［J］. Science, 2007, 316:16091612.

［3］Engel A K, Singer W. Temporal binding and the neural correlates of sensory awareness［J］. Trends Cogn Sci, 2001, 5(1):1625.

［4］Bosman C A, Schoffelen J M, Brunet N, et al. Attentional stimulus selection through selective synchronization between monkey visual areas［J］. Neuron, 2012, 75(5):875888.

［5］Faisal A A, Selen L P, Wolpert D M. Noise in the nervous system［J］. Nature Reviews Neuroscience, 2008, 9(4):292303.

［6］刘少宝，吴莹，郝忠文,等. 钠离子和钾离子通道噪声扰动对神经网络时空模式的影响［J］. 物理学报，2012，61(2):020503(17).

LIU Shaobao, WU Ying, HAO Zhongwen, et al. Effects of sodium and postassium ion channel fluctuation on the spatiotemporal patterns of neuronal network［J］. Acta Physica Sinica, 2012, 61(2):020503(17).

［7］Yalcin S, Erdem G. Biological effects of electromagnetic fields［J］. African Journal of Biotechnology, 2012, 11(7): 39333941.

［8］Adelman T L, Bialek W, Olberg R M. The information content of receptive fields［J］. Neuron, 2003, 40(4):823833.

［9］Sober S J, Sabes P. Flexible strategies for sensory integration during motor planning［J］. Nature Neuroscience, 2005, 8(4):490497.

［10］Koziov A S, Risler T, Hudspeth A J. Coherent motion of stereocilia assures the concerted gating of haircell transduction channels［J］. Nature Neuroscience, 2007, 10(1):8792.

［11］Kandel E R, Schwart J H, Jessell T M. Principles of neural science［M］. 4th ed. New York: McGrawHill, 2000.

［12］方小玲，于洪洁. 噪声影响下的非线性耦合HindmarshRose神经网络混沌同步［J］. 上海交通大学学报, 2008, 42(6):10221026.

FANG Xiaoling, YU Hongjie. The chaotic synchronization of nonlinear coupled hindmarshrose neural networks in noisy enviroments［J］. Journal of Shanghai Jiaotong University, 2008, 42(6):10221026.

［13］Wei D Q, Luo X S. Coherence resonance and noiseinduced synchronization in HindmarshRose neural network with different topologies［J］. Communication in Theoretical Physics, 2007, 48(4):759792.

［14］McDonnell M D, Abbott D. What is stochastic resonance? Definitions, Misconceptions, Debates, and Its relevance to biology ［J］. PLoS Computational Biology, 2009, 5(5):e1000348(19).

［15］Tabareau N, Slotine J J, Pham Q C. How synchronization protects from noise［J］. PLoS Computational Biology, 2010, 6(1):e1000637(19).

［16］Bouvrie J, Slotine J J. Synchronization and redundancy: Implications for robustness of neural learning and decision making［J］. Neural Computation, 2011, 23(11):29152941.

［17］Needleman D J, Tiesinga P H E, Sejnowski T J. Collective enhancement of precision in networks of coupled oscillators［J］. Physica D, 2001, 155(34):324336.

［18］Tiesinga P H E, Sejnowski T J. Precision of pulsecoupled networks of integrateandfire neurons［J］. Network: Computation Neural Systems, 2001, 12(2):215233.

［19］Fitzhugh R. Impulse and physiological states in theoretical models of nerve membrane［J］. Biophysical Journal, 1961, 1(6):445466.

［20］Bullmore E, Sporns O. The economy of brain network organization［J］. Nature Reviews Neuroscience, 2012, 13(5): 336349.

［21］Newman M E J, Watts D J. Renormalization group analysis of the smallworld network model［J］. Physics Letters A, 1999, 263(46): 341346.

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