摘要We investigate responses of the Hodgkin--Huxley globally neuronal systems to periodic spike-train inputs. The firing activities of the neuronal networks show different rhythmic patterns for different parameters. These rhythmic patterns can be used to explain cycles of firing in real brain. These activity patterns, average activity and coherence measure are affected by two quantities such as the percentage of excitatory couplings and stimulus intensity, in which the percentage of excitatory couplings is more important than stimulus intensity since the transition phenomenon of average activity comes about.
Abstract:We investigate responses of the Hodgkin--Huxley globally neuronal systems to periodic spike-train inputs. The firing activities of the neuronal networks show different rhythmic patterns for different parameters. These rhythmic patterns can be used to explain cycles of firing in real brain. These activity patterns, average activity and coherence measure are affected by two quantities such as the percentage of excitatory couplings and stimulus intensity, in which the percentage of excitatory couplings is more important than stimulus intensity since the transition phenomenon of average activity comes about.
CHANG Wen-Li;WANG Sheng-Jun;WANG Ying-Hai. Responses of Hodgkin--Huxley Neuronal Systems to Spike-Train Inputs[J]. 中国物理快报, 2007, 24(9): 2696-2699.
CHANG Wen-Li, WANG Sheng-Jun, WANG Ying-Hai. Responses of Hodgkin--Huxley Neuronal Systems to Spike-Train Inputs. Chin. Phys. Lett., 2007, 24(9): 2696-2699.
[1] Bar-Yam Y and Epstein I R 2004 Proc. Natl. Acad. Sci. 1014341 [2] Boccaletti S et al 2006 Phys. Rep. 424 175 [3] Xu X J et al %, Wang S J, Tang W and Wang Y H2005 Chin. Phys. Lett. 22 507 [4] Yuan W J, Luo X S et al 2006 Chin. Phys. Lett. 23 3115 [5] Sejnowski T J 1995 Nature 376 21 [6] Hopfield J J 1995 Nature 376 33 [7] Ferster D and Spruston N 1995 Science 270 756 [8] Abeles M et al 1993 J. Neurophysiol. 70 1629 [9] Singer W 1999 Neuron 24 49 [10] Ikegaja Y et al 2004 Science 304 559 [11] Gansel K and Singer W 2005 Soc. Neurosci. Abstr. 276 8 [12] Diesmann M et al %, Gewaltig M and Aertsen A1999 Nature 402 529 [13] Wang S et al %, Wang W and Liu F2006 Phys. Rev. Lett. 96 018103 [14] Jin D 2002 Phys. Rev. Lett. 89 208102 [15] Memmesheimer R and Timme M 2006 Phys. Rev. Lett. 97 188101 [16] Yu Y et al %, Wang W, Wang J and Liu F2001 Phys. Rev. E 63 021907 [17] Hodgkin A L and Huxley A F 1952 J. Physiol. 117 500 [18] Hansel D, Mato G and Meunier C 1993 Europhys. Lett. 23 367 [19] Hasegawa H 2000 Phys. Rev. E 61 718 [20] Wang X J and Buzsaki G 1996 J. Neurosci. 16 6402 [21]Eccles J C 1973 The Understanding of Brain (New York: McGraw-Hill) [22] Haider B et al %, Duque A, Hasenstaub A R and McCormick D A2006 J. Neurosci. 26 4535