Proceedings of the 2012 International Symposium on Nonlinear Theory and its Applications
2012
Session Number:B4L-B
Session:
Number:489
Effects of shift in the excitatory-inhibitory balance on firing statistics
Kantaro Fujiwara, Tohru Ikeguchi,
pp.489-492
Publication Date:
Online ISSN:2188-5079
[1] Softky, W.R., Koch, C.: The highly irregular firing of cortical cells is inconsistent with temporal integration of random epsps. J. Neurosci. 13 (1993) 334-350
[2] Holt, G.R., Softky, W.R., Koch, C., Douglas, R.J.: Comparison of discharge variability in vitro and in vivo in cat visual cortex neurons. J Neurophysiol 75 (1996) 1806-1814
[3] Cox, D.R., Lewis, P.: The statistical analysis of series of events. London: Methuen (1966)
[4] Tuckwell, H.C.: Introduction to Theoretical Neurobiology. Volume 2. Cambridge University Press (1988)
[5] Baker, S.N., Lemon, R.N.: Precise spatiotemporal repeating patterns in monkey primary and supplementary motor areas occur at chance levels. J Neurophysiol 84 (2000) 1770-1780
[6] Shadlen, M.N., Newsome, W.T.: The variable discharge of cortical neurons: Implications for connectivity, computation, and information coding. J. Neurosci. 18 (1998) 3870-3896
[7] Sakai, Y., Funahashi, S., Shinomoto, S.: Temporally correlated inputs to leaky integrate-and-fire model can reproduce spiking statistics of cortical neurons. Neural Networks 12(8) (1999) 1181-1190
[8] Shinomoto, S., Shima, K., Tanji, J.: Differences in spiking patterns among cortical neurons. Neural comput. 15 (2003) 2823-2842
[9] Fujiwara, K., Fujiwara, H., Tsukada, M., Aihara, K.: Reproducing bursting interspike interval statistics of the gustatory cortex. Biosystems 90 (2007) 442-448
[10] Davies, R.M., Gerstein, G.L., Baker, S.N.: Measurement of time-dependent changes in the irregularity of neural spiking. J. Neurophysiol. 96 (2006) 906-918
[11] Fujiwara, K., Aihara, K., Suzuki, H.: Interspike interval statistics obtained from non-homogeneous gamma spike generator. Lecture Notes in Computer Science 5863(1) (2009)
[12] Cox, D.R., Isham, V.: Poisson processes. Chapman & Hall (1980)
[13] Miura, K., Tsubo, Y., Okada, M., Fukai, T.: Balanced excitatory and inhibitory inputs to cortical neurons decouple firing irregularity from rate modulations. The Journal of Neuroscience 27(50) (2007)
[14] Destexhe, A., Rudolph, M., Fellous, J.M., Sejnowski, T.J.: Fluctuating synaptic conductances recreate in vivo-like activity in neocortical neurons. Neuroscience 107(1) (2001)
[15] Maquet, P., Degueldre, C., Delfiore, G., Aerts, J., Péters, J.M., Luxen, A., Franck, G.: Functional neuroanatomy of human slow wave sleep. The Journal of Neuroscience 17(8) (1997)
[16] Traub, R.D., Whittington, M.A., Stanford, I.M., Jefferys, J.G.: A mechanism for generation of long-range synchronous fast oscillations in the cortex. Nature 383(6601) (1996)
[17] Whittington, M.A., Traub, R.D., Faulkner, H.J., Stanford, I.M., Jefferys, J.G.: Recurrent excitatory postsynaptic potentials induced by synchronized fast cortical oscillations. Proceedings of the National Academy of Sciences of the United States of America 94(22) (1997)
[18] Shu, Y., Hasenstaub, A., McCormick, D.A.: Turning on and off recurrent balanced cortical activity. Nature 423 (2003)
[19] Dani, V.S., Chang, Q., Maffei, A., Turrigiano, G.G., Jaenisch, R., Nelson, S.B.: Reduced cortical activity due to a shift in the balance between excitation and inhibition in a mouse model of rett syndrome. Proceedings of the National Academy of Sciences of the United States of America 102(35) (2005)
[20] Heiss, J.E., Katz, Y., Ganmor, E., Lampl, I.: Shift in the balance between excitation and inhibition during sensory adaptation of s1 neurons. The Journal of Neuroscience 28(49) (2008)
[21] Meffin, H., Burkitt, A.N., Grayden, D.B.: An analytical model for the large, fluctuating synaptic conductance state typical of neocortical neurons in vivo. Journal of Computational Neuroscience 16 (2004)