nips nips2006 nips2006-162 nips2006-162-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Ryota Kobayashi, Shigeru Shinomoto
Abstract: It has been established that a neuron reproduces highly precise spike response to identical fluctuating input currents. We wish to accurately predict the firing times of a given neuron for any input current. For this purpose we adopt a model that mimics the dynamics of the membrane potential, and then take a cue from its dynamics for predicting the spike occurrence for a novel input current. It is found that the prediction is significantly improved by observing the state space of the membrane potential and its time derivative(s) in advance of a possible spike, in comparison to simply thresholding an instantaneous value of the estimated potential. 1
[1]
[2]
[3]
[4]
[5]
[6]
[7]
[8]
[9]
[10]
[11]
[12]
[13]
[14]
[15]
[16]
[17]
[18]
[19]
[20] Hodgkin, A.L. & Huxley, A.F. (1952) J. Physiol. 117:500-544. FitzHugh, R. (1961) Biophys. J. 1:445-466. Nagumo, J., Arimoto, S. & Yoshizawa, S. (1962) Proc. IRE 50:2061-2070. Lapicque, L. (1907) J. Physiol. Pathol. Gen. 9:620-635. Hines, M.L. & Carnevale, N.T. (1997) Neural Comp. 9:1179-1209. Bower, J.M. & Beeman, D. (1995) The Book of GENESIS: Exploring Realistic Neural Models with the GEneral NEural SImulation System. New York: Springer-Verlag. Tsubo, Y., Kaneko, T. & Shinomoto, S. (2004) Neural Networks 17:165-173. Kistler, W., Gerstner, W. & van Hemmen, J.L. (1997) Neural Comp. 9:1015-1045. Gerstner, W. & Kistler, W. (2002) Spiking Neuron Models: Single Neurons, Populations, Plasticity. Cambridge: Cambridge Univ. Press. Jolivet, R., Lewis, T.J. & Gerstner, W. (2004) J. Neurophysiol. 92:959-976. Jolivet, R., Rauch, A., L¨ scher, H.R. & Gerstner, W. (2006) Integrate-and-Fire models with u adaptation are good enough: predicting spike times under random current injection. In Y. Weiss, B. Sch¨ lkopf and J. Platt (eds.), Advances in Neural Information Processing Systems o 18, pp. 595-602. Cambridge, MA: MIT Press. Westwick, D.T. & Kearney, R.E. (2003) Identification of Nonlinear Physiological Systems. (Ieee Press Series in Biomedical Engineering) Piscataway: Wiley-IEEE Press. Erisir, A., Lau, D., Rudy, B. & Leonard, C.S. (1999) J. Neurophysiol. 82:2476-2489. Mainen, Z.F. & Sejnowski, T.J. (1995) Science 268:1503-1506. MacKay, D. (2003) Information Theory, Inference and Learning Algorithms. Cambridge: Cambridge Univ. Press. Paninski, L., Pillow, J.W. & Simoncelli, E.P. (2005) Neurocomputing 65-66: 379-385 Azouz, R. & Gray, C.M. (2000) PNAS 97(14):8110-8115. Chichilnisky, E.J. (2001) Network 12(2):199-213. Pillow, J.W., Paninski, L., Uzzell, V.J., Simoncelli, E.P. & Chichilnisky, E.J. (2005) Journal of Neuroscience 25(47):11003-11013. Arcas, B.A., Fairhall, A.L. & Bialek, W. (2003) Neural Comp. 15:1715-1749.