Abstract
We analyze extensively the temporal properties of the train of spikes emitted by a simple model neuron as a function of the statistics of the synaptic input. In particular we focus on the asynchronous case, in which the synaptic inputs are random and uncorrelated. We show that the NMDA component acts as a non-stationary input that varies on longer time scales than the inter-spike intervals. In the sub-threshold regime, this can increase dramatically the coefficient of variability (bringing it beyond one). The analysis provides also simple guidelines for searching parameters that maximize irregularity.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Amit D.J. and Tsodyks M.V., Effective neurons and attractor neural networks in cortical environment, NETWORK 3:121–137 (1992)
Harsch A. and Robinson H.P.C., Postsynaptic variability of firing in rat cortical neurons: the roles of input synchronization and synaptic NMDA receptor conductance, J. Neurosci. 16:6181–6192 (2000)
Shadlen M.N. and Newsome W.T., The variable discharge of cortical neurons: implications for connectivity, computation and information coding, J. Neurosci. 18(10):3870–3896 (1998)
Softky W.R. and Koch C., The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs, J. Neurosci. “(1):334 (1993)
Stevens C.F. and Zador A.M., Input synchrony and the irregular firing of cortical neurons, Nature Neuroscience 1:210–217 (1998)
Svirskis G. and Rinzel J., Influence of temporal correlation of synaptic input on the rate and variability of firing in neurons, Biophys. J. 5:629–637 (2000)
Troyer T.W. and Miller K.D., Physiological gain leads to high ISI variability in a simple model of a cortical regular spiking cell, Neural Comput. 9:971–983 (1997)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
La Camera, G., Fusi, S., Senn, W., Rauch, A., Lüscher, HR. (2002). When NMDA Receptor Conductances Increase Inter- spike Interval Variability. In: Dorronsoro, J.R. (eds) Artificial Neural Networks — ICANN 2002. ICANN 2002. Lecture Notes in Computer Science, vol 2415. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46084-5_39
Download citation
DOI: https://doi.org/10.1007/3-540-46084-5_39
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44074-1
Online ISBN: 978-3-540-46084-8
eBook Packages: Springer Book Archive