PMID: 9188190Jul 1, 1997Paper

Physiological gain leads to high ISI variability in a simple model of a cortical regular spiking cell

Neural Computation
Todd W Troyer, K D Miller

Abstract

To understand the interspike interval (ISI) variability displayed by visual cortical neurons (Softky & Koch, 1993), it is critical to examine the dynamics of their neuronal integration, as well as the variability in their synaptic input current. Most previous models have focused on the latter factor. We match a simple integrate-and-fire model to the experimentally measured integrative properties of cortical regular spiking cells (McCormick, Connors, Lighthall, & Prince, 1985). After setting RC parameters, the post-spike voltage reset is set to match experimental measurements of neuronal gain (obtained from in vitro plots of firing frequency versus injected current). Examination of the resulting model leads to an intuitive picture of neuronal integration that unifies the seemingly contradictory 1/square root of N and random walk pictures that have previously been proposed. When ISIs are dominated by postspike recovery, 1/square root of N arguments hold and spiking is regular; after the "memory" of the last spike becomes negligible, spike threshold crossing is caused by input variance around a steady state and spiking is Poisson. In integrate-and-fire neurons matched to cortical cell physiology, steady-state behavior is predomina...Continue Reading

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Citations

Dec 4, 2002·Biological cybernetics·Roland E Suri, Terrence J Sejnowski
May 28, 2009·Biological cybernetics·Joanna Pressley, Todd W Troyer
Sep 1, 2005·Journal of Computational Neuroscience·Jaeseung JeongKyoung J Lee
Apr 25, 2006·Journal of Computational Neuroscience·Renaud JolivetWulfram Gerstner
Jan 19, 2008·Journal of Computational Neuroscience·Shigeru Kubota, Tatsuo Kitajima
Jan 22, 2000·Brain Research Bulletin·L F Abbott
Aug 3, 2001·Nature Reviews. Neuroscience·E Salinas, T J Sejnowski
Oct 30, 2012·Nature Neuroscience·Mark M Churchland, L F Abbott
Dec 23, 1998·Network : Computation in Neural Systems·J K LinT J Sejnowski
Sep 15, 2004·Journal of Integrative Neuroscience·Allan D Coop, George N Reeke
Jun 9, 2000·Annual Review of Neuroscience·R C deCharms, A Zador
Jul 19, 2005·Annual Review of Neuroscience·Tim P VogelsL F Abbott
Sep 18, 2009·Journal of Neurophysiology·Vladislav VolmanTerrence J Sejnowski
Jun 9, 2006·Journal of Neurophysiology·Ramnarayan Ramachandran, Stephen G Lisberger
Aug 17, 2005·Journal of Cognitive Neuroscience·Michael E Hasselmo
Nov 14, 2001·Neural Computation·K I Amemori, S Ishii
Aug 20, 2002·Neural Computation·Emilio Salinas, Terrence J Sejnowski
Feb 20, 2003·Neural Computation·Alexandre KuhnStefan Rotter
Sep 27, 2003·Neural Computation·Benjamin LindnerAdi Bulsara
Oct 11, 2005·Neural Computation·Michiel BerendsErik De Schutter
Aug 11, 1998·Neural Computation·C van Vreeswijk, H Sompolinsky
Jul 27, 1999·Neural Computation·M A Kisley, G L Gerstein
Jun 13, 2006·Neural Computation·Jean-Pascal PfisterWulfram Gerstner
Jun 15, 2006·Neural Computation·Arun P Sripati, Kenneth O Johnson
Dec 19, 2007·Neural Computation·Kay ThurleyRichard Kempter
Jul 29, 2009·Neural Computation·Qingguo ZhouHong Zhao
Dec 6, 2008·Biology Direct·Daniel McDonaldM D Betterton
Nov 17, 2010·PLoS Computational Biology·Baktash Babadi, L F Abbott

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