Impact of intrinsic neuronal heterogeneity on firing rates and spike train correlations
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1
University of Freiburg, Bernstein Center Freiburg, Germany
We studied the impact of neuronal heterogeneity on the spiking activities in a population of leaky integrate-and-fire neurons. In the high input regime, the sum of synaptic inputs to a neuron can be approximated by a fluctuating input noise, characterized by its mean and variance (Brunel & Hakim, 1999; Kuhn et al., 2004). Based on data from in vitro recordings (Padmanabhan and Urban, 2010) and new insights from mathematical analyses, we conclude that common input into heterogeneous neurons is better realized by an identical noise with different values of mean and variance than by the usual practice of adding independent noises to individual neurons. We identified the distinct roles of the mean and the variance for the spiking activity of a population of heterogeneous neurons. We found that the output firing rate of a neuron is largely shaped by the mean level of the noise, whereas the distributed values of the variance give rise to different degrees of imprecise spiking. To conclude, when receiving common input, heterogeneous neurons may differ considerably in their output firing rates, and their spikes may be jittered by several milliseconds, a phenomenon some researchers have termed “decorrelation” (Padmanabhan and Urban, 2010).
Acknowledgements
Supported by the German Federal Ministry of Education and Research (BMBF 01GQ0420 “BCCN Freiburg” and BMBF 01GW0730 “Impulse Control”).
References
Brunel, N., and Hakim, V. (1999). Fast global oscillations in networks of integrate-and-fire neurons with low firing rates. Neural Comp. 11(7), 1621–1671.
Kuhn, A., Aertsen, A., and Rotter, S. (2004). Neuronal integration of synaptic input in the fluctuation-driven regime. J. Neurosci. 24, 2345-2356.
Padmanabhan, K., and Urban, N. N. (2010). Intrinsic biophysical diversity decorrelates neuronal firing while increasing information content. Nat. Neurosci. 13(10), 1276–1282.
Keywords:
imprecise spiking,
Neuronal heterogeneity,
white noise
Conference:
BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011, Freiburg, Germany, 4 Oct - 6 Oct, 2011.
Presentation Type:
Poster
Topic:
neurons, networks and dynamical systems (please use "neurons, networks and dynamical systems" as keywords)
Citation:
Yim
M,
Aertsen
A and
Rotter
S
(2011). Impact of intrinsic neuronal heterogeneity on firing rates and spike train correlations.
Front. Comput. Neurosci.
Conference Abstract:
BC11 : Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting 2011.
doi: 10.3389/conf.fncom.2011.53.00213
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Received:
17 Aug 2011;
Published Online:
04 Oct 2011.
*
Correspondence:
Miss. Man Yi Yim, University of Freiburg, Bernstein Center Freiburg, Freiburg, 79104, Germany, yim@bcf.uni-freiburg.de