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Effect of Increasing Inhibitory Inputs on Information Processing Within a Small Network of Spiking Neurons

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Computational and Ambient Intelligence (IWANN 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4507))

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Abstract

In this paper the activity of a spiking neuron A that receives a background input from the network in which it is embedded and strong inputs from an excitatory unit E and an inhibitory unit I is studied. The membrane potential of the neuron A is described by a jump diffusion model. Several types of interspike interval distributions of the excitatory strong inputs are considered as Poissonian inhibitory inputs increase intensity. It is shown that, independently of the distribution of the excitatory inpu, they are more efficiently transmitted as inhibition increases to larger intensities.

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Authors and Affiliations

  1. Department of Mathematics, University of Torino, Via Carlo Alberto 10, 10123 Torino, Italy

    Roberta Sirovich & Laura Sacerdote

  2. Neuroheuristics Research Group, University Joseph Fourier Grenoble 1, Equipe NanoNeurosciences Fondamentales et Appliques, Grenoble Institut des Neurosciences - U 836 Inserm - UJF -CEA, France

    Roberta Sirovich & Alessandro E. P. Villa

Authors
  1. Roberta Sirovich
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  2. Laura Sacerdote
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  3. Alessandro E. P. Villa
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Francisco Sandoval Alberto Prieto Joan Cabestany Manuel Graña

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© 2007 Springer-Verlag Berlin Heidelberg

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Sirovich, R., Sacerdote, L., Villa, A.E.P. (2007). Effect of Increasing Inhibitory Inputs on Information Processing Within a Small Network of Spiking Neurons. In: Sandoval, F., Prieto, A., Cabestany, J., Graña, M. (eds) Computational and Ambient Intelligence. IWANN 2007. Lecture Notes in Computer Science, vol 4507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73007-1_4

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  • DOI: https://doi.org/10.1007/978-3-540-73007-1_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73006-4

  • Online ISBN: 978-3-540-73007-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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