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Noise modulation by stochastic neurons of the integrate-and fire type

  • Neural Modeling (Biophysical and Structural Models)
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Foundations and Tools for Neural Modeling (IWANN 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1606))

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Abstract

We study the noise properties of a population of spiking neurons of the integrate-and-fire type. We derive an analytical solution for homogeneous network of neurons with relative refractoriness. We show that anticorrelations in the firings decrease the noise in a frequency band that can extend beyond the single neuron frequency.

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José Mira Juan V. Sánchez-Andrés

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© 1999 Springer-Verlag Berlin Heidelberg

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Spiridon, M., Gerstner, W. (1999). Noise modulation by stochastic neurons of the integrate-and fire type. In: Mira, J., Sánchez-Andrés, J.V. (eds) Foundations and Tools for Neural Modeling. IWANN 1999. Lecture Notes in Computer Science, vol 1606. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0098182

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  • DOI: https://doi.org/10.1007/BFb0098182

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66069-9

  • Online ISBN: 978-3-540-48771-5

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