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International Workshop on Artificial Neural Networks

IWANN 1995: From Natural to Artificial Neural Computation pp 166–173Cite as

A simple probabilistic neural model producing multimodal ISHs

  • Computational Models of Neurons and Neural Nets
  • Conference paper
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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 930))

Abstract

Simple probabilistic neural models can be used to study the information processing occurring in the brain. Suitable models have to reproduce complex Interspike Histograms (ISHs) observed experimentally, but have to be simple enough to allow theoretical analysis. The simple probabilistic integrate and fire model we present in this paper can be used to identify the origin of peaks appearing in complex multimodal ISHs.

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References

  1. F. Crick and C. Koch. “Some Reflections on Visual Awareness”. Cold Spring Habor Symposia on Quantitative Biology. Volume LV.

    Google Scholar 

  2. G.L. Gerstein y B. Mandelbrot (1964). “Random walk models for the spike activity of a single neuron”, Biophys. J., 4, pp. 41–68.

    Google Scholar 

  3. V. López, J.A. Sigüenza, J.R. Dorronsoro y S. Carrillo-Menendez. “Stochastic specificity in neural interaction”. Proceedings ICANN 93 pp 196–199. Eds. S. Gielen and B. Kappen Springer Verlag. 1993.

    Google Scholar 

  4. W. Feller “An Introduction to Probability Theory and Its Applications”. Vol. I, Ed. J. Wiley and Sons.

    Google Scholar 

  5. H. Tuckwell. “Stochastic Processes in the Neurosciencies”. SIAM (1989).

    Google Scholar 

  6. H.A. Braun, H. Wissing, K. Schäfer and M.Ch. Hirsch. “Oscillation and noise determine signal transduction in shark multimodal sensory cells”. Letters to Nature, Nature-Vol. 367-20 January 1994.

    Google Scholar 

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Authors and Affiliations

  1. Instituto de Ingeniería del Conocimiento, Universidad Autónoma de Madrid, Canto Blanco, Mod. C-XVI, P.4, 28049, Madrid, Spain

    Paul M. Hofman & Francisco B. Rodríguez

  2. Departamento de Ingeniería Informática, Universidad Autónoma de Madrid, Canto Blanco, 28049, Madrid, Spain

    Juan A. Sigüenza & Vicente López

  3. Departamento de Matemáticas, Universidad Autónoma de Madrid, Canto Blanco, 28049, Madrid, Spain

    Santiago Carrillo-Menendez

Authors
  1. Paul M. Hofman
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  2. Francisco B. Rodríguez
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  3. Juan A. Sigüenza
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  4. Vicente López
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  5. Santiago Carrillo-Menendez
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Editor information

José Mira Francisco Sandoval

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© 1995 Springer-Verlag Berlin Heidelberg

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Hofman, P.M., Rodríguez, F.B., Sigüenza, J.A., López, V., Carrillo-Menendez, S. (1995). A simple probabilistic neural model producing multimodal ISHs. In: Mira, J., Sandoval, F. (eds) From Natural to Artificial Neural Computation. IWANN 1995. Lecture Notes in Computer Science, vol 930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-59497-3_171

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  • DOI: https://doi.org/10.1007/3-540-59497-3_171

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-59497-0

  • Online ISBN: 978-3-540-49288-7

  • eBook Packages: Springer Book Archive

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