Description

Book Synopsis

A Neurophysiology Primer for Mathematicians.- A Discrete Time Stochastic Neural Network Model.- Mean Field Limits for Discrete Time Stochastic Neural Network Models.- But Time is Continuous!.- Models without Reset: Hawkes Processes.- What is a Stationary State in a Potentially Infinite System?.- Statistical Estimation of the Interaction Graph.- Mean Field Limits and Short-Term Synaptic Facilitation in Continuous Time Models.- A Non-Exhaustive List of Some Open Questions.- Appendix A.- Appendix B.- Appendix C.- Appendix D.- Appendix E.- Appendix F.- References.- Index.

Probabilistic Spiking Neuronal Nets

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    A Paperback by Antonio Galves

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      View other formats and editions of Probabilistic Spiking Neuronal Nets by Antonio Galves

      Publisher: Springer
      Publication Date: 17/10/2024
      ISBN13: 9783031684081, 978-3031684081
      ISBN10:

      Description

      Book Synopsis

      A Neurophysiology Primer for Mathematicians.- A Discrete Time Stochastic Neural Network Model.- Mean Field Limits for Discrete Time Stochastic Neural Network Models.- But Time is Continuous!.- Models without Reset: Hawkes Processes.- What is a Stationary State in a Potentially Infinite System?.- Statistical Estimation of the Interaction Graph.- Mean Field Limits and Short-Term Synaptic Facilitation in Continuous Time Models.- A Non-Exhaustive List of Some Open Questions.- Appendix A.- Appendix B.- Appendix C.- Appendix D.- Appendix E.- Appendix F.- References.- Index.

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