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

    Product form

    £98.99

    Includes FREE delivery

    RRP £109.99 – you save £11.00 (10%)

    Order before 4pm today for delivery by Tue 16 Jun 2026.

    A Paperback by Antonio Galves

    15 in stock


      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:
      Also in:
      Mathematics Applied mathematics

      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.

      Recently viewed products

      © 2026 Book Curl

        • American Express
        • Apple Pay
        • Diners Club
        • Discover
        • Google Pay
        • Maestro
        • Mastercard
        • PayPal
        • Shop Pay
        • Union Pay
        • Visa

        Login

        Forgot your password?

        Don't have an account yet?
        Create account