Probabilistic Spiking Neuronal Nets
portes grátis
Probabilistic Spiking Neuronal Nets
Neuromathematics for the Computer Era
Pouzat, Christophe; Loecherbach, Eva; Galves, Antonio
Springer International Publishing AG
11/2024
199
Mole
9783031684081
Pré-lançamento - envio 15 a 20 dias após a sua edição
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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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mathematical neuroscience;mathematical statistics;spiking neurons;stochastic chains;probability;chains with memory of variable length
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
