Stimulus sensitivity of a spiking neural network model

DOI10.1007/s10955-017-1948-yzbMath1391.82045arXiv1709.06958OpenAlexW3102128646MaRDI QIDQ1753252

Julien Chevallier

Publication date: 28 May 2018

Published in: Journal of Statistical Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1709.06958

zbMATH Keywords

criticalityHawkes processtransmission of informationtime elapsed equation

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Interacting random processes; statistical mechanics type models; percolation theory (60K35) Neural nets applied to problems in time-dependent statistical mechanics (82C32) Critical phenomena in equilibrium statistical mechanics (82B27)

Cites Work

• Unnamed Item
• Some non asymptotic tail estimates for Hawkes processes
• Self-organized critical traffic in parallel computer networks
• Information transmission and criticality in the contact process
• Mean-field limit of generalized Hawkes processes
• The criticality hypothesis: how local cortical networks might optimize information processing
• Spectra of some self-exciting and mutually exciting point processes

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