Control of sampling rate in map-based models of spiking neurons

DOI10.1016/J.CNSNS.2018.01.021zbMath1470.92029OpenAlexW2790553294MaRDI QIDQ2207863

Nikolai F. Rul'kov, Alexander B. Neiman

Publication date: 23 October 2020

Published in: Communications in Nonlinear Science and Numerical Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cnsns.2018.01.021

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20)

Related Items (3)

Stochastic Spiking-Bursting Excitability and Transition to Chaos in a Discrete-Time Neuron Model ⋮ Large time step discrete-time modeling of sharp wave activity in hippocampal area CA3 ⋮ Stochastic sensitivity of attractors for a piecewise smooth neuron model

Uses Software

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Cites Work

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• Analysis of Noise-Induced Chaos-Order Transitions in Rulkov Model Near Crisis Bifurcations
• Transient sequences in a hypernetwork generated by an adaptive network of spiking neurons
• ORIGIN OF CHAOS IN A TWO-DIMENSIONAL MAP MODELING SPIKING-BURSTING NEURAL ACTIVITY
• METHODS OF THE QUALITATIVE THEORY FOR THE HINDMARSH–ROSE MODEL: A CASE STUDY – A TUTORIAL

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