New class of reduced computationally efficient neuronal models for large-scale simulations of brain dynamics

DOI10.1007/s10827-017-0663-7zbMath1402.92094OpenAlexW2771558206WikidataQ46013948 ScholiaQ46013948MaRDI QIDQ1628205

Maxim Komarov, Sylvain Chauvette, Maxim Bazhenov, Giri Krishnan, Igor Timofeev, Nikolai F. Rul'kov

Publication date: 4 December 2018

Published in: Journal of Computational Neuroscience (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10827-017-0663-7

zbMATH Keywords

large-scale simulationsslow-wave sleep oscillationsup and down states

Mathematics Subject Classification ID

Neural biology (92C20)

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

Cites Work

• Elements of applied bifurcation theory.
• The role of axonal delay in the synchronization of networks of coupled cortical oscillators
• Subthreshold oscillations in a map-based neuron model
• Synaptic organizations and dynamical properties of weakly connected neural oscillators. I: Analysis of a canonical model
• Modeling of spiking-bursting neural behavior using two-dimensional map
• Introduction to Theoretical Neurobiology
• A Population Study of Integrate-and-Fire-or-Burst Neurons
• ORIGIN OF CHAOS IN A TWO-DIMENSIONAL MAP MODELING SPIKING-BURSTING NEURAL ACTIVITY

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