Analyzing neuronal networks using discrete-time dynamics

DOI10.1016/j.physd.2009.12.011zbMath1186.92006OpenAlexW2081259558WikidataQ40366522 ScholiaQ40366522MaRDI QIDQ964886

Brian H. Smith, Sungwoo Ahn, Alla Borisyuk, David H. Terman

Publication date: 21 April 2010

Published in: Physica D (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2864597

zbMATH Keywords

olfactory systemtransient synchrony

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) Neural biology (92C20) Dynamical systems in biology (37N25) Psychophysics and psychophysiology; perception (91E30)

Related Items (4)

SOLITONS AND CONSERVATION LAWS IN NEUROSCIENCES ⋮ Approximating network dynamics: some open problems ⋮ Lengths of Attractors and Transients in Neuronal Networks with Random Connectivities ⋮ Relating the sequential dynamics of excitatory neural networks to synaptic cellular automata

Cites Work

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• Chaotic Spikes Arising from a Model of Bursting in Excitable Membranes
• Odor-Driven Attractor Dynamics in the Antennal Lobe Allow for Simple and Rapid Olfactory Pattern Classification
• NEURAL EXCITABILITY, SPIKING AND BURSTING
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