Synaptic energy drives the information processing mechanisms in spiking neural networks

DOI10.3934/MBE.2014.11.233zbMath1279.92012OpenAlexW2320643308WikidataQ51140484 ScholiaQ51140484MaRDI QIDQ395727

Martin Bogdan, Karim El Laithy

Publication date: 30 January 2014

Published in: Mathematical Biosciences and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/mbe.2014.11.233

zbMATH Keywords

dynamic networksdynamic synapsesneural statessynaptic energy

Mathematics Subject Classification ID

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

Cites Work

• Unnamed Item
• Phenomenological models of synaptic plasticity based on spike timing
• Neural networks and physical systems with emergent collective computational abilities.
• Polychronization: Computation with Spikes

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