On the computational power of circuits of spiking neurons

DOI10.1016/j.jcss.2004.04.001zbMath1076.68062OpenAlexW2120475512MaRDI QIDQ1765301

Wolfgang Maass, Henry Markram

Publication date: 23 February 2005

Published in: Journal of Computer and System Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcss.2004.04.001

zbMATH Keywords

generic cortical microcircuits

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Modes of computation (nondeterministic, parallel, interactive, probabilistic, etc.) (68Q10) Neural networks for/in biological studies, artificial life and related topics (92B20)

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Cites Work

• On the representation of multi-input systems: Computational properties of polynomial algorithms
• Structure theorems for nonlinear systems
• Spiking neurons and the induction of finite state machines.
• Fading memory and the problem of approximating nonlinear operators with Volterra series
• Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations
• Real-Time Computation at the Edge of Chaos in Recurrent Neural Networks
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