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Developing and applying a toolkit from a general neurocomputational framework

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Publication:1585184
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DOI10.1016/S0925-2312(99)00098-3zbMath0964.92002OpenAlexW1984160701MaRDI QIDQ1585184

Charles H. Anderson, Chris Eliasmith

Publication date: 19 July 2001

Published in: Neurocomputing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/s0925-2312(99)00098-3


zbMATH Keywords

representationline attractorneural integerneurocomputation


Mathematics Subject Classification ID

Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20)


Related Items (6)

Control of arm movement using population of neurons ⋮ Neural Representation of Probabilistic Information ⋮ Improving Spiking Dynamical Networks: Accurate Delays, Higher-Order Synapses, and Time Cells ⋮ Computing with Spikes: The Advantage of Fine-Grained Timing ⋮ Designing neural networks that process mean values of random variables ⋮ Encoding and decoding of analog signals with a population of neurons







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