Numerical Solutions and Their Error Bounds for Oscillatory Neural Networks

B. Zubik-Kowal ()
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B. Zubik-Kowal: Boise State University

Chapter Chapter 58 in Integral Methods in Science and Engineering, 2015, pp 701-710 from Springer

Abstract: Abstract Error bounds are derived for an iterative Volterra integro-differential equation process constructed for a thalamocortical mathematical model. The model describes a new architecture thalamo-cortical equations for a neurocomputer. A series neurocomputer of numerical simulations demonstrate the theoretical results.

Keywords: strongly joint nonlinear equations; thalamo-cortical systems; error bounds (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1007/978-3-319-16727-5_58

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