Numerical Solutions and Their Error Bounds for Oscillatory Neural Networks

B. Zubik-Kowal

doi:10.1007/978-3-319-16727-5_58

Numerical Solutions and Their Error Bounds for Oscillatory Neural Networks

B. Zubik-Kowal

Mathematics Department

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Error bounds are derived for an iterative process constructed for a thalamocortical mathematical model. The model describes a new architecture for a neurocomputer. A series of numerical simulations demonstrate the theoretical results.

Original language	English
Title of host publication	Integral Methods in Science and Engineering
Subtitle of host publication	Theoretical and Computational Advances
Pages	701-710
Number of pages	10
ISBN (Electronic)	9783319167275
DOIs	https://doi.org/10.1007/978-3-319-16727-5_58
State	Published - 2015

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abstract = "Error bounds are derived for an iterative process constructed for a thalamocortical mathematical model. The model describes a new architecture for a neurocomputer. A series of numerical simulations demonstrate the theoretical results.",

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Numerical Solutions and Their Error Bounds for Oscillatory Neural Networks

Abstract

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