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Output details

11 - Computer Science and Informatics

University of Kent

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Output 17 of 117 in the submission

Article title

Adaptive Neuromorphic Architecture (ANA)

Type

D - Journal article

DOI

10.1016/j.neunet.2013.02.009

Title of journal

Neural Networks

Article number

Volume number

Issue number

First page of article

111

ISSN of journal

08936080

Year of publication

2013

URL

Number of additional authors

Additional information

<01> The Adaptive Neuromorphic Architecture (ANA) described here self-adjusts its inherent parameters following the external ones that are normally not known in advance. ANA can be used in situations in which it is impossible or infeasible to solve the problems with conventional approaches. Such adaptivity comes from a revolutionary circuit element with memory, namely mem-inductor or mem-capacitor. This work, co-authored with Chua (Berkeley/Kent) applies the theory developed in Output 3, in which memristor as well as mem-capacitor and mem-inductor lead three basic element classes. It is also based on our discovered “delayed switching effect” described in Output 1.

Interdisciplinary

Cross-referral requested

Research group

F - Future Computing Group

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract