Adaptive Neuromorphic Architecture (ANA)

Wang, Frank Z. and Chua, Leon O. and Yang, Xiao and Helian, Na and Tetzlaff, Ronald and Schmidt, Schmidt and Li, Ling and Carrasco, Jose Manuel Garcia and Chen, Wanlong and Chu, Dominique (2013) Adaptive Neuromorphic Architecture (ANA). Neural Networks, 45 (1). pp. 111-116. ISSN 0893-6080. (doi:https://doi.org/10.1016/j.neunet.2013.02.009) (Access to this publication is currently restricted. You may be able to access a copy if URLs are provided)

Abstract

We designed Adaptive Neuromorphic Architecture (ANA) that self-adjusts its inherent parameters (for instance, the resonant frequency) naturally following the stimuli frequency. Such an architecture is required for brain-like engineered systems because some parameters of the stimuli (for instance, the stimuli frequency) are not known in advance. Such adaptivity comes from a circuit element with memory, namely mem-inductor or mem-capacitor (memristor’s sisters), which is history-dependent in its behavior. As a hardware model of biological systems, ANA can be used to adaptively reproduce the observed biological phenomena in amoebae.

Item Type: Article
Uncontrolled keywords: Memristors Neuromorphic engineering Neural circuits Brain-like engineered systems
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions: Faculties > Sciences > School of Computing > Data Science
Depositing User: Frank Wang
Date Deposited: 18 Apr 2013 14:19 UTC
Last Modified: 26 Apr 2018 09:57 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/33638 (The current URI for this page, for reference purposes)
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