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Adaptive Neuromorphic Architecture (ANA).

Authors :
Wang, Frank Zhigang
Chua, Leon O.
Yang, Xiao
Helian, Na
Tetzlaff, Ronald
Schmidt, Torsten
Li, Caroline
Carrasco, Jose Manuel Garcia
Chen, Wanlong
Chu, Dominique
Source :
Neural Networks. Sep2013, Vol. 45, p111-116. 6p.
Publication Year :
2013

Abstract

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. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
08936080
Volume :
45
Database :
Academic Search Index
Journal :
Neural Networks
Publication Type :
Academic Journal
Accession number :
89509937
Full Text :
https://doi.org/10.1016/j.neunet.2013.02.009