期刊
NEURAL NETWORKS
卷 45, 期 -, 页码 111-116出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neunet.2013.02.009
关键词
Memristors; Neuromorphic engineering; Neural circuits; Brain-like engineered systems
资金
- EPSRC [EP/E064930/1, EP/E064930/2] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [EP/E064930/2, EP/E064930/1] Funding Source: researchfish
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. (C) 2013 Elsevier Ltd. All rights reserved.
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