Adaptive Neuromorphic Architecture (ANA)

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.

DOI: 10.1016/j.neunet.2013.02.009

Extracted Key Phrases

6 Figures and Tables

Cite this paper

@article{Wang2013AdaptiveNA, title={Adaptive Neuromorphic Architecture (ANA)}, author={Frank Wang and Leon O. Chua and Xiao Yang and Na Helian and Ronald Tetzlaff and Torsten Schmidt and Caroline Li and Jos{\'e} M. Garc{\'i}a and Wanlong Chen and Dominique Chu}, journal={Neural networks : the official journal of the International Neural Network Society}, year={2013}, volume={45}, pages={111-6} }