Adaptive Neuromorphic Architecture (ANA)

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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. © 2013 Elsevier Ltd.

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Wang, F. Z., Chua, L. O., Yang, X., Helian, N., Tetzlaff, R., Schmidt, T., … Chu, D. (2013). Adaptive Neuromorphic Architecture (ANA). Neural Networks, 45, 111–116. https://doi.org/10.1016/j.neunet.2013.02.009

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