Adaptive Neuromorphic Architecture (ANA)

Citations of this article
Mendeley users who have this article in their library.
Get full text


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.




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.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free