Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
406499 | Neural Networks | 2013 | 6 Pages |
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Frank Zhigang Wang, Leon O. Chua, Xiao Yang, Na Helian, Ronald Tetzlaff, Torsten Schmidt, Caroline Li, Jose Manuel Garcia Carrasco, Wanlong Chen, Dominique Chu,