Adaptive neuromorphic architecture (ANA)

Frank Wang; Leon O.  Chua; Xiao Yang; Na Helian; Ronald Tetzlaff; Torsten Schmidt; Caroline Li; Jose Manuel Garcia Carrasco; Wanlong Chen; Dominique Chu

Adaptive neuromorphic architecture (ANA)

Frank Wang, Leon O. Chua, Xiao Yang, Na Helian, Ronald Tetzlaff, Torsten Schmidt, Caroline Li, Jose Manuel Garcia Carrasco, Wanlong Chen, Dominique Chu

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Pages (from-to)	111-116
Journal	Neural Networks
Volume	45
Publication status	Published - 1 Sept 2013

Cite this

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title = "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{\textquoteright}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.",

author = "Frank Wang and Chua, {Leon O.} and Xiao Yang and Na Helian and Ronald Tetzlaff and Torsten Schmidt and Caroline Li and Carrasco, {Jose Manuel Garcia} and Wanlong Chen and Dominique Chu",

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T1 - Adaptive neuromorphic architecture (ANA)

AU - Wang, Frank

AU - Chua, Leon O.

AU - Yang, Xiao

AU - Helian, Na

AU - Tetzlaff, Ronald

AU - Schmidt, Torsten

AU - Li, Caroline

AU - Carrasco, Jose Manuel Garcia

AU - Chen, Wanlong

AU - Chu, Dominique

PY - 2013/9/1

Y1 - 2013/9/1

N2 - 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.

AB - 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.

UR - https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=75b40ed9ad09c96621ff944dcc17c0d3f8778279

M3 - Article

SN - 0893-6080

VL - 45

SP - 111

EP - 116

JO - Neural Networks

JF - Neural Networks

ER -

Adaptive neuromorphic architecture (ANA)

Abstract

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