Array-Enhanced Stochastic Resonance in a Network of Noisy Neuromorphic Circuits

Tovar, Gessyca Maria; Asai, Tetsuya; Amemiya, Yoshihito

doi:10.1007/978-3-642-17537-4_24

Cited by 1 publication

(3 citation statements)

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“…On the other hand, defining internal noise is difficult because it is cumbersome to extract and control internal noise intensity directly in SR and CR systems. In [18,19], the coupling strength was defined as the noise quantity. Hence, in this study, we defined the output signal power including internal fluctuations as the noise quantity.…”

Section: Summary and Discussionmentioning

confidence: 99%

“…Indeed, biological systems effectively utilize the noise generated by their own dynamics to invoke SR, and this mechanism has previously been investigated [18,19]. Among such SR driven by self-generated noises, chaotic resonance (CR) has been spotlighted in the literature [20][21][22][23][24].…”

Section: Introductionmentioning

confidence: 99%

“…Hence, we employed Chua's oscillator as a candidate CR system. hance the correlation value for a wide range of noise intensity levels in SR [19,27], we evaluate a network that consists of arrayed Chua's oscillators, and show that the network enhances the correlation values. This paper is organized as follows.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Chaotic Resonance in Forced Chua^|^apos;s Oscillators

Ishimura

Asai

Motomura

2013

Journal of Signal Processing

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Stochastic resonance (SR) is a phenomenon in which dynamic noise is effectively used to induce state transitions in a double-well potential system driven by subthreshold input signals. The noises are supplied to the system as an additional force. Recently, a phenomenon called "chaotic resonance" (CR) has been spotlighted in the literature. CR can be observed in chaotic systems that have multiple strange attractors and the ability to accept subthreshold input signals; i.e., such CR systems do not require any external noise source, unlike traditional SR systems. In this study, we employed Chua's oscillator as a candidate CR system. The oscillator was driven by a sinusoidal voltage source providing subthreshold input signals. In a certain range of input signal frequencies, we observed chaotic state transitions between the two attractors, whereas no state transition between the attractors was observed in the remaining frequency range. These findings indicated that chaotic fluctuations assisted the state transition. Furthermore, we observed nonmonotonic CR characteristics (correlation value and signal-to-noise ratio between the input signal and the output signal) that corresponded to typical nonmonotonic SR curves.

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Section: Summary and Discussionmentioning

confidence: 99%