Potential-Dependent Topological Modes in the Mercury Beating Heart System

Verma, Dinesh Kumar; Contractor, A.Q.; Parmananda, P.

doi:10.1021/jp3095038

Cited by 31 publications

(30 citation statements)

References 10 publications

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“…For all details about the arising nonlinear dynamics, including the basic underlying chemistry, the reader is here addressed to the relevant literature which can be found in Refs. [17][18][19].…”

Section: Methodsmentioning

confidence: 99%

Experimental evidence of explosive synchronization in mercury beating-heart oscillators

et al. 2015

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We report experimental evidence of explosive synchronization in coupled chemo-mechanical systems, namely in mercury beating-heart (MBH) oscillators. Connecting four MBH oscillators in a star network configuration and setting natural frequencies of each oscillator in proportion to the number of its links, a gradual increase of the coupling strength results in an abrupt and irreversible (first-order-like) transition from the system's unordered to ordered phase. On its turn, such a transition indicates the emergence of a bistable regime wherein coexisting states can be experimentally revealed. Finally, we prove how such a regime allows an experimental implementation of magneticlike states of synchronization, by the use of an external signal.

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Section: Methodsmentioning

confidence: 99%

Experimental evidence of explosive synchronization in mercury beating-heart oscillators

et al. 2015

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“…the drop behaved like a parametric oscillator. Our group has also reported oscillations of liquid metal subjected to different perturbations [14][15][16][17]. Despite the fact that the liquid drops in these works were subjected to different perturbations, due to the identical underlying hydrodynamic principles, similar star shaped oscillations were observed in all cases.…”

mentioning

confidence: 88%

Sounds of Leidenfrost drops

Singla

Rivera

2020

Phys. Rev. Fluids

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“…103 Different topological modes of these oscillations usually generate specific signal patterns, which are best reflected in the complex Fourier spectra of the recorded electrochemical signals. 104 Moreover, electrically agitated liquid metal drops have already found application as unconventional circuit elements, but so far have not been coupled with the memristive device. [105][106]…”

Section: Electrochemical Spiking Neuronsmentioning

confidence: 99%

“…Refs. [103][104] ). 152 This phenomenon can be explained in terms of stochastic resonance 158 and indicates the potential of liquid metal electrochemical oscillators as a sensing element ( Figure 16).…”

Section: Memristive Reservoirsmentioning

confidence: 99%

Towards synthetic neural networks: can artificial electrochemical neurons be coupled with artificial memristive synapses?

Wlaźlak

Przyczyna

Gutiérrez

et al. 2020

Jpn. J. Appl. Phys.

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The enormous amount of data generated nowadays worldwide is increasingly triggering the search for unconventional and more efficient ways of processing and classifying information, eventually able to transcend the conventional von-Neumann-Turing computational central dogma. It is, therefore, greatly appealing to draw inspiration from less conventional but computationally more powerful systems such as the neural architecture of the human brain.This neuromorphic route has the potential to become one of the most influential and long-lasting paradigms in the field of unconventional computing. The material-based workhorse for current hardware platforms is largely based on standard CMOS technologies, intrinsically following the above mentioned von-Neumann-Turing prescription; we do know, however, that the brain hardware operates in a massively parallel way through a densely interconnected physical network of neurons. This requires challenging the intrinsic definition of the single units and the architecture of computing machines. Memristive and the recently proposed memfractive systems have been shown to display basic features of neural systems such as synaptic-like plasticity and memory features, so that they may offer a diverse playground to implement synaptic connections. Their combination with reservoir computing approaches can further increase their versatility since reservoir networks do not require extra optimization of internal connections. In this review, we address various material-based strategies of implementing unconventional computing hardware: (i) electrochemical oscillators based on liquid metals and (ii) mem-devices exploiting Schottky barrier modulation in polycrystalline and disordered structures made of oxide or perovskite-type semiconductors. Both items (i) and (ii) build the two pillars of neuromimetic computing devices, which we will denote as synthetic neural networks. We complement the more experimental aspects of the review with an overview of few atomistic and phenomenological modelling approaches of memdevices as well as of reservoir computing networks. We expect that the current review will be of great interest for scientists aiming at bridging unconventional computing strategies with specific materials-based platforms.

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Potential-Dependent Topological Modes in the Mercury Beating Heart System

Cited by 31 publications

References 10 publications

Experimental evidence of explosive synchronization in mercury beating-heart oscillators

Experimental evidence of explosive synchronization in mercury beating-heart oscillators

Sounds of Leidenfrost drops

Towards synthetic neural networks: can artificial electrochemical neurons be coupled with artificial memristive synapses?

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