The investigation of chemical coupling in a HR neuron model with reconfigurable implementations

Korkmaz, Nimet; Öztürk, İsmail; Kılıç, Recai

doi:10.1007/s11071-016-2996-6

Cited by 34 publications

(17 citation statements)

References 60 publications

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“…Particularly, autapse modulation can be effective to induce coherence resonance 31 and further used for signal detection based on stochastic resonance 32 . Besides these theoretical neuron models, some researchers have designed effective neuronal circuits 33 34 35 36 37 38 to reproduce the electrical activities such as quiescent, spiking, bursting and even chaotic states, respectively. For a brief introduction in the field of neurodynamics, readers can refer to refs 39 , 40 and 41 and the references therein.…”

mentioning

confidence: 99%

Autaptic regulation of electrical activities in neuron under electromagnetic induction

Huang

Jia

et al. 2017

Sci Rep

128

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Realistic neurons may hold complex anatomical structure, for example, autapse connection to some internuncial neurons, which this specific synapse can connect to its body via a close loop. Continuous exchanges of charged ions across the membrane can induce complex distribution fluctuation of intracellular and extracellular charged ions of cell, and a time-varying electromagnetic field is set to modulate the membrane potential of neuron. In this paper, an autapse-modulated neuron model is presented and the effect of electromagnetic induction is considered by using magnetic flux. Bifurcation analysis and sampled time series for membrane potentials are calculated to investigate the mode transition in electrical activities and the biological function of autapse connection is discussed. Furthermore, the Gaussian white noise and electromagnetic radiation are considered on the improved neuron model, it is found appropriate setting and selection for feedback gain and time delay in autapse can suppress the bursting in neuronal behaviors. It indicates the formation of autapse can enhance the self-adaption of neuron so that appropriate response to external forcing can be selected, this biological function is helpful for encoding and signal propagation of neurons. It can be useful for investigation about collective behaviors in neuronal networks exposed to electromagnetic radiation.

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mentioning

confidence: 99%

Autaptic regulation of electrical activities in neuron under electromagnetic induction

Huang

Jia

et al. 2017

Sci Rep

128

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“…The next subsection investigates differences between the synchronously and asynchronously coupled CA phase oscillators for the cases in Eqs. ( 17) and (18).…”

Section: Target Gait Patternsmentioning

confidence: 99%

“…This is a nonlinear difference equation model of a bio-inspired system with a discrete time and continuous states (DTCS). A class DTCS bio-inspired model can be generally implemented in a switched capacitor circuit, e.g., [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

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Smooth gait transition in hardware-efficient CPG model based on asynchronous coupling of cellular automaton phase oscillators

Takeda

Torikai

2021

NOLTA

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In this paper, a central pattern generator (CPG) model based on asynchronous coupling of cellular automaton (CA) phase oscillators for a hexapod robot is presented. The presented CPG model is composed of the CA phase oscillators whose discrete state transitions are triggered by multiple asynchronous clocks. Then, evaluation functions to quantify synchronization states for target gait patterns in the presented CPG model are introduced. Analyzing the synchronizations using the evaluation functions, this paper clarifies that the presented CPG model is suitable to perform smooth gait transitions for the hexapod robot than a CPG model whose discrete state transitions are triggered by a single clock (i.e., synchronous coupling). The presented CPG model is implemented in a field programmable gate array (FPGA); experiments verify that the hexapod robot mounted with the FPGA, in which the presented CPG model is implemented, can perform smooth gait transitions.

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“…Ma et al [30][31][32] investigated the death and breakup of spiral wave in the neuronal network. With the deepening of research development, more and more achievements are observed [33][34][35][36][37]. Pinto et al [33] analyzed transitions between synchrony and asynchrony in both slow oscillations and fast spikes by adding artificial electrical coupling.…”

Section: Introductionmentioning

confidence: 99%

Mixed Stimulus-Induced Mode Selection in Neural Activity Driven by High and Low Frequency Current under Electromagnetic Radiation

et al. 2017

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The electrical activities of neurons are dependent on the complex electrophysiological condition in neuronal system, the threevariable Hindmarsh-Rose (HR) neuron model is improved to describe the dynamical behaviors of neuronal activities with electromagnetic induction being considered, and the mode transition of electrical activities in neuron is detected when external electromagnetic radiation is imposed on the neuron. In this paper, different types of electrical stimulus impended with a highlow frequency current are imposed on new HR neuron model, and mixed stimulus-induced mode selection in neural activity is discussed in detail. It is found that mode selection of electrical activities stimulated by high-low frequency current, which also changes the excitability of neuron, can be triggered owing to adding the Gaussian white noise. Meanwhile, the mode selection of the neuron electrical activity is much dependent on the amplitude of the high frequency current under the same noise intensity, and the high frequency response is selected preferentially by applying appropriate parameters and noise intensity. Our results provide insights into the transmission of complex signals in nerve system, which is valuable in engineering prospective applications such as information encoding.

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The investigation of chemical coupling in a HR neuron model with reconfigurable implementations

Cited by 34 publications

References 60 publications

Autaptic regulation of electrical activities in neuron under electromagnetic induction

Autaptic regulation of electrical activities in neuron under electromagnetic induction

Smooth gait transition in hardware-efficient CPG model based on asynchronous coupling of cellular automaton phase oscillators

Mixed Stimulus-Induced Mode Selection in Neural Activity Driven by High and Low Frequency Current under Electromagnetic Radiation

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