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Recent studies have focused on modeling the response of the early auditory processing stages to sound stimuli. However, the influence of sound on the higher stages like the auditory thalamus are not well identified. To understand how different sound stimuli affect the response of neurons in these higher stages, it is necessary to model the auditory pathway from the auditory nerve (AN) through the...
The phenomenon of metal-insulator-transition (MIT) in strongly correlated oxides, such as NbO2, have shown the oscillation behavior in recent experiments. In this work, the MIT based two-terminal device is proposed as a compact oscillation neuron for the parallel read operation from the resistive synaptic array. The weighted sum is represented by the frequency of the oscillation neuron. Compared to...
The neurons as living cells work as essentially nonlinear oscillators or spike generators. In the case of a particular model the "ideal", the till acceptable i.e. "Healthy", and the impaired ("sick") operation of a neuron can be represented by appropriate parameter settings. A practically interesting control task may be forcing the motion of a "sick" neuron...
This paper describes hardware implementation of two integrate-and-fire type neuron models for spike based computing: pulse-coupled phase oscillator networks and spiking neural networks. A coupled Markov random field model for image region segmentation can be implemented using a pulse-coupled phase oscillator network. Multiply-and-accumulation calculation can be performed using rise timing of responses...
This paper presents a kind of biomimetic neural circuit for simulating and implementing sidewinding of a snakelike robot. Biologically inspired by the neural circuit diagram in the spinal cord of lampreys, we propose a neural oscillator model and a chained inhibitory neural circuit. A set of leaky integrator type and sigmoid type interneurons is incorporated into the design of the neural diagram for...
Due to the measurement techniques developed, it is now possible to observe signals at different levels in neural structures. These observations give rise to increasing works dealing with setting up the relation between such signals and cognitive processes, neurodegenerative diseases and neurobehavioral disorders. Computational neuroscience is becoming more influential in investigating the mechanisms...
The paper considers a class of one-dimensional circular standard cellular neural network (CNN) arrays with a typical three-segment piecewise linear activation and two-sided cooperative (positive) interactions (a cooperative CNN ring). Numerical simulations show that in a wide range of interconnection parameters, and for a wide set of initial conditions, the solutions of a cooperative CNN ring display...
Autonomic oscillatory activities exist in almost every living thing and most of them are produced by rhythmic activities of the corresponding neural system. This paper proposes a neural oscillator based on the control of a Schmitt Trigger. The oscillator implements 3 neuron cells and 4 synapse circuits, and integrates them into a compact neural network with a source neuron driving two oscillating...
An analog architecture of optic signal processing is presented in this work, with the goal to emulate one of the much processes involved in a biological retina. Here we have considered that the receptive field is the main unit of processing in the visual system. So, the proposed architecture tries to give partial solution to the properties of a receptive field in order to give some help to people...
Nanotechnology is more and more attracting worldwide attention and is deemed to be one of the major future technologies, especially in medical sciences. For medical use, Nanoparticles (NPs) offer a wide spectrum of applications since they seem to be able to move through organic tissue without barriers. This can be beneficial on the one hand and can bear risks on the other. Nanotoxicity research has...
Using an analog electrical FitzHugh-Nagumo neuron including complex threshold excitation (CTE) properties, we analyze its spiking responses under pulse stimulation corresponding to oscillating threshold manifold. The system is subjected to outside pulse stimulus and can generate nonlinear integrate-and-fire and resonant responses which are typical for excitable neuronal cells ("all-or-none")...
This paper discusses the implications of noises in a pulse-density modulation single-electron circuit based on vestibulo-ocular reflex model. The proposed circuit consists of an ensemble of single-electron integrate-and-fire neurons that encode the input voltage into pulses whose temporal density is proportional to the amplitude of the input. We confirmed that static noises (heterogeneity in circuit...
It is well known that locomotion rhythms of living organisms are generated by CPG (central pattern generator). In this paper, we discuss the synchronization phenomena and oscillation patterns of the coupled oscillators system using pulse-type hardware neuron models (P-HNMs) for the purpose of constructing the CPG model. It is shown that the plural coupled P-HNMs connected by excitatory-inhibitory...
In this paper an approach to behavioral modeling of microwave oscillators is described. The presented model takes into account start-up, steady state behavior and phase noise. To describe the nonlinearities, an artificial neural network (ANN) is employed. The dynamic behavior of the oscillator is described by a system of differential equations that are solved in VHDL-AMS. As opposed to input-output...
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