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One of the main disabling features of Parkinson's disease (PD) is bradykinesia. Usually, bradykinesia is clinically assessed through the performance of an extremely simple motor task: the finger tapping task. This motor test correlates with the extent of loss of dopaminergic neurons in the substantia nigra, which is responsible for the triggering of Parkinson's disease (PD) and for the subsequent...
A novel transient field-circuit simulation method based on the time-domain integral equation (TDIE) and circuit macromodels is proposed. The traditional field-circuit simulation process constructs Kirchoff’s equations for linear or nonlinear lumped circuits, which cannot handle problems with unknown circuit structure. The proposed method creates parametric behavior macromodels to represent the port...
Spike time dependent plasticity (STDP) is synaptic conductivity modulation which is dependent upon the time difference between pre- and post-synaptic neuronal spikes. Superposition of extended waveforms from pre- and post-synaptic neurons has been proposed to apply a pre- vs. post-neuron spike time difference dependent voltage across an RRAM based synapse to implement STDP. Such long waveforms are...
In this paper the methods of integral differential-difference recognition of signals and square-pulse transformation of harmonic signals for detecting transients in power systems are described. The object of this work is the theory of signal processing disturbances in power lines when a leaps and short circuits occur.
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...
In this paper, we present a new method for modeling the nonlinear transient behavior of I/O buffers in high-speed PCB design. The proposed method expands the existing StateSpace Dynamic Neural Network (SSDNN) into a more generalized and efficient technique for modeling nonlinear behavior of I/O buffers. A Multi-Layer Perceptron (MLP) neural network with multiple hidden layers is combined with the...
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