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Izhikevich network is a relatively new neuronal network, which consists of cortical spiking model neurons with axonal conduction delays and spike-timing-dependent plasticity (STDP) with hard bound adaptation. In this work, we use uniform and Gaussian distributions respectively to initialize the weights of all excitatory neurons. After the network undergoes(More)
This work presents the mimicking of the main rhythmic gait patterns of a quadrupedal animal as an illustration of a novel approach to the prediction and generation of coupled neural oscillation. Based on Scheduling by Multiple Edge Reversal (SMER), a simple though powerful distributed algorithm, it is shown how oscillatory building blocks (OBBs) can be(More)
A novel grouping Particle Swarm Optimization (PSO) algorithm(for short GPSO) is proposed in this paper to solve the problem of premature convergence of PSO algorithm for multi-mode and high-dimension functions. In this algorithm, the solution space of an optimization problem is divided into Q subspaces. N particles are assigned to each subspace, and a total(More)
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