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Based on the information processing functionalities of spiking neurons, a spiking neural network model is proposed to extract features from a visual image. The network is constructed with a conductance-based integrate-and-fire neuron model and a set
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神经元网络延时反馈程序，证明局部神经元延时反馈可以激发周围神经元产生spiking放电或bursting放电-Delayed feedback neural network program, proof of local neuronal delayed feedback can stimulate peripheral neurons spiking discharge or bursting
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spiking neural network and fpga implementation
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Tempotron算法简单实现，Spiking神经网络初学，实现的学习算法-Tempotron algorithm is simple to achieve, Spiking Neural Network beginner to achieve learning algorithm
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This GUi implements the Eugene Izhikevich (2003) spiking equation.
Spiking Neurons simulator
Easily Simulate a Customizable Network of Spiking Leaky Integrate and Fire Neurons
Simulation of an STDP-based constructive algorithm for spiking neura
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In order to account for the rapidity of visual processing, we explore visual coding
strategies using a one-pass feed-forward spiking neural network.We based our model
on the work of Van Rullen and Thorpe, which constructs a retinal representation
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document for Encoding Spike Patterns in Multilayer Spiking Neural Networks
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