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ARTIFICIAL NEURAL NETWORK AND PERCEPTRON LEARNING USING SPIKING NEURONS
ARTIFICIAL NEURAL NETWORK AND PERCEPTRON LEARNING USING SPIKING NEURONS
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机译:尖峰神经元的人工神经网络和感知器学习
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摘要
A method for communicating a non-binary value in a spiking neural network includes encoding, with an encoder, a non-binary value as one or more spikes of at least one pre-synaptic neuron in a temporal frame. The method also includes computing a value with a decoder matched to the encoder. The value is computed by at least one post-synaptic neuron. The value is based on at least one synaptic weight and on the encoded spikes received from the pre-synaptic neuron.
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