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首页> 外国专利> Spatio-temporal pattern recognition using a spiking neural network and processing thereof on a portable and/or distributed computer

Spatio-temporal pattern recognition using a spiking neural network and processing thereof on a portable and/or distributed computer

机译：使用尖峰神经网络的时空模式识别及其在便携式和/或分布式计算机上的处理

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A spiking neural network has a layer of connected neurons exchanging signals. Each neuron is connected to at least one other neuron. A neuron is active if it spikes at least once during a time interval. Time-varying synaptic weights are computed between each neuron and at least one other neuron connected thereto. These weights are computed according to a number of active neurons that are connected to the neuron. The weights are also computed according to an activity of the spiking neural network during the time interval. Spiking of each neuron is synchronized according to a number of active neurons connected to the neuron and according to the weights. A pattern is submitted to the spiking neural network for generating sequences of spikes, which are modulated over time by the spiking synchronization. The pattern is characterized according to the sequences of spikes generated in the spiking neural network.
机译：尖刺神经网络具有一层交换信号的连接神经元。每个神经元连接到至少一个其他神经元。如果神经元在一个时间间隔内至少尖峰一次，则它是活动的。在每个神经元和与其连接的至少一个其他神经元之间计算随时间变化的突触权重。根据连接到神经元的活动神经元的数量来计算这些权重。还根据该时间间隔内尖峰神经网络的活动来计算权重。根据连接到神经元的活动神经元的数量和权重，同步每个神经元的信号。将模式提交给尖峰神经网络以生成尖峰序列，这些尖峰序列会随着尖峰同步随时间进行调制。该模式根据在尖峰神经网络中生成的尖峰序列进行表征。

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