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Rate stabilization through plasticity in spiking neuron network

机译:通过尖峰神经元网络中的可塑性来稳定速率

摘要

Apparatus and methods for activity based plasticity in a spiking neuron network adapted to process sensory input. In one embodiment, the plasticity mechanism may be configured for example based on activity of one or more neurons providing feed-forward stimulus and activity of one or more neurons providing inhibitory feedback. When an inhibitory neuron generates an output, inhibitory connections may be potentiated. When an inhibitory neuron receives inhibitory input, the inhibitory connection may be depressed. When the inhibitory input arrives subsequent to the neuron response, the inhibitory connection may be depressed. When input features are unevenly distributed in occurrence, the plasticity mechanism is capable of reducing response rate of neurons that develop receptive fields to more prevalent features. Such functionality may provide network output such that rarely occurring features are not drowned out by more widespread stimulus.
机译:用于在尖峰神经元网络中基于活动的可塑性的设备和方法,其适于处理感觉输入。在一实施例中,可塑性机制可例如基于提供前馈刺激的一个或多个神经元的活动和提供抑制反馈的一个或多个神经元的活动来配置。当抑制神经元产生输出时,抑制连接可能被增强。当抑制神经元接收到抑制输入时,抑制连接可能会被压低。当抑制输入在神经元响应之后到达时,抑制连接可能被按下。当输入特征发生不均匀分布时,可塑性机制能够降低将接受区域发展为更普遍特征的神经元的响应率。这样的功能可以提供网络输出,使得很少出现的特征不会被更广泛的刺激所淹没。

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