首页>
外国专利>
Spiking model to learn arbitrary multiple transformations for a self-realizing network
Spiking model to learn arbitrary multiple transformations for a self-realizing network
展开▼
机译:尖峰模型可学习用于自实现网络的任意多次转换
展开▼
页面导航
摘要
著录项
相似文献
摘要
A neural network, wherein a portion of the neural network comprises: a first array having a first number of neurons, wherein the dendrite of each neuron of the first array is provided for receiving an input signal indicating that a measured parameter gets closer to a predetermined value assigned to said neuron; and a second array having a second number of neurons, wherein the second number is smaller than the first number, the dendrite of each neuron of the second array forming an excitatory STDP synapse with the axon of a plurality of neurons of the first array; the dendrite of each neuron of the second array forming an excitatory STDP synapse with the axon of neighboring neurons of the second array.
展开▼