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    • 7. 发明申请
    • LOW-POWER EVENT-DRIVEN NEURAL COMPUTING ARCHITECTURE IN NEURAL NETWORKS
    • 神经网络中的低功率事件驱动神经计算体系结构
    • US20140114893A1
    • 2014-04-24
    • US13149754
    • 2011-05-31
    • John V. ArthurPaul A. MerollaDharmendra S. Modha
    • John V. ArthurPaul A. MerollaDharmendra S. Modha
    • G06N3/08
    • G06N3/08G06N3/049G06N3/063G11C11/54
    • A neural network includes an electronic synapse array of multiple digital synapses interconnecting a plurality of digital electronic neurons. Each synapse interconnects an axon of a pre-synaptic neuron with a dendrite of a post-synaptic neuron. Each neuron integrates input spikes and generates a spike event in response to the integrated input spikes exceeding a threshold. A decoder receives spike events sequentially and transmits the spike events to selected axons in the synapse array. An encoder transmits spike events corresponding to spiking neurons. A controller coordinates events from the synapse array to the neurons, and signals when neurons may compute their spike events within each time step, ensuring one-to-one correspondence with an equivalent software model. The synapse array includes an interconnecting crossbar that sequentially receives spike events from axons, wherein one axon at a time drives the crossbar, and the crossbar transmits synaptic events in parallel to multiple neurons.
    • 神经网络包括互连多个数字电子神经元的多个数字突触的电子突触阵列。 每个突触将突触前神经元的轴突与突触后神经元的枝晶相互连接。 每个神经元集成了输入尖峰,并响应于超过阈值的积分输入尖峰而产生尖峰事件。 解码器顺序地接收尖峰事件并将突发事件发送到突触阵列中的选定轴突。 编码器发送对应于尖峰神经元的尖峰事件。 控制器协调从突触阵列到神经元的事件,并且当神经元可以在每个时间步长内计算它们的尖峰事件时,发出信号,确保与等效的软件模型一一对应。 突触阵列包括从轴突顺序地接收尖峰事件的互连交叉开关,其中一次轴突一次驱动交叉开关,并且交叉开关将突触事件平行地传送到多个神经元。