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    • 10. 发明申请
    • A NEUROMORPHIC COMPUTING DEVICE, MEMORY DEVICE, SYSTEM, AND METHOD TO MAINTAIN A SPIKE HISTORY FOR NEURONS IN A NEUROMORPHIC COMPUTING ENVIRONMENT
    • 一种神经形态计算装置,存储装置,系统和方法,用于在神经形态计算环境中维持神经元的刺激历史
    • WO2018057896A1
    • 2018-03-29
    • PCT/US2017/052965
    • 2017-09-22
    • INTEL CORPORATION
    • WU, WeiAUGUSTINE, CharlesPAUL, Somnath
    • G06N3/063G11C11/413
    • Provided are a neuromorphic computing device, memory device, system, and method to maintain a spike history for neurons in a spiking neural network. A neural network spike history is generated in a memory device having an array of rows and columns of memory cells. There is one row of the rows for each of a plurality of neurons and columns for each of a plurality of time slots. Indication is made in a current column in the row of the memory cells for a firing neuron that a spike was fired. Indication is made in the current column in rows of memory cells of idle neurons that did not fire that a spike was not fired. Information in the array is used to determine a timing difference between a connected neuron and the firing neuron and to adjust a weight of the connecting synapse.
    • 提供了一种神经形态计算设备,存储设备,系统和方法,用于维持尖峰神经网络中的神经元的尖峰历史。 在具有存储器单元的行和列的阵列的存储器装置中产生神经网络尖峰历史。 针对多个时隙中的每一个的多个神经元和列中的每一个存在一行的行。 在发射峰值的发射神经元的存储器单元的行中的当前列中进行指示。 在当前列中指示闲置神经元的存储器单元行中没有触发尖峰未被触发的指示。 阵列中的信息用于确定连接的神经元和发射神经元之间的时间差,并调整连接突触的重量。