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Neuromorphic event-driven multi-scale synaptic connectivity and plasticity

机译:神经形态事件驱动的多尺度突触连接性和可塑性

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Neural computation and communication in the brain are partitioned into the grey matter of dense local synaptic connectivity in tightly knit neuronal networks, and the white matter of sparse long-range connectivity over axonal fiber bundles across distant brain regions. This exquisite distributed multiscale organization provides inspiration to the design of scalable neuromorphic systems for deep learning and inference, with hierarchical address event-routing of neural spike events and multiscale synaptic connectivity and plasticity, and their efficient implementation in low-power mixed-signal VLSI circuits.
机译:大脑中的神经计算和交流被分成紧密编织的神经元网络中密集的局部突触连通性的灰质,以及跨越遥远的大脑区域的轴突纤维束稀疏的远程连通性的白质。这个精致的分布式多尺度组织为深度学习和推理的可扩展神经形态系统的设计提供了灵感,具有神经尖峰事件的分层地址事件路由,多尺度突触连接性和可塑性,以及它们在低功率混合信号VLSI电路中的高效实现。 。

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