The BrainScaleS-2 Accelerated Neuromorphic System With Hybrid Plasticity.
The BrainScaleS-2 Accelerated Neuromorphic System With Hybrid Plasticity.
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具有混合可塑性的BrainScaleS-2加速神经形态系统。
DOI:
10.3389/fnins.2022.795876
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发表时间:
2022
影响因子:
4.3
通讯作者:
Schemmel J
中科院分区:
文献类型:
--
作者:
Pehle C;Billaudelle S;Cramer B;Kaiser J;Schreiber K;Stradmann Y;Weis J;Leibfried A;Müller E;Schemmel J
Since the beginning of information processing by electronic components, the nervous system has served as a metaphor for the organization of computational primitives. Brain-inspired computing today encompasses a class of approaches ranging from using novel nano-devices for computation to research into large-scale neuromorphic architectures, such as TrueNorth, SpiNNaker, BrainScaleS, Tianjic, and Loihi. While implementation details differ, spiking neural networks—sometimes referred to as the third generation of neural networks—are the common abstraction used to model computation with such systems. Here we describe the second generation of the BrainScaleS neuromorphic architecture, emphasizing applications enabled by this architecture. It combines a custom analog accelerator core supporting the accelerated physical emulation of bio-inspired spiking neural network primitives with a tightly coupled digital processor and a digital event-routing network.
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影响因子:
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