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
Schemmel J
中科院分区:
医学2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

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自从电子元件开始进行信息处理以来,神经系统一直是计算原语组织的隐喻。今天的大脑启发计算包括一类方法,从使用新型纳米设备进行计算到研究大规模神经形态架构,如TrueNorth,SpiNNaker,BrainScaleS,Tianjic和Loihi。虽然实现细节有所不同,但尖峰神经网络(有时称为第三代神经网络)是用于对此类系统的计算进行建模的常见抽象。在这里,我们描述了第二代BrainScaleS神经形态架构,强调该架构所支持的应用程序。它结合了一个定制的模拟加速器核心,支持生物启发的尖峰神经网络原语的加速物理仿真,以及一个紧密耦合的数字处理器和一个数字事件路由网络。
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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