Article: The BrainScaleS-2 Accelerated Neuromorphic System With Hybrid Plasticity.
2022 Volume 16, Page(s) 795876
Abstract: 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 ... ...
Abstract | 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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Language | English |
Publishing date | 2022-02-24 |
Publishing country | Switzerland |
Document type | Journal Article |
ZDB-ID | 2411902-7 |
ISSN | 1662-453X ; 1662-4548 |
ISSN (online) | 1662-453X |
ISSN | 1662-4548 |
DOI | 10.3389/fnins.2022.795876 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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