The BrainScaleS-2 Accelerated Neuromorphic System With Hybrid Plasticity.
Front Neurosci
; 16: 795876, 2022.
Article
en En
| MEDLINE
| ID: mdl-35281488
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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1
Colección:
01-internacional
Base de datos:
MEDLINE
Idioma:
En
Revista:
Front Neurosci
Año:
2022
Tipo del documento:
Article
País de afiliación:
Alemania