Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate

被引：0

作者：

Billaudelle, S. ^{[1
]}

Stradmann, Y. ^{[1
]}

Schreiber, K. ^{[1
]}

Cramer, B. ^{[1
]}

Baumbach, A. ^{[1
]}

Dold, D. ^{[1
]}

Goeltz, J. ^{[1
]}

Kungl, A. F. ^{[1
,3
,4
]}

Wunderlich, T. C. ^{[1
]}

Hartel, A. ^{[1
]}

Mueller, E. ^{[1
]}

Breitwieser, O. ^{[1
]}

Mauch, C. ^{[1
]}

Kleider, M. ^{[1
]}

Gruebl, A. ^{[1
]}

Stoeckel, D. ^{[1
]}

Pehle, C. ^{[1
]}

Heimbrecht, A. ^{[1
]}

Spilger, P. ^{[1
]}

Kiene, G. ^{[1
]}

Karasenko, V ^{[1
]}

Senn, W. ^{[2
]}

Petrovici, M. A. ^{[1
,2
]}

Schemmel, J. ^{[1
]}

Meier, K. ^{[1
]}

机构：

[1] Heidelberg Univ, Kirchhoff Inst Phys, Heidelberg, Germany

[2] Univ Bern, Dept Physiol, Bern, Switzerland

[3] Berlin Inst Hlth, Berlin, Germany

[4] Charite, Berlin, Germany

来源：

2020 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS) | 2020年

关键词：

MEMORY;

D O I：

10.48350/149640

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

We present first experimental results on the novel BrainScaleS-2 neuromorphic architecture based on an analog neuro-synaptic core and augmented by embedded microprocessors for complex plasticity and experiment control. The high acceleration factor of 1000 compared to biological dynamics enables the execution of computationally expensive tasks, by allowing the fast emulation of long-duration experiments or rapid iteration over many consecutive trials. The flexibility of our architecture is demonstrated in a suite of five distinct experiments, which emphasize different aspects of the BrainScaleS-2 system.

引用

页数：5

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