Autocorrelations from emergent bistability in homeostatic spiking neural networks on neuromorphic hardware-Reference-Cited by-同舟云学术

Autocorrelations from emergent bistability in homeostatic spiking neural networks on neuromorphic hardware

Published:2023-07-19 Issue:3 Volume:5 Page:
ISSN:2643-1564
Container-title:Physical Review Research
language:en
Short-container-title:Phys. Rev. Research

Author:

Cramer Benjamin^ORCID,Kreft Markus,Billaudelle Sebastian,Karasenko Vitali,Leibfried Aron,Müller Eric^ORCID,Spilger Philipp,Weis Johannes^ORCID,Schemmel Johannes^ORCID,Muñoz Miguel A.^ORCID,Priesemann Viola,Zierenberg Johannes^ORCID

Funder

Sixth Framework Programme

Seventh Framework Programme

Horizon 2020 Framework Programme

Deutsche Forschungsgemeinschaft

Agencia Estatal de Investigación

Federación Española de Enfermedades Raras

Consejería de Conocimiento, Investigación y Universidad, Junta de Andalucía

European Regional Development Fund

Joachim Herz Stiftung

Publisher

American Physical Society (APS)

Subject

General Physics and Astronomy

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevResearch.5.033035/fulltext

Reference98 articles.

1. Large-scale neuromorphic computing systems

2. Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System

3. A Scalable Multicore Architecture With Heterogeneous Memory Structures for Dynamic Neuromorphic Asynchronous Processors (DYNAPs)

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