Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Stefan Hänzsche"'
Autor:
Franz Marcus Schüffny, Sebastian Höppner, Stefan Hänzsche, Richard Miru George, Seyed Mohammad Ali Zeinolabedin, Christian Mayr
Publikováno v:
IEEE Solid-State Circuits Letters. 6:145-148
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a3e36b77010b2114406bb0fee6b7c9e
https://doi.org/10.1109/lssc.2023.3270243
https://doi.org/10.1109/lssc.2023.3270243
Autor:
Hector A. Gonzalez, Bernhard Vogginger, Chen Liu, Marco Stolba, Florian Kelber, Heiner Bauer, Stefan Hänzsche, Stefan Scholze, Marc Berthel, Tim Rosmeisl, Liyuan Guo, Dennis Walter, Piash Das, Khaleelulla Khan, Tilo Schubert, Sebastian Höppner, Christian Mayr
Publikováno v:
2023 IEEE Custom Integrated Circuits Conference (CICC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e5673ec56028d7d92c1024544c64c15
https://doi.org/10.1109/cicc57935.2023.10121258
https://doi.org/10.1109/cicc57935.2023.10121258
Autor:
Stefan Hänzsche, Johannes Partzsch, Paolo Del Giudice, Massimiliano Giulioni, Christian Mayr, Marko Noack, Rene Schuffny, Stefan Scholze, Sebastian Hoppner
Publikováno v:
Journal of Signal Processing Systems. 92:1303-1321
Real-time coupling of cell cultures to neuromorphic circuits necessitates a neuromorphic network that replicates biological behaviour both on a per-neuron and on a population basis, with a network size comparable to the culture. We present a large ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6567a4b3cb84aa9011942b5eccaa22c
https://doi.org/10.1007/s11265-020-01556-9
https://doi.org/10.1007/s11265-020-01556-9
Autor:
Rene Schuffny, Stefan Hänzsche, Georg Ellguth, Stefan Scholze, Marko Noack, Christian Mayr, Sebastian Hoppner, Johannes Partzsch
Publikováno v:
Frontiers in Neuroscience, Vol 9 (2015)
Frontiers in Neuroscience
Frontiers in Neuroscience, 9
Frontiers in Neuroscience
Frontiers in Neuroscience, 9
Synaptic dynamics, such as long- and short-term plasticity, play an important role in the complexity and biological realism achievable when running neural networks on a neuromorphic IC. For example, they endow the IC with an ability to adapt and lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93fcf02f339fb798d2c1cb5967aac624
http://journal.frontiersin.org/Journal/10.3389/fnins.2015.00010/full
http://journal.frontiersin.org/Journal/10.3389/fnins.2015.00010/full
Autor:
Sebastian Hoppner, Christian Mayr, Marko Noack, Georg Ellguth, Johannes Partzsch, Rene Schuffny, Stefan Hänzsche, Stefan Scholze
A switched-capacitor (SC) neuromorphic system for closed-loop neural coupling in 28 nm CMOS is presented, occupying 600 um by 600 um. It offers 128 input channels (i.e., presynaptic terminals), 8192 synapses and 64 output channels (i.e., neurons). Bi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2842dbe370da258061e2c81e2386f7a4
http://arxiv.org/abs/1412.3233
http://arxiv.org/abs/1412.3233
Autor:
René Schüffny, Mario Ander, Sebastian Höppner, Stephan Henker, Holger Eisenreich, G. Ellguth, Johannes Partzsch, Christian Mayr, Stefan Hänzsche, Stefan Scholze
Publikováno v:
Integration, the VLSI Journal
State-of-the-art large-scale neuromorphic systems require a sophisticated, high-bandwidth communication infrastructure for the exchange of spike events between units of the neural network. These communication infrastructures are usually built around
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::756352b33964a4a3724014fe0ae4e9c4