Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Alexander Neckar"'
Braindrop: A Mixed-Signal Neuromorphic Architecture With a Dynamical Systems-Based Programming Model
Autor:
Nick N. Oza, Ben Varkey Benjamin, Kwabena Boahen, Rajit Manohar, Terrence C. Stewart, Chris Eliasmith, Aaron R. Voelker, Sam Fok, Alexander Neckar
Publikováno v:
Proceedings of the IEEE. 107:144-164
Braindrop is the first neuromorphic system designed to be programmed at a high level of abstraction. Previous neuromorphic systems were programmed at the neurosynaptic level and required expert knowledge of the hardware to use. In stark contrast, Bra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3c74652efdebf8c533f48b6e93ea82e
https://doi.org/10.1109/jproc.2018.2881432
https://doi.org/10.1109/jproc.2018.2881432
Publikováno v:
ISCAS
Silicon neurons designed using subthreshold analog-circuit techniques offer low power and compact area but are exponentially sensitive to threshold-voltage mismatch in transistors. The resulting heterogeneity in the neurons' responses, however, provi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b254e1c7820d2ef5d431495f16b2df1
https://doi.org/10.1109/iscas.2018.8351459
https://doi.org/10.1109/iscas.2018.8351459
Publikováno v:
ISCAS
Demonstration Setup: We will bring Braindrop, a mixed-signal neuromorphic chip that is configured to perform arbitrary computations using the Neural Engineering Framework (NEF). Fabricated in a 28-nm FDSOI process, Braindrop has 4,096 silicon neurons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b1a1d2a908a1cd05ce043c70c47ecd0
https://doi.org/10.1109/iscas.2018.8351572
https://doi.org/10.1109/iscas.2018.8351572
Autor:
Kwabena Boahen, Eric M. Trautmann, Alexander Neckar, Chris Eliasmith, Steven A. Sloan, Peiran Gao, Sam Fok, Swadesh Choudhary, Terry Stewart
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2012 ISBN: 9783642332685
ICANN (1)
ICANN (1)
We use neuromorphic chips to perform arbitrary mathematical computations for the first time. Static and dynamic computations are realized with heterogeneous spiking silicon neurons by programming their weighted connections. Using 4K neurons with 16M
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd400edfa24e0329d528d4adbc22649b
https://doi.org/10.1007/978-3-642-33269-2_16
https://doi.org/10.1007/978-3-642-33269-2_16
