Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Ben Varkey Benjamin"'
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 70:1826-1830
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33daf716886180abbab9bb819f6865be
https://doi.org/10.1109/tcsii.2023.3234009
https://doi.org/10.1109/tcsii.2023.3234009
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:
Neuromorphic Computing and Engineering. 1:013001
A central challenge for systems neuroscience and artificial intelligence is to understand how cognitive behaviors arise from large, highly interconnected networks of neurons. Digital simulation is linking cognitive behavior to neural activity to brid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b9e0258b1b996dc2d0a615f4f3b4341
https://doi.org/10.1088/2634-4386/ac0a5a
https://doi.org/10.1088/2634-4386/ac0a5a
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:
Ben Varkey Benjamin, Andrew Gilbert, Kwabena Boahen, Terrence C. Stewart, Eric Kauderer-Abrams, Aaron R. Voelker
Publikováno v:
ISCAS
We present a novel approach to achieving temperature-robust behavior in neuromorphic systems that operates at the population level, trading an increase in silicon-neuron count for robustness across temperature. Our silicon neurons' tuning curves were
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2820d8985cfa583787aa9d9a0e9ecc6f
https://doi.org/10.1109/iscas.2017.8050985
https://doi.org/10.1109/iscas.2017.8050985
Publikováno v:
ISCAS
The Neural Engineering Framework (NEF) is a theory for mapping computations onto biologically plausible networks of spiking neurons. This theory has been applied to a number of neuromorphic chips. However, within both silicon and real biological syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e19d8cb2bda953e88bbce00fb78706ca
https://doi.org/10.1109/iscas.2017.8050810
https://doi.org/10.1109/iscas.2017.8050810
Autor:
Peiran Gao, Emmett McQuinn, Swadesh Choudhary, Kwabena Boahen, Rodrigo Alvarez-Icaza, Anand R. Chandrasekaran, Ben Varkey Benjamin, John V. Arthur, Paul A. Merolla, Jean-Marie Bussat
Publikováno v:
Proceedings of the IEEE. 102:699-716
In this paper, we describe the design of Neurogrid, a neuromorphic system for simulating large-scale neural models in real time. Neuromorphic systems realize the function of biological neural systems by emulating their structure. Designers of such sy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5cd9d71e912a5ebd289c346d2fc8003
https://doi.org/10.1109/jproc.2014.2313565
https://doi.org/10.1109/jproc.2014.2313565
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 59:2383-2394
We present an approach to map neuronal models onto neuromorphic hardware using mathematical insights from dynamical system theory. Quantitatively accurate mappings are important for neuromorphic systems to both leverage and extend existing theoretica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9e8729f6006bf3a81d5b2ffe2b03661f
https://doi.org/10.1109/tcsi.2012.2188956
https://doi.org/10.1109/tcsi.2012.2188956
Publikováno v:
EMBC
We present a novel log-domain silicon synapse designed for subthreshold analog operation that emulates common synaptic interactions found in biology. Our circuit models the dynamic gating of ion-channel conductances by emulating the processes of neur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f631fd52db2035c64c99602c4def9d29
https://doi.org/10.1109/embc.2012.6346045
https://doi.org/10.1109/embc.2012.6346045