Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Stephen R. Deiss"'
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2022)
We present an efficient and scalable partitioning method for mapping large-scale neural network models with locally dense and globally sparse connectivity onto reconfigurable neuromorphic hardware. Scalability in computational efficiency, i.e., amoun
Externí odkaz:
https://doaj.org/article/c7aaee9dbb7541f9807dfe2ecb0311a4
Autor:
Bruno U. Pedroni, Siddharth Joshi, Stephen R. Deiss, Sadique Sheik, Georgios Detorakis, Somnath Paul, Charles Augustine, Emre O. Neftci, Gert Cauwenberghs
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
Spike-Timing-Dependent Plasticity (STDP) is a bio-inspired local incremental weight update rule commonly used for online learning in spike-based neuromorphic systems. In STDP, the intensity of long-term potentiation and depression in synaptic efficac
Externí odkaz:
https://doaj.org/article/b867aac7b7094b1b98a14a510b0f78fb
Publikováno v:
IEEE Transactions on Biomedical Circuits and Systems. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa22d794a1807c3b5d011f29d2a08142
https://doi.org/10.1109/tbcas.2023.3272649
https://doi.org/10.1109/tbcas.2023.3272649
Publikováno v:
ICRC
In order for neuromorphic computing to attain full throughput capacity, its hardware design must mitigate any inefficiencies that result from limited bandwidth to neural and synaptic information. In large-scale neuromorphic systems, synaptic memory a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1b879e031ace45f884d082074c32541
https://doi.org/10.1109/icrc2020.2020.00013
https://doi.org/10.1109/icrc2020.2020.00013
Autor:
Huaqiang Wu, Bin Gao, S. Burc Eryilmaz, Priyanka Raina, Gert Cauwenberghs, Yan Liao, Dabin Wu, Siddharth Joshi, Stephen R. Deiss, Weier Wan, Rajkumar Kubendran, Wenqiang Zhang, H.-S. Philip Wong
Publikováno v:
ISSCC
Many powerful neural network (NN) models such as probabilistic graphical models (PGMs) and recurrent neural networks (RNNs) require flexibility in dataflow and weight access patterns as shown in Fig. 33.1.1 Typically, Compute-In-Memory (CIM) designs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5be3ee3ce6db6a424306d82c68020229
https://doi.org/10.1109/isscc19947.2020.9062979
https://doi.org/10.1109/isscc19947.2020.9062979
Autor:
Gert Cauwenberghs, Somnath Paul, Sadique Sheik, Emre Neftci, Bruno U. Pedroni, Georgios Detorakis, Siddharth Joshi, Stephen R. Deiss, Charles Augustine
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
Frontiers in Neuroscience
Frontiers in Neuroscience
Spike-Timing-Dependent Plasticity (STDP) is a bio-inspired local incremental weight update rule commonly used for online learning in spike-based neuromorphic systems. In STDP, the intensity of long-term potentiation and depression in synaptic efficac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e8800f6f044f650fd6adeddac169288
https://www.frontiersin.org/article/10.3389/fnins.2019.00357/full
https://www.frontiersin.org/article/10.3389/fnins.2019.00357/full
Autor:
Stephen R. Deiss, Gert Cauwenberghs, Tao Zhang, David Tourtelotte, Matthew Kleffner, Akshay Paul
Publikováno v:
NER
Conventional electroencephalography (EEG) requires placement of several electrode sensors on the scalp and, accompanied by lead wires and bulky instrumentation, makes for an uncomfortable experience. Recent efforts in miniaturization and system integ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0707ac9ea2325d4a95c66baedf0261c9
https://doi.org/10.1109/ner.2019.8716918
https://doi.org/10.1109/ner.2019.8716918
Publikováno v:
2010 12th International Workshop on Cellular Nanoscale Networks and their Applications (CNNA 2010).
An asynchronous communication scheme for scalable routing of spike events in large-scale neuromorphic hardware is presented. The routing scheme extends the Address-Event Representation (AER) protocol for spike event communication to a modular, hierar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7e6a3cbbeb7ea3881bdb49493a307401
https://doi.org/10.1109/cnna.2010.5430296
https://doi.org/10.1109/cnna.2010.5430296
Publikováno v:
BSN
A non-contact capacitive biopotential electrode with a common-mode noise suppression circuit is presented. The sensor network utilizes a single conductive sheet to establish a common body wide reference line, eliminating the need for an explicit sign
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3792528e0b0e18bb5fe1b5834197daf4
https://doi.org/10.1109/bsn.2009.52
https://doi.org/10.1109/bsn.2009.52
Publikováno v:
ISCAS
Electroencephalograph (EEG) recording systems offer a versatile, non-invasive window on the brain's spatiotemporal activity for many neuroscience and clinical applications. Our research aims to improve the convenience and mobility of EEG recording by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a9924123f24104cdd654f01853c41fb
https://doi.org/10.1109/iscas.2008.4541835
https://doi.org/10.1109/iscas.2008.4541835