Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Jonathan Tapson"'
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2019)
In this work, we investigate event-based feature extraction through a rigorous framework of testing. We test a hardware efficient variant of Spike Timing Dependent Plasticity (STDP) on a range of spatio-temporal kernels with different surface decayin
Externí odkaz:
https://doaj.org/article/9660f3663e3f4c03bee8d686cd71459d
Publikováno v:
Sensors, Vol 20, Iss 6, p 1600 (2020)
Unsupervised feature extraction algorithms form one of the most important building blocks in machine learning systems. These algorithms are often adapted to the event-based domain to perform online learning in neuromorphic hardware. However, not desi
Externí odkaz:
https://doaj.org/article/ecf95b4018494d19ab54772e9e89b092
Autor:
Morven Cameron, Orsolya Kékesi, John W Morley, Jonathan Tapson, Paul P Breen, André van Schaik, Yossi Buskila
Publikováno v:
PLoS ONE, Vol 11, Iss 5, p e0155468 (2016)
Calcium-imaging is a sensitive method for monitoring calcium dynamics during neuronal activity. As intracellular calcium concentration is correlated to physiological and pathophysiological activity of neurons, calcium imaging with fluorescent indicat
Externí odkaz:
https://doaj.org/article/a09d0eb2e9964edbabf3de5507f43cbb
Autor:
Ulrike Rivett, Jonathan Tapson
Publikováno v:
Gateways, Vol 2, Iss 0, Pp 82-97 (2009)
This article presents the development of a technology initiative called Cell-Life which addresses the need for information management in the HIV/AIDS sector. Cell-Life started in 2001 as a research collaboration between staff of the Engineering Facul
Externí odkaz:
https://doaj.org/article/bfa0202f7e214cd69c65c67a98eb6c54
Publikováno v:
PLoS ONE, Vol 10, Iss 8, p e0134254 (2015)
Recent advances in training deep (multi-layer) architectures have inspired a renaissance in neural network use. For example, deep convolutional networks are becoming the default option for difficult tasks on large datasets, such as image and speech r
Externí odkaz:
https://doaj.org/article/5c0df50978084935bbd558e5da16710f
Autor:
Gokturk Cinserin, Amirreza Yousefzadeh, Orlando Miguel Pires Dos Reis Moreira, R.-J. Zwartenkot, P. Qiao, Jonathan Tapson, A. Kapoor, Fabian Chersi, M. Lindwer, Mina A. Khoei
Publikováno v:
AICAS
We present a novel computing architecture which combines the event-based and compute-in-network principles of neuromorphic computing with a traditional dataflow architecture. The result is a fine-grained dynamic dataflow system which avoids the codin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78465f80f658257d35b64ba1855f23e2
https://doi.org/10.1109/aicas48895.2020.9073999
https://doi.org/10.1109/aicas48895.2020.9073999
Publikováno v:
Proceedings-2020 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2020, 256-260
STARTPAGE=256;ENDPAGE=260;TITLE=Proceedings-2020 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2020
AICAS
STARTPAGE=256;ENDPAGE=260;TITLE=Proceedings-2020 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2020
AICAS
Biological neurons are known to have sparse and asynchronous communications using spikes. Despite our incomplete understanding of processing strategies of the brain, its low energy consumption in fulfilling delicate tasks suggests the existence of en
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3cc07e303b15eba90caf1950543c793
http://www.scopus.com/inward/record.url?scp=85084991917&partnerID=8YFLogxK
http://www.scopus.com/inward/record.url?scp=85084991917&partnerID=8YFLogxK
Publikováno v:
Sensors
Volume 20
Issue 6
Sensors, Vol 20, Iss 6, p 1600 (2020)
Sensors (Basel, Switzerland)
Volume 20
Issue 6
Sensors, Vol 20, Iss 6, p 1600 (2020)
Sensors (Basel, Switzerland)
Unsupervised feature extraction algorithms form one of the most important building blocks in machine learning systems. These algorithms are often adapted to the event-based domain to perform online learning in neuromorphic hardware. However, not desi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01177a8c523a0ed2712faf07e4070cba
Autor:
Peter Kievits, Rik-Jan Zwartenkot, Peng Qiao, Jonathan Tapson, Aimee Ferouge, Mina A. Khoei, Ashoka Visweswara, Fabian Chersi, Orlando Moreira, Louis Rouillard, Ajay Kapoor, Gokturk Cinserin, Amirreza Yousefzadeh
Publikováno v:
DATE
Neuronflow is a neuromorphic, many core, data flow architecture that exploits brain-inspired concepts to deliver a scalable event-based processing engine for neuron networks in Live AI applications. Its design is inspired by brain biology, but not ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af61e10cb7ecb2237e91887e38c60a65
https://doi.org/10.23919/date48585.2020.9116352
https://doi.org/10.23919/date48585.2020.9116352
Autor:
Tara Julia Hamilton, Chetan Singh Thakur, Ralph Etienne-Cummings, André van Schaik, Runchun Wang, Jonathan Tapson
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 65:1174-1184
As the integrated circuit (IC) technology advances into smaller nanometre feature sizes, a fixed-error noise known as device mismatch is introduced owing to the dissimilarity between transistors, and this degrades the accuracy of analog circuits. In
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0b4f75263b587315804d9301af286dd
https://doi.org/10.1109/tcsi.2017.2756878
https://doi.org/10.1109/tcsi.2017.2756878