Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Francois Rummens"'
Autor:
Abdelhamid Benazzouz, Sylvie Renaud, Gilles N'Kaoua, Ranu Jung, Francois Rummens, Adeline Zbrzeski, Noëlle Lewis
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 3, Iss 3, Pp 279-299 (2013)
Brain neuroprostheses for neuromodulation are being designed to monitor the neural activity of the brain in the vicinity of the region being stimulated using a single macro-electrode. Using a single macro-electrode, recent neuromodulation studies sho
Externí odkaz:
https://doaj.org/article/28be1fb195fa4020be3b5877691055c0
Autor:
Francois Blard, Filippo Moro, Paul Clemencon, B. Fain, Thomas Dalgaty, Francois Rummens, David Esseni, Emmanuel Hardy, Thomas Mesquida, Elisa Vianello, Alessio De Pra, Francois Gardien, N. Castellani, Giacomo Indiveri, Melika Payvand, Jérôme Casas
Real-world sensory-processing applications require compact, low-latency, and low-power computing systems. Enabled by their in-memory event-driven computing abilities, hybrid memristive-CMOS neuromorphic architectures provide an ideal hardware substra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2ee877778db9dd1af2c32f3c5db29dd
https://doi.org/10.21203/rs.3.rs-951481/v1
https://doi.org/10.21203/rs.3.rs-951481/v1
Publikováno v:
ISSCC
Electromagnetic vibration energy harvesters (EMHs) can harvest mW-range power from sub-g vibrational environments while having a volume of a few cm3, Thus, such EMHs are promising candidates for powering net-zero-power sensor nodes as compared to the
Autor:
Thomas Mesquida, Marina Reyboz, Elisa Vianello, Francois Rummens, Alexandre Valentian, Maxence Bouvier, Edith Beigne
Publikováno v:
ACM Journal on Emerging Technologies in Computing Systems
ACM Journal on Emerging Technologies in Computing Systems, Association for Computing Machinery, 2019, 15 (2), pp.1-35. ⟨10.1145/3304103⟩
ACM Journal on Emerging Technologies in Computing Systems, 2019, 15 (2), pp.1-35. ⟨10.1145/3304103⟩
ACM Journal on Emerging Technologies in Computing Systems, Association for Computing Machinery, 2019, 15 (2), pp.1-35. ⟨10.1145/3304103⟩
ACM Journal on Emerging Technologies in Computing Systems, 2019, 15 (2), pp.1-35. ⟨10.1145/3304103⟩
Neuromorphic computing is henceforth a major research field for both academic and industrial actors. As opposed to Von Neumann machines, brain-inspired processors aim at bringing closer the memory and the computational elements to efficiently evaluat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e7a0a792bc8444bdb2d956130cce33a
Publikováno v:
International Journal of Circuit Theory and Applications. 44:1742-1757
Summary This paper presents a theoretical study and the resulting architecture of an analogue-based standard deviation (SD) estimator, typically used in biomedical spike detectors to assess the noise level of bioelectrical recordings online. This wel
Autor:
Gilles N'Kaoua, Francois Rummens, Ranu Jung, Adeline Zbrzeski, Abdelhamid Benazzouz, Noëlle Lewis, Sylvie Renaud
Publikováno v:
Journal of Low Power Electronics and Applications, Vol 3, Iss 3, Pp 279-299 (2013)
Journal of Low Power Electronics and Applications
Journal of Low Power Electronics and Applications, MDPI, 2013, 3 (3), pp.279-299. ⟨10.3390/jlpea3030279⟩
Volume 3
Issue 3
Pages 279-299
Journal of Low Power Electronics and Applications
Journal of Low Power Electronics and Applications, MDPI, 2013, 3 (3), pp.279-299. ⟨10.3390/jlpea3030279⟩
Volume 3
Issue 3
Pages 279-299
International audience; Brain neuroprostheses for neuromodulation are being designed to monitor the neural activity of the brain in the vicinity of the region being stimulated using a single macro-electrode. Using a single macro-electrode, recent neu
Autor:
Filippo Moro, Emmanuel Hardy, Bruno Fain, Thomas Dalgaty, Paul Clémençon, Alessio De Prà, Eduardo Esmanhotto, Niccolò Castellani, François Blard, François Gardien, Thomas Mesquida, François Rummens, David Esseni, Jérôme Casas, Giacomo Indiveri, Melika Payvand, Elisa Vianello
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-13 (2022)
The real-world object localization application needs a low-latency and power efficient computing system. Here, Moro et al. demonstrate a neuromorphic in-memory event driven system, inspired by the barn owl’s neuroanatomy, which is orders of magnitu
Externí odkaz:
https://doaj.org/article/642c7260a4084e1b9832c2fb898fd411
Publikováno v:
NEWCAS
We present a CMOS differential neural amplifier with high input impedance, which topology is inspired by the instrumentation amplifier. The miniaturization of the MEAs goes with an increase of the electrodes impedance and necessitates high input impe