Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Jamal Lottier Molin"'
Autor:
Chetan Singh Thakur, Jamal Lottier Molin, Gert Cauwenberghs, Giacomo Indiveri, Kundan Kumar, Ning Qiao, Johannes Schemmel, Runchun Wang, Elisabetta Chicca, Jennifer Olson Hasler, Jae-sun Seo, Shimeng Yu, Yu Cao, André van Schaik, Ralph Etienne-Cummings
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2019)
Externí odkaz:
https://doaj.org/article/a8415bff92784771b5c9cb19fc1cc784
Autor:
Chetan Singh Thakur, Jamal Lottier Molin, Gert Cauwenberghs, Giacomo Indiveri, Kundan Kumar, Ning Qiao, Johannes Schemmel, Runchun Wang, Elisabetta Chicca, Jennifer Olson Hasler, Jae-sun Seo, Shimeng Yu, Yu Cao, André van Schaik, Ralph Etienne-Cummings
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2018)
Neuromorphic engineering (NE) encompasses a diverse range of approaches to information processing that are inspired by neurobiological systems, and this feature distinguishes neuromorphic systems from conventional computing systems. The brain has evo
Externí odkaz:
https://doaj.org/article/b944e9dcee8647db834cb1072a2b4df0
Publikováno v:
Handbook of Neuroengineering ISBN: 9789811655395
Handbook of Neuroengineering ISBN: 9789811528484
Handbook of Neuroengineering ISBN: 9789811528484
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::206f35d8b68fcf689b1663f2f23b65f8
https://doi.org/10.1007/978-981-16-5540-1_42
https://doi.org/10.1007/978-981-16-5540-1_42
Publikováno v:
IEEE Trans Biomed Circuits Syst
The ability to attend to salient regions of a visual scene is an innate and necessary preprocessing step for both biological and engineered systems performing high-level visual tasks (e.g. object detection, tracking, and classification). Computationa
Publikováno v:
CISS
Matched filtering is used in radar signal processing for optimal detection of signals in highly noisy environments. In this paper, we demonstrate a novel method for matched matched filtering using 1 bit random encoding called PEERS (Parameter Estimat
Autor:
Yu Cao, Chetan Singh Thakur, Elisabetta Chicca, Gert Cauwenberghs, Johannes Schemmel, Jennifer Hasler, Kundan Kumar, Jae-sun Seo, Giacomo Indiveri, Shimeng Yu, Ning Qiao, André van Schaik, Jamal Lottier Molin, Runchun Wang, Ralph Etienne-Cummings
Publikováno v:
Frontiers in Neuroscience, Vol 12 (2019)
Author(s): Thakur, Chetan Singh; Molin, Jamal Lottier; Cauwenberghs, Gert; Indiveri, Giacomo; Kumar, Kundan; Qiao, Ning; Schemmel, Johannes; Wang, Runchun; Chicca, Elisabetta; Hasler, Jennifer Olson; Seo, Jae-Sun; Yu, Shimeng; Cao, Yu; van Schaik, An
Autor:
André van Schaik, Jamal Lottier Molin, Jennifer Hasler, Kundan Kumar, Johannes Schemmel, Giacomo Indiveri, Ning Qiao, Yu Cao, Runchun Wang, Shimeng Yu, Jae-sun Seo, Chetan Singh Thakur, Gert Cauwenberghs, Ralph Etienne-Cummings, Elisabetta Chicca
Publikováno v:
Frontiers in Neuroscience
Frontiers in Neuroscience, 12
Frontiers in Neuroscience, Vol 12 (2018)
Frontiers in Neuroscience, 12
Frontiers in Neuroscience, Vol 12 (2018)
Neuromorphic engineering (NE) encompasses a diverse range of approaches to information processing that are inspired by neurobiological systems, and this feature distinguishes neuromorphic systems from conventional computing systems. The brain has evo
Autor:
Ernst Niebur, Jie Zhang, Ralph Etienne-Cummings, Tao Xiong, Jamal Lottier Molin, Chetan Singh Thakur
Publikováno v:
ISCAS
Visual saliency models are difficult to implement in hardware for real time applications due to their computational complexity. The conventional digital implementation is not optimal because of the requirement of a large number of convolution operati
Publikováno v:
ISCAS
Autonomous aerial vehicles perofrming visual tasks must operate under low-power, small-size, and light-weight constraints. We demonstrate an event-based dewarping task using a neuromorphic camera and processor for efficiently performing this visual t
Autor:
Ralph Etienne-Cummings, Christian Brandli, Jamal Lottier Molin, Vigil Varghese, Adebayo Eisape, Chetan Singh Thakur
Publikováno v:
ISCAS
We present an array of Mihalas-Niebur neurons with dynamically reconfigurable synapses implemented in 0.5 μm CMOS technology optimized for low-power, low-mismatch, and high-density. This neural array has two modes of operation: one is each cell in t