A robust event-driven approach to always-on object recognition

Autor: Laurent Perrinet, Ryad Benosman, Sio-Hoi Ieng, Victor Boutin, Antoine Grimaldi

We propose a neuromimetic architecture able to perform always-on pattern recognition. To achieve this, we extended an existing event-based algorithm [1], which introduced novel spatio-temporal features as a Hierarchy Of Time-Surfaces (HOTS). Built fr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f5cfea42f0f0cae075f5bd06e6a3ae5
https://doi.org/10.36227/techrxiv.18003077

Efficient spatio-temporal feature clustering for large event-based datasets

Autor: Omar Oubari, Georgios Exarchakis, Gregor Lenz, Ryad Benosman, Sio-Hoi Ieng

Publikováno v: Neuromorphic Computing and Engineering. 2:044004

Event-based cameras encode changes in a visual scene with high temporal precision and low power consumption, generating millions of events per second in the process. Current event-based processing algorithms do not scale well in terms of runtime and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::647229ccd2912c2d0d211d232de49c7f
https://doi.org/10.1088/2634-4386/ac970d

Cortical astrocytes develop in a plastic manner at both clonal and cellular levels

Autor: Jason Durand, Sio-Hoi Ieng, Edwin Hernández-Garzón, Emmanuel Beaurepaire, Solène Clavreul, Gilles Bonvento, Lamiae Abdeladim, Raphaëlle Barry, Dragos Niculescu, Jean Livet, Karine Loulier

Publikováno v: Nature Communications, Vol 10, Iss 1, Pp 1-14 (2019)
Nature Communications
Nature Communications, 2019, 10 (1), ⟨10.1038/s41467-019-12791-5⟩
Nature Communications, Nature Publishing Group, 2019, 10 (1), ⟨10.1038/s41467-019-12791-5⟩

Astrocytes play essential roles in the neural tissue where they form a continuous network, while displaying important local heterogeneity. Here, we performed multiclonal lineage tracing using combinatorial genetic markers together with a new large vo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33cd52955e66411ee84f47c362a0f5c6
http://link.springer.com/article/10.1038/s41467-019-12791-5

A robust bio-inspired approach to event-driven object recognition

Autor: Grimaldi, Antoine, Boutin, Victor, Sio-Hoi Ieng, Perrinet, Laurent, Benosman, Ryad

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6b5523ae292209fb0d0f459310dd01ed

Event-Based Face Detection and Tracking Using the Dynamics of Eye Blinks

Autor: Gregor Lenz, Sio-Hoi Ieng, Ryad Benosman

Publikováno v: Frontiers in Neuroscience, Vol 14 (2020)

We present the first purely event-based method for face detection using the high temporal resolution properties of an event-based camera to detect the presence of a face in a scene using eye blinks. Eye blinks are a unique and stable natural dynamic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doajarticles::69d9d2f133c95a63a02c65b9f811d656
https://www.frontiersin.org/article/10.3389/fnins.2020.00587/full