Optogenetic therapy: high spatiotemporal resolution and pattern discrimination compatible with vision restoration in non-human primates

Autor: Gregory Gauvain, Himanshu Akolkar, Antoine Chaffiol, Fabrice Arcizet, Mina A. Khoei, Mélissa Desrosiers, Céline Jaillard, Romain Caplette, Olivier Marre, Stéphane Bertin, Claire-Maelle Fovet, Joanna Demilly, Valérie Forster, Elena Brazhnikova, Philippe Hantraye, Pierre Pouget, Anne Douar, Didier Pruneau, Joël Chavas, José-Alain Sahel, Deniz Dalkara, Jens Duebel, Ryad Benosman, Serge Picaud

Publikováno v: Communications Biology, Vol 4, Iss 1, Pp 1-15 (2021)

Gauvain et al demonstrate that optogenetic therapy using the AAV2.7m8- ChR-tdT construct can partially restore vision in non-human primates to levels above those considered legally-blind. This study enables the identification of the most suitable con

Externí odkaz: https://doaj.org/article/0b4ca90d06f64da69afaff7c49d68f90

Asynchronous Event-Based Motion Processing: From Visual Events to Probabilistic Sensory Representation

Autor: Mina A. Khoei, Ryad Benosman, Sio-Hoi Ieng

Publikováno v: Neural Computation. 31:1114-1138

In this work, we propose a two-layered descriptive model for motion processing from retina to the cortex, with an event-based input from the asynchronous time-based image sensor (ATIS) camera. Spatial and spatiotemporal filtering of visual scenes by

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84b7945f9e4137757af012b00f101c11
https://doi.org/10.1162/neco_a_01191

SpArNet

Autor: Orlando Moreira, Arash Pourtaherian, Jonathan Tapson, Mina A. Khoei, Amirreza Yousefzadeh

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

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

NeuronFlow: a neuromorphic processor architecture for Live AI applications

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

Asynchronous Spiking Neurons, the Natural Key to Exploit Temporal Sparsity

Autor: Bernabe Linares-Barranco, Pieter Simoens, Teresa Serrano-Gotarredona, Mina A. Khoei, Bart Dhoedt, Priscila Holanda, Orlando Miguel Pires Dos Reis Moreira, Jonathan Tapson, Sam Leroux, Amirreza Yousefzadeh, Sahar Hosseini

Publikováno v: idUS. Depósito de Investigación de la Universidad de Sevilla
instname
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS

Inference of Deep Neural Networks for stream signal (Video/Audio) processing in edge devices is still challenging. Unlike the most state of the art inference engines which are efficient for static signals, our brain is optimized for real-time dynamic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc9d01c8697e285bcbd44a6fa46ba8b9