Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Ryad Benjamin Benosman"'
Publikováno v:
Frontiers in Neuroscience, Vol 10 (2016)
The asynchronous time-based neuromorphic image sensor ATIS is an array of autonomously operating pixels able to encode luminance information with an exceptionally high dynamic range (143 dB). This paper introduces an event-based methodology to displa
Externí odkaz:
https://doaj.org/article/7780e0c0830644598aada525d67380a9
Autor:
Gregory Kevin Cohen, Garrick eOrchard, Sio Hoi eIeng, Jonathan eTapson, Ryad Benjamin Benosman, André evan Schaik
Publikováno v:
Frontiers in Neuroscience, Vol 10 (2016)
The growing demands placed upon the field of computer vision has renewed the focus on alternative visual scene representations and processing paradigms. Silicon retinea provide an alternative means of imaging the visual environment, and produce frame
Externí odkaz:
https://doaj.org/article/99b121db1e5b4e6a9fa7273bc9738d49
Publikováno v:
Frontiers in Neuroscience, Vol 10 (2016)
We demonstrate robust optical flow extraction with an analog neuromorphic multi-chip system. The task is performed by a feed-forward network of analog integrate-and-fire neurons whose inputs are provided by contrast-sensitive photoreceptors. Computat
Externí odkaz:
https://doaj.org/article/90876869f38a467d9d077a62b8ba2523
Publikováno v:
Frontiers in Neuroscience, Vol 9 (2016)
Pose estimation is a fundamental step in many artificial vision tasks. It consists of estimating the 3D pose of an object with respect to a camera from the object's 2D projection. Current state of the art implementations operate on images. These impl
Externí odkaz:
https://doaj.org/article/707d68f04e124219bb3817d707bac96c
Publikováno v:
Alzheimer's & Dementia. 17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6a922933b03456264031561f9cad4b67
https://doi.org/10.1002/alz.055176
https://doi.org/10.1002/alz.055176
Autor:
Xavier eLagorce, Evangelos eStromatias, Francesco eGalluppi, Luis A. Plana, Shih-Chii eLiu, Steve B Furber, Ryad Benjamin Benosman
Publikováno v:
Frontiers in Neuroscience, Vol 9 (2015)
Spike-based neuromorphic sensors such as retinas and cochleas, change the way in which the world is sampled. Instead of producing data sampled at a constant rate, these sensors output spikes that are asynchronous and event driven. The event-based nat
Externí odkaz:
https://doaj.org/article/0b18a061fa22409396506405cd468e17
Publikováno v:
Frontiers in Neuroscience, Vol 9 (2015)
Bio-inspired asynchronous event-based vision sensors are currently introducing a paradigm shift in visual information processing. These new sensors rely on a stimulus-driven principle of light acquisition similar to biological retinas. They are event
Externí odkaz:
https://doaj.org/article/0d4dce174f1b45459b16fc9c340b4b86
Autor:
Francesco eGalluppi, Xavier eLagorce, Evangelos eStromatias, Michael ePfeiffer, Luis A Plana, Steve B Furber, Ryad Benjamin Benosman
Publikováno v:
Frontiers in Neuroscience, Vol 8 (2015)
Many of the precise biological mechanisms of synaptic plasticity remain elusive, but simulations of neural networks have greatly enhanced our understanding of how specific global functions arise from the massively parallel computation of neurons and
Externí odkaz:
https://doaj.org/article/92f8bb267ad34bf7a3be5a4b16ef4315
Autor:
Luis Alejandro eCamunas-Mesa, Teresa eSerrano-Gotarredona, Sio Hoi eIeng, Ryad Benjamin Benosman, Bernabe eLinares-Barranco
Publikováno v:
Frontiers in Neuroscience, Vol 8 (2014)
The recently developed Dynamic Vision Sensors (DVS) sense visual information asynchronously and code it into trains of events with sub-micro second temporal resolution. This high temporal precision makes the output of these sensors especially suited
Externí odkaz:
https://doaj.org/article/91105a3a9aa544f3861cbb08ae27ede4
Autor:
Xavier eClady, Charles eClercq, Sio-Hoi eIeng, Fouzhan eHouseini, Marco eRandazzo, Lorenzo eNatale, Chiara eBartolozzi, Ryad Benjamin Benosman
Publikováno v:
Frontiers in Neuroscience, Vol 8 (2014)
A reliable and fast sensing of the environment is a fundamental necessity of mobile platforms. Unfortunately conventional cameras due to the current frame-based acquisition paradigm output low temporal dynamics and redundant data flow leading to high
Externí odkaz:
https://doaj.org/article/efeee017e3334977a2b5f77cd0596e81