Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Olivier Bichler"'
Publikováno v:
Frontiers in Computational Neuroscience, Vol 12 (2018)
Learning of hierarchical features with spiking neurons has mostly been investigated in the database framework of standard deep learning systems. However, the properties of neuromorphic systems could be particularly interesting for learning from conti
Externí odkaz:
https://doaj.org/article/4a143a01e2e8426b8716975ae07199a5
Autor:
Thilo Werner, Elisa Vianello, Olivier Bichler, Daniele Garbin, Daniel Cattaert, Blaise Yvert, Barbara De Salvo, Luca Perniola
Publikováno v:
Frontiers in Neuroscience, Vol 11 (2017)
Externí odkaz:
https://doaj.org/article/f605616e0945461fbbbb89c17ee99e63
Autor:
Thilo Werner, Elisa Vianello, Olivier Bichler, Daniele Garbin, Daniel Cattaert, Blaise Yvert, Barbara De Salvo, Luca Perniola
Publikováno v:
Frontiers in Neuroscience, Vol 10 (2016)
In this paper, we present an alternative approach to perform spike sorting of complex brain signals based on spiking neural networks (SNN). The proposed architecture is suitable for hardware implementation by using RRAM technology for the implementat
Externí odkaz:
https://doaj.org/article/cc95e91b22a94bd8af2f97e39e547209
Publikováno v:
AICAS
Recent advances in specialized hardware accelerators for Deep Neural Networks (DNN) training are opening the way for an increasing use of DNN models in embedded systems. At the same time, as new data is continuously acquired, it is becoming a major c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94d69654b2497fc9b2c7d6cd90303495
https://doi.org/10.1109/aicas51828.2021.9458549
https://doi.org/10.1109/aicas51828.2021.9458549
Publikováno v:
IJCNN
In the field of Continual Learning, the objective is to learn several tasks one after the other without access to the data from previous tasks. Several solutions have been proposed to tackle this problem but they usually assume that the user knows wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::395416fec537d806d5b85ce1af1fb0b6
Autor:
C. Reita, Alexandre Valentian, F. Rummens, T. Mesquida, Elisa Vianello, Olivier Bichler, C. Lecat-Mathieu de Boissac
Publikováno v:
2019 IEEE International Electron Devices Meeting (IEDM)
2019 IEEE International Electron Devices Meeting (IEDM), Dec 2019, San Francisco, United States. pp.14.3.1-14.3.4, ⟨10.1109/IEDM19573.2019.8993431⟩
2019 IEEE International Electron Devices Meeting (IEDM), Dec 2019, San Francisco, United States. pp.14.3.1-14.3.4, ⟨10.1109/IEDM19573.2019.8993431⟩
International audience; This paper presents, to the best of the authors' knowledge, the first complete integration of a Spiking Neural Network, combining analog neurons and Resistive RAM (RRAM)-based synapses. The implemented topology is a perceptron
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7465d26ba164f4b178259c8e6aea3d0d
https://doi.org/10.1109/iedm19573.2019.8993431
https://doi.org/10.1109/iedm19573.2019.8993431
Autor:
Perrine Batude, Olivier Bichler, Laurent Millet, Sebastien Thuries, Alexandre Valentian, Karim Ben Chehida, Maria Lepecq, Monte Alegre, Thomas Dombek, Luis Cubero, Fabien Clermidy, Maxence Bouvier, Cheramy Severine, Pascal Vivet, Gilles Sicard, Stéphane Chevobbe, Didier Lattard
Publikováno v:
DATE
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE)
2019 Design, Automation & Test in Europe Conference & Exhibition (DATE)
Image Sensors will get more and more pervasive into their environment. In the context of Automotive and IoT, low cost image sensors, with high quality pixels, will embed more and more smart functions, such as the regular low level image processing bu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48814f190c67700056ca7626b9792353
https://doi.org/10.23919/date.2019.8714886
https://doi.org/10.23919/date.2019.8714886
Publikováno v:
2019 International Joint Conference on Neural Networks (IJCNN)
IJCNN
IJCNN
The increasing need for intelligent sensors in a wide range of everyday objects requires the existence of low power information processing systems which can operate autonomously in their environment. In particular, merging and processing the outputs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c200e54db23796c1f8b92f626f6e3ca
Publikováno v:
IJCNN
We introduce a deep spiking convolutional neural network of integrate-and-fire (IF) neurons, which extracts hierarchical features from a stream of event-based vision data in an unsupervised fashion and online. Our network operates with a simple spike
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b062f9df63b6758dbf266a9d3579417
https://doi.org/10.1109/ijcnn.2018.8489666
https://doi.org/10.1109/ijcnn.2018.8489666
Autor:
Elisa Vianello, Quentin Rafhay, Daniele Garbin, B. DeSalvo, Gerard Ghibaudo, Christian Gamrat, Luca Perniola, Olivier Bichler
Publikováno v:
IEEE Transactions on Electron Devices. 62:2494-2501
In this paper, the use of HfO2-based oxide-based resistive memory (OxRAM) devices operated in binary mode to implement synapses in a convolutional neural network (CNN) is studied. We employed an artificial synapse composed of multiple OxRAM cells con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dd464f75f61703f3d577320c70f0e3f7
https://doi.org/10.1109/ted.2015.2440102
https://doi.org/10.1109/ted.2015.2440102