Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Damien Drix"'
Autor:
Nicolas P. Rougier, Konrad Hinsen, Frédéric Alexandre, Thomas Arildsen, Lorena A. Barba, Fabien C.Y. Benureau, C. Titus Brown, Pierre de Buyl, Ozan Caglayan, Andrew P. Davison, Marc-André Delsuc, Georgios Detorakis, Alexandra K. Diem, Damien Drix, Pierre Enel, Benoît Girard, Olivia Guest, Matt G. Hall, Rafael N. Henriques, Xavier Hinaut, Kamil S. Jaron, Mehdi Khamassi, Almar Klein, Tiina Manninen, Pietro Marchesi, Daniel McGlinn, Christoph Metzner, Owen Petchey, Hans Ekkehard Plesser, Timothée Poisot, Karthik Ram, Yoav Ram, Etienne Roesch, Cyrille Rossant, Vahid Rostami, Aaron Shifman, Joseph Stachelek, Marcel Stimberg, Frank Stollmeier, Federico Vaggi, Guillaume Viejo, Julien Vitay, Anya E. Vostinar, Roman Yurchak, Tiziano Zito
Publikováno v:
PeerJ Computer Science, Vol 3, p e142 (2017)
Computer science offers a large set of tools for prototyping, writing, running, testing, validating, sharing and reproducing results; however, computational science lags behind. In the best case, authors may provide their source code as a compressed
Externí odkaz:
https://doaj.org/article/55a5db62f618401cbb64c77165d3988b
Publikováno v:
Neuro-Inspired Computational Elements Conference.
Publikováno v:
Neural Networks
Cortical neurons are silent most of the time. This sparse activity is energy efficient, and the resulting neural code has favourable properties for associative learning. Most neural models of sparse coding use some form of homeostasis to ensure that
Autor:
Damien Drix
Sparse coding is an effective operating principle for the brain, one that can guide the discovery of features and support the learning of assocations. Here we show how spiking neurons with discrete dendrites can learn sparse codes via an online, nonl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abbd4d04bbe994f4d03c54e2057bcf70
Autor:
Damien Drix, Thomas Nowotny
Publikováno v:
BMC Neuroscience, Vol 12, Iss Suppl 1, p P238 (2011)
BMC Neuroscience
BMC Neuroscience
To date, the gold standard for characterizing neuronsand assessing the action of drugs on them are voltageclamp protocols in patch clamp recordings [1]. How-ever, it is now clear that the classical procedure, wheremeasurements performed using constan