Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Laurent Perrinet

Showing results (1-10 of 13) with videos related to

Pageof 2
Sort By:
Journal of Physiology, Paris|November 29, 2005
Feature detection using spikes: the greedy approachLaurent Perrinet
Journal of Physiology, Paris|November 14, 2009
Computational neuroscience, from multiple levels to multi-levelEmmanuel Daucé, Laurent Perrinet
Journal of Physiology, Paris|November 14, 2009
Phase space analysis of networks based on biologically realistic parametersNicole Voges, Laurent Perrinet
IEEE Transactions on Neural Networks|October 16, 2004
Coding static natural images using spiking event times: do neurons cooperate?Laurent Perrinet, Manuel Samuelides, Simon Thorpe
Journal of Neurophysiology|December 17, 2010
Saccadic foveation of a moving visual target in the rhesus monkeyJérome Fleuriet, Sandrine Hugues, Laurent Perrinet, et al.
Neural Computation|September 18, 2020
Effect of Top-Down Connections in Hierarchical Sparse CodingVictor Boutin, Angelo Franciosini, Franck Ruffier, et al.
Frontiers in Psychology|June 2, 2012
Perceptions as hypotheses: saccades as experimentsKarl Friston, Rick A Adams, Laurent Perrinet, et al.
Plos Computational Biology|January 26, 2021
Sparse deep predictive coding captures contour integration capabilities of the early visual systemVictor Boutin, Angelo Franciosini, Frederic Chavane, et al.
Journal of Physiology, Paris|November 27, 2007
Bayesian modeling of dynamic motion integrationAnna Montagnini, Pascal Mamassian, Laurent Perrinet, et al.
Nature Communications|October 1, 2025
A predictive approach to enhance time-series forecastingSkye Gunasekaran, Assel Kembay, Hugo Ladret, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Journal of Physiology, Paris|November 29, 2005
Feature detection using spikes: the greedy approachLaurent Perrinet
Journal of Physiology, Paris|November 14, 2009
Computational neuroscience, from multiple levels to multi-levelEmmanuel Daucé, Laurent Perrinet
Journal of Physiology, Paris|November 14, 2009
Phase space analysis of networks based on biologically realistic parametersNicole Voges, Laurent Perrinet
IEEE Transactions on Neural Networks|October 16, 2004
Coding static natural images using spiking event times: do neurons cooperate?Laurent Perrinet, Manuel Samuelides, Simon Thorpe
Journal of Neurophysiology|December 17, 2010
Saccadic foveation of a moving visual target in the rhesus monkeyJérome Fleuriet, Sandrine Hugues, Laurent Perrinet, et al.
Neural Computation|September 18, 2020
Effect of Top-Down Connections in Hierarchical Sparse CodingVictor Boutin, Angelo Franciosini, Franck Ruffier, et al.
Frontiers in Psychology|June 2, 2012
Perceptions as hypotheses: saccades as experimentsKarl Friston, Rick A Adams, Laurent Perrinet, et al.
Plos Computational Biology|January 26, 2021
Sparse deep predictive coding captures contour integration capabilities of the early visual systemVictor Boutin, Angelo Franciosini, Frederic Chavane, et al.
Journal of Physiology, Paris|November 27, 2007
Bayesian modeling of dynamic motion integrationAnna Montagnini, Pascal Mamassian, Laurent Perrinet, et al.
Nature Communications|October 1, 2025
A predictive approach to enhance time-series forecastingSkye Gunasekaran, Assel Kembay, Hugo Ladret, et al.
Pageof 2