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

Bruno Cessac

Showing results (11-20 of 29) with videos related to

Pageof 3
Sort By:
Neural Computation|October 21, 2016
On the Mathematical Consequences of Binning Spike TrainsBruno Cessac, Arnaud Le Ny, Eva Löcherbach
Journal of Physiology, Paris|November 21, 2009
Overview of facts and issues about neural coding by spikesBruno Cessac, Hélène Paugam-Moisy, Thierry Viéville
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|September 20, 2013
Effects of cellular homeostatic intrinsic plasticity on dynamical and computational properties of biological recurrent neural networksJérémie Naudé, Bruno Cessac, Hugues Berry, et al.
Neural Computation|April 26, 2024
How Does the Inner Retinal Network Shape the Ganglion Cells Receptive Field? A Computational StudyEvgenia Kartsaki, Gerrit Hilgen, Evelyne Sernagor, et al.
Journal of Physiology, Paris|November 29, 2007
Effects of Hebbian learning on the dynamics and structure of random networks with inhibitory and excitatory neuronsBenoît Siri, Mathias Quoy, Bruno Delord, et al.
Neural Networks : the Official Journal of the International Neural Network Society|March 29, 2003
Self-organization and dynamics reduction in recurrent networks: stimulus presentation and learningManuel Samuelides, Bernard Doyon, Bruno Cessac, et al.
Neural Computation|July 16, 2008
A mathematical analysis of the effects of Hebbian learning rules on the dynamics and structure of discrete-time random recurrent neural networksBenoît Siri, Hugues Berry, Bruno Cessac, et al.
Journal of Physiology, Paris|October 4, 2011
The role of the asymptotic dynamics in the design of FPGA-based hardware implementations of gIF-type neural networksHoracio Rostro-Gonzalez, Bruno Cessac, Bernard Girau, et al.
Open Biology|March 9, 2022
A novel approach to the functional classification of retinal ganglion cellsGerrit Hilgen, Evgenia Kartsaki, Viktoriia Kartysh, et al.
Frontiers in Systems Neuroscience|May 5, 2020
Ghost Attractors in Spontaneous Brain Activity: Recurrent Excursions Into Functionally-Relevant BOLD Phase-Locking StatesJakub Vohryzek, Gustavo Deco, Bruno Cessac, et al.
Pageof 3

Showing results (11-20 of 29) with videos related to

Sort By:
Pageof 3
Neural Computation|October 21, 2016
On the Mathematical Consequences of Binning Spike TrainsBruno Cessac, Arnaud Le Ny, Eva Löcherbach
Journal of Physiology, Paris|November 21, 2009
Overview of facts and issues about neural coding by spikesBruno Cessac, Hélène Paugam-Moisy, Thierry Viéville
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|September 20, 2013
Effects of cellular homeostatic intrinsic plasticity on dynamical and computational properties of biological recurrent neural networksJérémie Naudé, Bruno Cessac, Hugues Berry, et al.
Neural Computation|April 26, 2024
How Does the Inner Retinal Network Shape the Ganglion Cells Receptive Field? A Computational StudyEvgenia Kartsaki, Gerrit Hilgen, Evelyne Sernagor, et al.
Journal of Physiology, Paris|November 29, 2007
Effects of Hebbian learning on the dynamics and structure of random networks with inhibitory and excitatory neuronsBenoît Siri, Mathias Quoy, Bruno Delord, et al.
Neural Networks : the Official Journal of the International Neural Network Society|March 29, 2003
Self-organization and dynamics reduction in recurrent networks: stimulus presentation and learningManuel Samuelides, Bernard Doyon, Bruno Cessac, et al.
Neural Computation|July 16, 2008
A mathematical analysis of the effects of Hebbian learning rules on the dynamics and structure of discrete-time random recurrent neural networksBenoît Siri, Hugues Berry, Bruno Cessac, et al.
Journal of Physiology, Paris|October 4, 2011
The role of the asymptotic dynamics in the design of FPGA-based hardware implementations of gIF-type neural networksHoracio Rostro-Gonzalez, Bruno Cessac, Bernard Girau, et al.
Open Biology|March 9, 2022
A novel approach to the functional classification of retinal ganglion cellsGerrit Hilgen, Evgenia Kartsaki, Viktoriia Kartysh, et al.
Frontiers in Systems Neuroscience|May 5, 2020
Ghost Attractors in Spontaneous Brain Activity: Recurrent Excursions Into Functionally-Relevant BOLD Phase-Locking StatesJakub Vohryzek, Gustavo Deco, Bruno Cessac, et al.
Pageof 3