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

Walter Senn

Showing results (31-40 of 73) with videos related to

Pageof 8
Sort By:
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|June 7, 2013
Matching recall and storage in sequence learning with spiking neural networksJohanni Brea, Walter Senn, Jean-Pascal Pfister
Elife|April 25, 2022
Natural-gradient learning for spiking neuronsElena Kreutzer, Walter Senn, Mihai A Petrovici
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|April 2, 2004
Climbing neuronal activity as an event-based cortical representation of timeJan Reutimann, Volodya Yakovlev, Stefano Fusi, et al.
Cerebral Cortex (New York, N.Y. : 1991)|April 30, 2004
Top-down dendritic input increases the gain of layer 5 pyramidal neuronsMatthew E Larkum, Walter Senn, Hans-R Lüscher
Neuroscience and Biobehavioral Reviews|December 14, 2023
Learning beyond sensations: How dreams organize neuronal representationsNicolas Deperrois, Mihai A Petrovici, Walter Senn, et al.
Elife|October 28, 2021
Evolving interpretable plasticity for spiking networksJakob Jordan, Maximilian Schmidt, Walter Senn, et al.
Plos Computational Biology|June 25, 2016
Prospective Coding by Spiking NeuronsJohanni Brea, Alexisz Tamás Gaál, Robert Urbanczik, et al.
Biological Cybernetics|January 21, 2009
Learning flexible sensori-motor mappings in a complex networkEleni Vasilaki, Stefano Fusi, Xiao-Jing Wang, et al.
Biological Cybernetics|November 18, 2008
The response of cortical neurons to in vivo-like input current: theory and experiment: II. Time-varying and spatially distributed inputsMichele Giugliano, Giancarlo La Camera, Stefano Fusi, et al.
Biological Cybernetics|November 6, 2008
The response of cortical neurons to in vivo-like input current: theory and experiment : I. Noisy inputs with stationary statisticsGiancarlo La Camera, Michele Giugliano, Walter Senn, et al.
Pageof 8

Showing results (31-40 of 73) with videos related to

Sort By:
Pageof 8
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|June 7, 2013
Matching recall and storage in sequence learning with spiking neural networksJohanni Brea, Walter Senn, Jean-Pascal Pfister
Elife|April 25, 2022
Natural-gradient learning for spiking neuronsElena Kreutzer, Walter Senn, Mihai A Petrovici
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|April 2, 2004
Climbing neuronal activity as an event-based cortical representation of timeJan Reutimann, Volodya Yakovlev, Stefano Fusi, et al.
Cerebral Cortex (New York, N.Y. : 1991)|April 30, 2004
Top-down dendritic input increases the gain of layer 5 pyramidal neuronsMatthew E Larkum, Walter Senn, Hans-R Lüscher
Neuroscience and Biobehavioral Reviews|December 14, 2023
Learning beyond sensations: How dreams organize neuronal representationsNicolas Deperrois, Mihai A Petrovici, Walter Senn, et al.
Elife|October 28, 2021
Evolving interpretable plasticity for spiking networksJakob Jordan, Maximilian Schmidt, Walter Senn, et al.
Plos Computational Biology|June 25, 2016
Prospective Coding by Spiking NeuronsJohanni Brea, Alexisz Tamás Gaál, Robert Urbanczik, et al.
Biological Cybernetics|January 21, 2009
Learning flexible sensori-motor mappings in a complex networkEleni Vasilaki, Stefano Fusi, Xiao-Jing Wang, et al.
Biological Cybernetics|November 18, 2008
The response of cortical neurons to in vivo-like input current: theory and experiment: II. Time-varying and spatially distributed inputsMichele Giugliano, Giancarlo La Camera, Stefano Fusi, et al.
Biological Cybernetics|November 6, 2008
The response of cortical neurons to in vivo-like input current: theory and experiment : I. Noisy inputs with stationary statisticsGiancarlo La Camera, Michele Giugliano, Walter Senn, et al.
Pageof 8