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

Neural computation

Showing results (1351-1360 of 2,986) with videos related to

Pageof 299
Sort By:
Neural Computation|June 7, 2008
Mutual information expansion for studying the role of correlations in population codes: how important are autocorrelations?A Scaglione, G Foffani, G Scannella, et al.
Neural Computation|November 10, 2021
A Double-Layer Multi-Resolution Classification Model for Decoding Spatiotemporal Patterns of Spikes With Small Sample SizeXiwei She, Theodore W Berger, Dong Song
Neural Computation|November 15, 2012
Enhanced gradient for training restricted Boltzmann machinesKyunghyun Cho, Tapani Raiko, Alexander Ilin
Neural Computation|June 1, 2014
Bayesian active learning of neural firing rate maps with transformed gaussian process priorsMijung Park, J Patrick Weller, Gregory D Horwitz, et al.
Neural Computation|June 13, 2014
Sparseness, antisparseness and anything in between: the operating point of a neuron determines its computational repertoireTerry Elliott
Neural Computation|June 13, 2014
Influence of external inputs and asymmetry of connections on information-geometric measures involving up to ten neuronal interactionsYimin Nie, Jean-Marc Fellous, Masami Tatsuno
Neural Computation|September 14, 2012
Active subspace: toward scalable low-rank learningGuangcan Liu, Shuicheng Yan
Neural Computation|September 14, 2012
Self-consistent learning of the environmentKukjin Kang, Shun-ichi Amari
Neural Computation|September 14, 2012
Pavlov's dog associative learning demonstrated on synaptic-like organic transistorsO Bichler, W Zhao, F Alibart, et al.
Neural Computation|August 11, 1998
Bias/Variance Decompositions for Likelihood-Based EstimatorsHeskes
Pageof 299

Showing results (1351-1360 of 2,986) with videos related to

Sort By:
Pageof 299
Neural Computation|June 7, 2008
Mutual information expansion for studying the role of correlations in population codes: how important are autocorrelations?A Scaglione, G Foffani, G Scannella, et al.
Neural Computation|November 10, 2021
A Double-Layer Multi-Resolution Classification Model for Decoding Spatiotemporal Patterns of Spikes With Small Sample SizeXiwei She, Theodore W Berger, Dong Song
Neural Computation|November 15, 2012
Enhanced gradient for training restricted Boltzmann machinesKyunghyun Cho, Tapani Raiko, Alexander Ilin
Neural Computation|June 1, 2014
Bayesian active learning of neural firing rate maps with transformed gaussian process priorsMijung Park, J Patrick Weller, Gregory D Horwitz, et al.
Neural Computation|June 13, 2014
Sparseness, antisparseness and anything in between: the operating point of a neuron determines its computational repertoireTerry Elliott
Neural Computation|June 13, 2014
Influence of external inputs and asymmetry of connections on information-geometric measures involving up to ten neuronal interactionsYimin Nie, Jean-Marc Fellous, Masami Tatsuno
Neural Computation|September 14, 2012
Active subspace: toward scalable low-rank learningGuangcan Liu, Shuicheng Yan
Neural Computation|September 14, 2012
Self-consistent learning of the environmentKukjin Kang, Shun-ichi Amari
Neural Computation|September 14, 2012
Pavlov's dog associative learning demonstrated on synaptic-like organic transistorsO Bichler, W Zhao, F Alibart, et al.
Neural Computation|August 11, 1998
Bias/Variance Decompositions for Likelihood-Based EstimatorsHeskes
Pageof 299