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

Arunava Banerjee

Showing results (1-10 of 21) with videos related to

Pageof 3
Sort By:
Neural Computation|March 5, 2016
Learning Precise Spike Train-to-Spike Train Transformations in Multilayer Feedforward Neuronal NetworksArunava Banerjee
Journal of Computational Neuroscience|May 10, 2006
On the sensitive dependence on initial conditions of the dynamics of networks of spiking neuronsArunava Banerjee
Journal of Computational Neuroscience|April 3, 2014
Connectomic constraints on computation in feedforward networks of spiking neuronsVenkatakrishnan Ramaswamy, Arunava Banerjee
Neural Computation|April 16, 2011
A finite-sample, distribution-free, probabilistic lower bound on mutual informationNathan D VanderKraats, Arunava Banerjee
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 17, 2009
Probability density estimation using isocontours and isosurfaces: applications to information-theoretic image registrationAjit Rajwade, Arunava Banerjee, Anand Rangarajan
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition|August 19, 2010
A New Method of Probability Density Estimation with Application to Mutual Information Based Image RegistrationAjit Rajwade, Arunava Banerjee, Anand Rangarajan
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 27, 2012
Image denoising using the higher order singular value decompositionAjit Rajwade, Anand Rangarajan, Arunava Banerjee
Neural Computation|December 19, 2007
Dynamical constraints on using precise spike timing to compute in recurrent cortical networksArunava Banerjee, Peggy Seriès, Alexandre Pouget
Bioinformatics (Oxford, England)|July 31, 2007
BLISS 2.0: a web-based tool for predicting conserved regulatory modules in distantly-related orthologous sequencesHailong Meng, Arunava Banerjee, Lei Zhou
BMC Bioinformatics|June 8, 2006
BLISS: binding site level identification of shared signal-modules in DNA regulatory sequencesHailong Meng, Arunava Banerjee, Lei Zhou
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Neural Computation|March 5, 2016
Learning Precise Spike Train-to-Spike Train Transformations in Multilayer Feedforward Neuronal NetworksArunava Banerjee
Journal of Computational Neuroscience|May 10, 2006
On the sensitive dependence on initial conditions of the dynamics of networks of spiking neuronsArunava Banerjee
Journal of Computational Neuroscience|April 3, 2014
Connectomic constraints on computation in feedforward networks of spiking neuronsVenkatakrishnan Ramaswamy, Arunava Banerjee
Neural Computation|April 16, 2011
A finite-sample, distribution-free, probabilistic lower bound on mutual informationNathan D VanderKraats, Arunava Banerjee
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 17, 2009
Probability density estimation using isocontours and isosurfaces: applications to information-theoretic image registrationAjit Rajwade, Arunava Banerjee, Anand Rangarajan
Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition|August 19, 2010
A New Method of Probability Density Estimation with Application to Mutual Information Based Image RegistrationAjit Rajwade, Arunava Banerjee, Anand Rangarajan
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 27, 2012
Image denoising using the higher order singular value decompositionAjit Rajwade, Anand Rangarajan, Arunava Banerjee
Neural Computation|December 19, 2007
Dynamical constraints on using precise spike timing to compute in recurrent cortical networksArunava Banerjee, Peggy Seriès, Alexandre Pouget
Bioinformatics (Oxford, England)|July 31, 2007
BLISS 2.0: a web-based tool for predicting conserved regulatory modules in distantly-related orthologous sequencesHailong Meng, Arunava Banerjee, Lei Zhou
BMC Bioinformatics|June 8, 2006
BLISS: binding site level identification of shared signal-modules in DNA regulatory sequencesHailong Meng, Arunava Banerjee, Lei Zhou
Pageof 3