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Neural Computation
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August 9, 2019
Machine Learning of Time Series Using Time-Delay Embedding and Precision Annealing
Alexander J A Ty, Zheng Fang, Rivver A Gonzalez, et al.
Neural Computation
|
December 16, 2021
Convolution-Based Model-Solving Method for Three-Dimensional, Unsteady, Partial Differential Equations
Wenshu Zha, Wen Zhang, Daolun Li, et al.
Neural Computation
|
December 16, 2021
Model Based or Model Free? Comparing Adaptive Methods for Estimating Thresholds in Neuroscience
Julien Audiffren, Jean-Pierre Bresciani
Neural Computation
|
November 10, 2021
Confidence-Controlled Hebbian Learning Efficiently Extracts Category Membership From Stimuli Encoded in View of a Categorization Task
Kevin Berlemont, Jean-Pierre Nadal
Neural Computation
|
November 10, 2021
Predictive Coding, Variational Autoencoders, and Biological Connections
Joseph Marino
Neural Computation
|
July 24, 2019
Learning with Precise Spike Times: A New Decoding Algorithm for Liquid State Machines
Dorian Florescu, Daniel Coca
Neural Computation
|
July 24, 2019
Decoding Hidden Cognitive States From Behavior and Physiology Using a Bayesian Approach
Ali Yousefi, Ishita Basu, Angelique C Paulk, et al.
Neural Computation
|
February 1, 2014
Large-scale linear rankSVM
Ching-Pei Lee, Chih-Jen Lin
Neural Computation
|
February 1, 2014
Input statistics and Hebbian cross-talk effects
Anca Rădulescu
Neural Computation
|
June 7, 2008
Latent features in similarity judgments: a nonparametric bayesian approach
Daniel J Navarro, Thomas L Griffiths
Page
of 300
Search research articles
Search
Showing results (281-290 of 3,000) with videos related to
Sort By:
Page
of 300
Neural Computation
|
August 9, 2019
Machine Learning of Time Series Using Time-Delay Embedding and Precision Annealing
Alexander J A Ty, Zheng Fang, Rivver A Gonzalez, et al.
Neural Computation
|
December 16, 2021
Convolution-Based Model-Solving Method for Three-Dimensional, Unsteady, Partial Differential Equations
Wenshu Zha, Wen Zhang, Daolun Li, et al.
Neural Computation
|
December 16, 2021
Model Based or Model Free? Comparing Adaptive Methods for Estimating Thresholds in Neuroscience
Julien Audiffren, Jean-Pierre Bresciani
Neural Computation
|
November 10, 2021
Confidence-Controlled Hebbian Learning Efficiently Extracts Category Membership From Stimuli Encoded in View of a Categorization Task
Kevin Berlemont, Jean-Pierre Nadal
Neural Computation
|
November 10, 2021
Predictive Coding, Variational Autoencoders, and Biological Connections
Joseph Marino
Neural Computation
|
July 24, 2019
Learning with Precise Spike Times: A New Decoding Algorithm for Liquid State Machines
Dorian Florescu, Daniel Coca
Neural Computation
|
July 24, 2019
Decoding Hidden Cognitive States From Behavior and Physiology Using a Bayesian Approach
Ali Yousefi, Ishita Basu, Angelique C Paulk, et al.
Neural Computation
|
February 1, 2014
Large-scale linear rankSVM
Ching-Pei Lee, Chih-Jen Lin
Neural Computation
|
February 1, 2014
Input statistics and Hebbian cross-talk effects
Anca Rădulescu
Neural Computation
|
June 7, 2008
Latent features in similarity judgments: a nonparametric bayesian approach
Daniel J Navarro, Thomas L Griffiths
Page
of 300