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Robert M French

Showing results (11-20 of 22) with videos related to

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Topics in Cognitive Science|June 20, 2012
Computational modeling in cognitive science: a manifesto for changeCaspar Addyman, Robert M French
Psychological Review|October 19, 2011
TRACX: a recognition-based connectionist framework for sequence segmentation and chunk extractionRobert M French, Caspar Addyman, Denis Mareschal
Cognitive Science|April 16, 2023
A Recurrent Connectionist Model of Melody Perception: An Exploration Using TRACX2Daniel Defays, Robert M French, Barbara Tillmann
Cognitive Science|November 18, 2022
Understanding the What and When of Analogical Reasoning Across Analogy Formats: An Eye-Tracking and Machine Learning ApproachJean-Pierre Thibaut, Yannick Glady, Robert M French
Behavior Research Methods|September 11, 2016
An evaluation of scanpath-comparison and machine-learning classification algorithms used to study the dynamics of analogy makingRobert M French, Yannick Glady, Jean-Pierre Thibaut
Frontiers in Psychology|June 8, 2017
Children's Failure in Analogical Reasoning Tasks: A Problem of Focus of Attention and Information Integration?Yannick Glady, Robert M French, Jean-Pierre Thibaut
Developmental Psychology|September 8, 2000
A connectionist account of asymmetric category learning in early infancyDenis Mareschal, Robert M French, Paul C Quinn
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 25, 2009
The application of machine learning algorithms to the analysis of electromyographic patterns from arthritic patientsSumitra S Nair, Robert M French, Davy Laroche, et al.
Journal of Experimental Psychology. General|September 10, 2004
The role of bottom-up processing in perceptual categorization by 3- to 4-month-old infants: simulations and dataRobert M French, Denis Mareschal, Martial Mermillod, et al.
Developmental Science|October 18, 2016
Across space and time: infants learn from backward and forward visual statisticsKristen Tummeltshammer, Dima Amso, Robert M French, et al.
Pageof 3

Showing results (11-20 of 22) with videos related to

Sort By:
Pageof 3
Topics in Cognitive Science|June 20, 2012
Computational modeling in cognitive science: a manifesto for changeCaspar Addyman, Robert M French
Psychological Review|October 19, 2011
TRACX: a recognition-based connectionist framework for sequence segmentation and chunk extractionRobert M French, Caspar Addyman, Denis Mareschal
Cognitive Science|April 16, 2023
A Recurrent Connectionist Model of Melody Perception: An Exploration Using TRACX2Daniel Defays, Robert M French, Barbara Tillmann
Cognitive Science|November 18, 2022
Understanding the What and When of Analogical Reasoning Across Analogy Formats: An Eye-Tracking and Machine Learning ApproachJean-Pierre Thibaut, Yannick Glady, Robert M French
Behavior Research Methods|September 11, 2016
An evaluation of scanpath-comparison and machine-learning classification algorithms used to study the dynamics of analogy makingRobert M French, Yannick Glady, Jean-Pierre Thibaut
Frontiers in Psychology|June 8, 2017
Children's Failure in Analogical Reasoning Tasks: A Problem of Focus of Attention and Information Integration?Yannick Glady, Robert M French, Jean-Pierre Thibaut
Developmental Psychology|September 8, 2000
A connectionist account of asymmetric category learning in early infancyDenis Mareschal, Robert M French, Paul C Quinn
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|September 25, 2009
The application of machine learning algorithms to the analysis of electromyographic patterns from arthritic patientsSumitra S Nair, Robert M French, Davy Laroche, et al.
Journal of Experimental Psychology. General|September 10, 2004
The role of bottom-up processing in perceptual categorization by 3- to 4-month-old infants: simulations and dataRobert M French, Denis Mareschal, Martial Mermillod, et al.
Developmental Science|October 18, 2016
Across space and time: infants learn from backward and forward visual statisticsKristen Tummeltshammer, Dima Amso, Robert M French, et al.
Pageof 3