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Thomas P Trappenberg

Showing results (1-10 of 11) with videos related to

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Frontiers in Neurorobotics|July 30, 2019
A Novel Model for Arbitration Between Planning and Habitual Control SystemsFarzaneh Sheikhnezhad Fard, Thomas P Trappenberg
Neural Networks : the Official Journal of the International Neural Network Society|November 5, 2008
Modeling the integration of expectations in visual search with centre-surround neural fieldsJoshua P Salmon, Thomas P Trappenberg
Proceedings. Biological Sciences|June 14, 2002
A unified model of spatial and episodic memoryEdmund T Rolls, Simon M Stringer, Thomas P Trappenberg
Neural Networks : the Official Journal of the International Neural Network Society|August 10, 2005
Modelling divided visual attention with a winner-take-all networkDominic I Standage, Thomas P Trappenberg, Raymond M Klein
Learning & Behavior|July 2, 2013
An elemental model of retrospective revaluation without within-compound associationsPatrick C Connor, Vincent M Lolordo, Thomas P Trappenberg
Learning & Behavior|January 31, 2014
Erratum to: An elemental model of retrospective revaluation without within-compound associationsPatrick C Connor, Vincent M Lolordo, Thomas P Trappenberg
Neural Networks : the Official Journal of the International Neural Network Society|November 13, 2015
Modeling human target reaching with an adaptive observer implemented with dynamic neural fieldsFarzaneh S Fard, Paul Hollensen, Dietmar Heinke, et al.
Journal of Cognitive Neuroscience|September 28, 2011
Spatial interactions in the superior colliculus predict saccade behavior in a neural field modelRobert A Marino, Thomas P Trappenberg, Michael Dorris, et al.
International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology|March 20, 2018
Learning what matters: A neural explanation for the sparsity biasCameron D Hassall, Patrick C Connor, Thomas P Trappenberg, et al.
Brain Informatics|October 18, 2016
Detection of event-related potentials in individual subjects using support vector machinesHossein Parvar, Lauren Sculthorpe-Petley, Jason Satel, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Frontiers in Neurorobotics|July 30, 2019
A Novel Model for Arbitration Between Planning and Habitual Control SystemsFarzaneh Sheikhnezhad Fard, Thomas P Trappenberg
Neural Networks : the Official Journal of the International Neural Network Society|November 5, 2008
Modeling the integration of expectations in visual search with centre-surround neural fieldsJoshua P Salmon, Thomas P Trappenberg
Proceedings. Biological Sciences|June 14, 2002
A unified model of spatial and episodic memoryEdmund T Rolls, Simon M Stringer, Thomas P Trappenberg
Neural Networks : the Official Journal of the International Neural Network Society|August 10, 2005
Modelling divided visual attention with a winner-take-all networkDominic I Standage, Thomas P Trappenberg, Raymond M Klein
Learning & Behavior|July 2, 2013
An elemental model of retrospective revaluation without within-compound associationsPatrick C Connor, Vincent M Lolordo, Thomas P Trappenberg
Learning & Behavior|January 31, 2014
Erratum to: An elemental model of retrospective revaluation without within-compound associationsPatrick C Connor, Vincent M Lolordo, Thomas P Trappenberg
Neural Networks : the Official Journal of the International Neural Network Society|November 13, 2015
Modeling human target reaching with an adaptive observer implemented with dynamic neural fieldsFarzaneh S Fard, Paul Hollensen, Dietmar Heinke, et al.
Journal of Cognitive Neuroscience|September 28, 2011
Spatial interactions in the superior colliculus predict saccade behavior in a neural field modelRobert A Marino, Thomas P Trappenberg, Michael Dorris, et al.
International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology|March 20, 2018
Learning what matters: A neural explanation for the sparsity biasCameron D Hassall, Patrick C Connor, Thomas P Trappenberg, et al.
Brain Informatics|October 18, 2016
Detection of event-related potentials in individual subjects using support vector machinesHossein Parvar, Lauren Sculthorpe-Petley, Jason Satel, et al.
Pageof 2