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Roland E Suri

Showing results (1-10 of 6) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|October 10, 2002
TD models of reward predictive responses in dopamine neuronsRoland E Suri
Biological Cybernetics|August 19, 2004
A computational framework for cortical learningRoland E Suri
Biological Cybernetics|December 4, 2002
Spike propagation synchronized by temporally asymmetric Hebbian learningRoland E Suri, Terrence J Sejnowski
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoringMattia Zanon, Michela Riz, Giovanni Sparacino, et al.
Medical & Biological Engineering & Computing|June 23, 2012
Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor systemMattia Zanon, Giovanni Sparacino, Andrea Facchinetti, et al.
Biosensors & Bioelectronics|April 16, 2011
Characteristics of a multisensor system for non invasive glucose monitoring with external validation and prospective evaluationAndreas Caduff, Martin Mueller, Alexander Megej, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Neural Networks : the Official Journal of the International Neural Network Society|October 10, 2002
TD models of reward predictive responses in dopamine neuronsRoland E Suri
Biological Cybernetics|August 19, 2004
A computational framework for cortical learningRoland E Suri
Biological Cybernetics|December 4, 2002
Spike propagation synchronized by temporally asymmetric Hebbian learningRoland E Suri, Terrence J Sejnowski
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Assessment of linear regression techniques for modeling multisensor data for non-invasive continuous glucose monitoringMattia Zanon, Michela Riz, Giovanni Sparacino, et al.
Medical & Biological Engineering & Computing|June 23, 2012
Non-invasive continuous glucose monitoring: improved accuracy of point and trend estimates of the Multisensor systemMattia Zanon, Giovanni Sparacino, Andrea Facchinetti, et al.
Biosensors & Bioelectronics|April 16, 2011
Characteristics of a multisensor system for non invasive glucose monitoring with external validation and prospective evaluationAndreas Caduff, Martin Mueller, Alexander Megej, et al.
Pageof 1