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Mareschal

Showing results (21-30 of 352) with videos related to

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Neural Networks : the Official Journal of the International Neural Network Society|March 31, 2022
Selective particle attention: Rapidly and flexibly selecting features for deep reinforcement learningSam Blakeman, Denis Mareschal
Physical Review. A, Atomic, Molecular, and Optical Physics|May 15, 1992
Dynamic structure factor in a nonequilibrium fluid: A molecular-dynamics approachMareschal, Mansour, Sonnino, et al.
Child Development|February 26, 2013
Local redundancy governs infants' spontaneous orienting to visual-temporal sequencesCaspar Addyman, Denis Mareschal
Infancy : the Official Journal of the International Society on Infant Studies|January 6, 2021
From Parts to Wholes: Mechanisms of Development in Infant Visual Object ProcessingGert Westermann, Denis Mareschal
Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics|January 1, 1993
Modeling shock waves in an ideal gas: Going beyond the Navier-Stokes levelHolian, Patterson, Mareschal, et al.
Plos One|July 12, 2014
Labels direct infants' attention to commonalities during novel category learningNadja Althaus, Denis Mareschal
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 12, 2001
Origin of the hydrodynamic Lyapunov modesS McNamara, M Mareschal
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 21, 2001
Lyapunov spectrum of granular gasesS McNamara, M Mareschal
Neural Networks : the Official Journal of the International Neural Network Society|November 6, 2019
A complementary learning systems approach to temporal difference learningSam Blakeman, Denis Mareschal
Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics|November 23, 2000
Nonlinear analysis of the shearing instability in granular gasesSoto, Mareschal, Malek Mansour M
Pageof 36

Showing results (21-30 of 352) with videos related to

Sort By:
Pageof 36
Neural Networks : the Official Journal of the International Neural Network Society|March 31, 2022
Selective particle attention: Rapidly and flexibly selecting features for deep reinforcement learningSam Blakeman, Denis Mareschal
Physical Review. A, Atomic, Molecular, and Optical Physics|May 15, 1992
Dynamic structure factor in a nonequilibrium fluid: A molecular-dynamics approachMareschal, Mansour, Sonnino, et al.
Child Development|February 26, 2013
Local redundancy governs infants' spontaneous orienting to visual-temporal sequencesCaspar Addyman, Denis Mareschal
Infancy : the Official Journal of the International Society on Infant Studies|January 6, 2021
From Parts to Wholes: Mechanisms of Development in Infant Visual Object ProcessingGert Westermann, Denis Mareschal
Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics|January 1, 1993
Modeling shock waves in an ideal gas: Going beyond the Navier-Stokes levelHolian, Patterson, Mareschal, et al.
Plos One|July 12, 2014
Labels direct infants' attention to commonalities during novel category learningNadja Althaus, Denis Mareschal
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 12, 2001
Origin of the hydrodynamic Lyapunov modesS McNamara, M Mareschal
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|June 21, 2001
Lyapunov spectrum of granular gasesS McNamara, M Mareschal
Neural Networks : the Official Journal of the International Neural Network Society|November 6, 2019
A complementary learning systems approach to temporal difference learningSam Blakeman, Denis Mareschal
Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics|November 23, 2000
Nonlinear analysis of the shearing instability in granular gasesSoto, Mareschal, Malek Mansour M
Pageof 36