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R Nassar

Showing results (31-40 of 126) with videos related to

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Neuroscience and Biobehavioral Reviews|June 18, 2021
Adaptive learning is structure learning in timeLinda Q Yu, Robert C Wilson, Matthew R Nassar
Micron (Oxford, England : 1993)|July 27, 1999
Microfabrication techniques using focused ion beams and emergent applicationsM J Vasile, R Nassar, J Xie, et al.
Nature Communications|August 22, 2025
Separable neural signals for reward and emotion prediction errorsJoseph Heffner, Romy Frömer, Matthew R Nassar, et al.
Neural Computation|June 24, 2010
Bayesian online learning of the hazard rate in change-point problemsRobert C Wilson, Matthew R Nassar, Joshua I Gold
Obstetrics and Gynecology|January 1, 1976
Massive edema of the ovary. A case report and a review of the literatureT R Nassar, L A Virgilio, R W Abdul-Karim
Journal of Cognitive Neuroscience|June 8, 2018
A Control Theoretic Model of Adaptive Learning in Dynamic EnvironmentsHarrison Ritz, Matthew R Nassar, Michael J Frank, et al.
Nature Human Behaviour|October 17, 2017
Arousal-related adjustments of perceptual biases optimize perception in dynamic environmentsKamesh Krishnamurthy, Matthew R Nassar, Shilpa Sarode, et al.
Scanning Electron Microscopy|January 1, 1986
The quick-freezing of single intact skeletal muscle fibers at known time intervals following electrical stimulationR Nassar, N R Wallace, I Taylor, et al.
Life Sciences|January 24, 1983
Can sympathomimetic agents be classified by their action on the force-interval relationship?A Manring, P A Anderson, R Nassar, et al.
Nature Human Behaviour|September 6, 2024
Common neural choice signals can emerge artefactually amid multiple distinct value signalsRomy Frömer, Matthew R Nassar, Benedikt V Ehinger, et al.
Pageof 13

Showing results (31-40 of 126) with videos related to

Sort By:
Pageof 13
Neuroscience and Biobehavioral Reviews|June 18, 2021
Adaptive learning is structure learning in timeLinda Q Yu, Robert C Wilson, Matthew R Nassar
Micron (Oxford, England : 1993)|July 27, 1999
Microfabrication techniques using focused ion beams and emergent applicationsM J Vasile, R Nassar, J Xie, et al.
Nature Communications|August 22, 2025
Separable neural signals for reward and emotion prediction errorsJoseph Heffner, Romy Frömer, Matthew R Nassar, et al.
Neural Computation|June 24, 2010
Bayesian online learning of the hazard rate in change-point problemsRobert C Wilson, Matthew R Nassar, Joshua I Gold
Obstetrics and Gynecology|January 1, 1976
Massive edema of the ovary. A case report and a review of the literatureT R Nassar, L A Virgilio, R W Abdul-Karim
Journal of Cognitive Neuroscience|June 8, 2018
A Control Theoretic Model of Adaptive Learning in Dynamic EnvironmentsHarrison Ritz, Matthew R Nassar, Michael J Frank, et al.
Nature Human Behaviour|October 17, 2017
Arousal-related adjustments of perceptual biases optimize perception in dynamic environmentsKamesh Krishnamurthy, Matthew R Nassar, Shilpa Sarode, et al.
Scanning Electron Microscopy|January 1, 1986
The quick-freezing of single intact skeletal muscle fibers at known time intervals following electrical stimulationR Nassar, N R Wallace, I Taylor, et al.
Life Sciences|January 24, 1983
Can sympathomimetic agents be classified by their action on the force-interval relationship?A Manring, P A Anderson, R Nassar, et al.
Nature Human Behaviour|September 6, 2024
Common neural choice signals can emerge artefactually amid multiple distinct value signalsRomy Frömer, Matthew R Nassar, Benedikt V Ehinger, et al.
Pageof 13