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Matthew R Nassar

Showing results (11-20 of 55) with videos related to

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Elife|June 14, 2024
Correction: Statistical context dictates the relationship between feedback-related EEG signals and learningMatthew R Nassar, Rasmus Bruckner, Michael J Frank
Elife|August 22, 2019
Statistical context dictates the relationship between feedback-related EEG signals and learningMatthew R Nassar, Rasmus Bruckner, Michael J Frank
Plos Computational Biology|August 13, 2013
A mixture of delta-rules approximation to bayesian inference in change-point problemsRobert C Wilson, Matthew R Nassar, Joshua I Gold
Psychological Review|June 29, 2018
Chunking as a rational strategy for lossy data compression in visual working memoryMatthew R Nassar, Julie C Helmers, Michael J Frank
Neuroscience and Biobehavioral Reviews|June 18, 2021
Adaptive learning is structure learning in timeLinda Q Yu, Robert C Wilson, Matthew R Nassar
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
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.
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 6

Showing results (11-20 of 55) with videos related to

Sort By:
Pageof 6
Elife|June 14, 2024
Correction: Statistical context dictates the relationship between feedback-related EEG signals and learningMatthew R Nassar, Rasmus Bruckner, Michael J Frank
Elife|August 22, 2019
Statistical context dictates the relationship between feedback-related EEG signals and learningMatthew R Nassar, Rasmus Bruckner, Michael J Frank
Plos Computational Biology|August 13, 2013
A mixture of delta-rules approximation to bayesian inference in change-point problemsRobert C Wilson, Matthew R Nassar, Joshua I Gold
Psychological Review|June 29, 2018
Chunking as a rational strategy for lossy data compression in visual working memoryMatthew R Nassar, Julie C Helmers, Michael J Frank
Neuroscience and Biobehavioral Reviews|June 18, 2021
Adaptive learning is structure learning in timeLinda Q Yu, Robert C Wilson, Matthew R Nassar
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
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.
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 6