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Cognitive, Affective & Behavioral Neuroscience
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February 17, 2021
Correction to: The stability flexibility tradeoff and the dark side of detail
Matthew R Nassar, Vanessa Troiani
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|
February 2, 2022
Adaptive Learning through Temporal Dynamics of State Representation
Niloufar Razmi, Matthew R Nassar
Trends in Cognitive Sciences
|
September 29, 2021
The computational challenge of social learning
Oriel FeldmanHall, Matthew R Nassar
Cognitive, Affective & Behavioral Neuroscience
|
November 25, 2020
The stability flexibility tradeoff and the dark side of detail
Matthew R Nassar, Vanessa Troiani
Current Opinion in Behavioral Sciences
|
August 31, 2016
Taming the beast: extracting generalizable knowledge from computational models of cognition
Matthew R Nassar, Michael J Frank
Plos Computational Biology
|
April 18, 2013
A healthy fear of the unknown: perspectives on the interpretation of parameter fits from computational models in neuroscience
Matthew R Nassar, Joshua I Gold
The Behavioral and Brain Sciences
|
March 29, 2017
What do we GANE with age?
Matthew R Nassar, Rasmus Bruckner, Ben Eppinger
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|
July 1, 2021
Noise Correlations for Faster and More Robust Learning
Matthew R Nassar, Daniel Scott, Apoorva Bhandari
Elife
|
July 3, 2023
Prefrontal cortex state representations shape human credit assignment
Amrita Lamba, Matthew R Nassar, Oriel FeldmanHall
Communications Psychology
|
February 13, 2025
Understanding learning through uncertainty and bias
Rasmus Bruckner, Hauke R Heekeren, Matthew R Nassar
Page
of 6
Search research articles
Search
Showing results (1-10 of 55) with videos related to
Sort By:
Page
of 6
Cognitive, Affective & Behavioral Neuroscience
|
February 17, 2021
Correction to: The stability flexibility tradeoff and the dark side of detail
Matthew R Nassar, Vanessa Troiani
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|
February 2, 2022
Adaptive Learning through Temporal Dynamics of State Representation
Niloufar Razmi, Matthew R Nassar
Trends in Cognitive Sciences
|
September 29, 2021
The computational challenge of social learning
Oriel FeldmanHall, Matthew R Nassar
Cognitive, Affective & Behavioral Neuroscience
|
November 25, 2020
The stability flexibility tradeoff and the dark side of detail
Matthew R Nassar, Vanessa Troiani
Current Opinion in Behavioral Sciences
|
August 31, 2016
Taming the beast: extracting generalizable knowledge from computational models of cognition
Matthew R Nassar, Michael J Frank
Plos Computational Biology
|
April 18, 2013
A healthy fear of the unknown: perspectives on the interpretation of parameter fits from computational models in neuroscience
Matthew R Nassar, Joshua I Gold
The Behavioral and Brain Sciences
|
March 29, 2017
What do we GANE with age?
Matthew R Nassar, Rasmus Bruckner, Ben Eppinger
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|
July 1, 2021
Noise Correlations for Faster and More Robust Learning
Matthew R Nassar, Daniel Scott, Apoorva Bhandari
Elife
|
July 3, 2023
Prefrontal cortex state representations shape human credit assignment
Amrita Lamba, Matthew R Nassar, Oriel FeldmanHall
Communications Psychology
|
February 13, 2025
Understanding learning through uncertainty and bias
Rasmus Bruckner, Hauke R Heekeren, Matthew R Nassar
Page
of 6