Matthew Nassar
Matthew Nassar
Assistant Professor at Brown University
Verified email at - Homepage
Cited by
Cited by
Alternate day calorie restriction improves clinical findings and reduces markers of oxidative stress and inflammation in overweight adults with moderate asthma
JB Johnson, W Summer, RG Cutler, B Martin, DH Hyun, VD Dixit, ...
Free Radical Biology and Medicine 42 (5), 665-674, 2007
Rational regulation of learning dynamics by pupil-linked arousal systems
MR Nassar, KM Rumsey, RC Wilson, K Parikh, B Heasly, JI Gold
Nature neuroscience 15 (7), 1040-1046, 2012
An approximately Bayesian delta-rule model explains the dynamics of belief updating in a changing environment
MR Nassar, RC Wilson, B Heasly, JI Gold
Journal of Neuroscience 30 (37), 12366-12378, 2010
Functionally dissociable influences on learning rate in a dynamic environment
JT McGuire, MR Nassar, JI Gold, JW Kable
Neuron 84 (4), 870-881, 2014
Bayesian online learning of the hazard rate in change-point problems
RC Wilson, MR Nassar, JI Gold
Neural computation 22 (9), 2452-2476, 2010
Age differences in learning emerge from an insufficient representation of uncertainty in older adults
MR Nassar, R Bruckner, JI Gold, SC Li, HR Heekeren, B Eppinger
Nature communications 7 (1), 11609, 2016
Positive reward prediction errors during decision-making strengthen memory encoding
AI Jang, MR Nassar, DG Dillon, MJ Frank
Nature human behaviour 3 (7), 719-732, 2019
A mixture of delta-rules approximation to bayesian inference in change-point problems
RC Wilson, MR Nassar, JI Gold
PLoS computational biology 9 (7), e1003150, 2013
Chunking as a rational strategy for lossy data compression in visual working memory.
MR Nassar, JC Helmers, MJ Frank
Psychological review 125 (4), 486, 2018
Catecholaminergic regulation of learning rate in a dynamic environment
M Jepma, PR Murphy, MR Nassar, M Rangel-Gomez, M Meeter, ...
PLoS computational biology 12 (10), e1005171, 2016
Arousal-related adjustments of perceptual biases optimize perception in dynamic environments
K Krishnamurthy, MR Nassar, S Sarode, JI Gold
Nature human behaviour 1 (6), 0107, 2017
Neuroprotective actions of a histidine analogue in models of ischemic stroke
SC Tang, TV Arumugam, RG Cutler, DG Jo, T Magnus, SL Chan, ...
Journal of neurochemistry 101 (3), 729-736, 2007
Taming the beast: extracting generalizable knowledge from computational models of cognition
MR Nassar, MJ Frank
Current opinion in behavioral sciences 11, 49-54, 2016
Statistical context dictates the relationship between feedback-related EEG signals and learning
MR Nassar, R Bruckner, MJ Frank
elife 8, e46975, 2019
The mitochondrial uncoupler DNP triggers brain cell mTOR signaling network reprogramming and CREB pathway up‐regulation
D Liu, Y Zhang, R Gharavi, HR Park, J Lee, S Siddiqui, R Telljohann, ...
Journal of neurochemistry 134 (4), 677-692, 2015
Dissociable forms of uncertainty-driven representational change across the human brain
MR Nassar, JT McGuire, H Ritz, JW Kable
Journal of Neuroscience 39 (9), 1688-1698, 2019
Response-based outcome predictions and confidence regulate feedback processing and learning
R Frömer, MR Nassar, R Bruckner, B Stürmer, W Sommer, N Yeung
elife 10, e62825, 2021
The computational challenge of social learning
O FeldmanHall, MR Nassar
Trends in Cognitive Sciences 25 (12), 1045-1057, 2021
Functional brain network reconfiguration during learning in a dynamic environment
CH Kao, AN Khambhati, DS Bassett, MR Nassar, JT McGuire, JI Gold, ...
Nature communications 11 (1), 1682, 2020
Computational neuroscience across the lifespan: Promises and pitfalls
W van den Bos, R Bruckner, MR Nassar, R Mata, B Eppinger
Developmental cognitive neuroscience 33, 42-53, 2018
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