Matthew Nassar
Matthew Nassar
Assistant Professor at Brown University
Verified email at brown.edu - Homepage
TitleCited byYear
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
4902007
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, 2012
3852012
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
2652010
Functionally dissociable influences on learning rate in a dynamic environment
JT McGuire, MR Nassar, JI Gold, JW Kable
Neuron 84 (4), 870-881, 2014
1072014
Bayesian online learning of the hazard rate in change-point problems
RC Wilson, MR Nassar, JI Gold
Neural computation 22 (9), 2452-2476, 2010
1012010
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
732007
A mixture of delta-rules approximation to bayesian inference in change-point problems
RC Wilson, MR Nassar, JI Gold
PLoS computational biology 9 (7), 2013
642013
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), 1-13, 2016
612016
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), 2016
322016
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
322015
Arousal-related adjustments of perceptual biases optimize perception in dynamic environments
K Krishnamurthy, MR Nassar, S Sarode, JI Gold
Nature human behaviour 1 (6), 1-11, 2017
312017
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
282018
Taming the beast: extracting generalizable knowledge from computational models of cognition
MR Nassar, MJ Frank
Current opinion in behavioral sciences 11, 49-54, 2016
212016
A healthy fear of the unknown: perspectives on the interpretation of parameter fits from computational models in neuroscience
MR Nassar, JI Gold
PLoS computational biology 9 (4), 2013
202013
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
112018
A control theoretic model of adaptive learning in dynamic environments
H Ritz, MR Nassar, MJ Frank, A Shenhav
Journal of cognitive neuroscience 30 (10), 1405-1421, 2018
82018
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
62019
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
62019
Correction: A mixture of delta-rules approximation to Bayesian inference in change-point problems
RC Wilson, MR Nassar, G Tavoni, JI Gold
PLoS computational biology 14 (6), 2018
42018
I knew that! Confidence in outcome prediction and its impact on feedback processing and learning
R Froemer, MR Nassar, B Stuermer, W Sommer, N Yeung
BioRxiv, 442822, 2018
32018
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Articles 1–20