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 | 814 | 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 | 747 | 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 | 520 | 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 | 256 | 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 | 173 | 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 | 134 | 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 | 113 | 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 | 111 | 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 | 102 | 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 | 94 | 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 | 93 | 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 | 86 | 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 | 77 | 2016 |
Statistical context dictates the relationship between feedback-related EEG signals and learning MR Nassar, R Bruckner, MJ Frank elife 8, e46975, 2019 | 69 | 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 | 68 | 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 | 62 | 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 | 50* | 2021 |
The computational challenge of social learning O FeldmanHall, MR Nassar Trends in Cognitive Sciences 25 (12), 1045-1057, 2021 | 49 | 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 | 42 | 2020 |
All or nothing belief updating in patients with schizophrenia reduces precision and flexibility of beliefs MR Nassar, JA Waltz, MA Albrecht, JM Gold, MJ Frank Brain 144 (3), 1013-1029, 2021 | 39 | 2021 |