| 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 | 806 | 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 | 721 | 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 | 509 | 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 | 246 | 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 | 172 | 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 | 131 | 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 | 109 | 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 | 108 | 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 | 90 | 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 | 88 | 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 | 85 | 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 | 72 | 2016 |
| Statistical context dictates the relationship between feedback-related EEG signals and learning MR Nassar, R Bruckner, MJ Frank elife 8, e46975, 2019 | 66 | 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 | 63 | 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 | 58 | 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 | 47* | 2021 |
| The computational challenge of social learning O FeldmanHall, MR Nassar Trends in Cognitive Sciences 25 (12), 1045-1057, 2021 | 43 | 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 | 39 | 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 | 36 | 2018 |
Robert WilsonUniversity of ArizonaAdresse e-mail validée de email.arizona.edu
