Matt R. Nassar
Affiliations: | 2014- | Cognitive, Linguistic and Psychological Sciences | Brown University, Providence, RI |
Area:
learning, decision making, perceptual inferenceGoogle:
"Matt Nassar"Mean distance: 14.66 (cluster 17) | S | N | B | C | P |
Parents
Sign in to add mentor| Joshua Gold | grad student | 2007-2012 | Penn | |
| (A computational role for arousal in optimal inference.) | ||||
| Michael J. Frank | post-doc | Brown | ||
| Joe Kable | post-doc | 2012-2013 | Penn | |
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Publications
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| Nassar MR, Bruckner R, Gold JI, et al. (2016) Age differences in learning emerge from an insufficient representation of uncertainty in older adults. Nature Communications. 7: 11609 |
| McGuire JT, Nassar MR, Gold JI, et al. (2014) Functionally dissociable influences on learning rate in a dynamic environment. Neuron. 84: 870-81 |
| Wilson RC, Nassar MR, Gold JI. (2013) A mixture of delta-rules approximation to bayesian inference in change-point problems. Plos Computational Biology. 9: e1003150 |
| Nassar MR, Gold JI. (2013) A healthy fear of the unknown: perspectives on the interpretation of parameter fits from computational models in neuroscience. Plos Computational Biology. 9: e1003015 |
| Nassar MR, Rumsey KM, Wilson RC, et al. (2012) Rational regulation of learning dynamics by pupil-linked arousal systems. Nature Neuroscience. 15: 1040-6 |
| Nassar MR, Wilson RC, Heasly B, et al. (2010) An approximately Bayesian delta-rule model explains the dynamics of belief updating in a changing environment. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 30: 12366-78 |
| Wilson RC, Nassar MR, Gold JI. (2010) Bayesian online learning of the hazard rate in change-point problems. Neural Computation. 22: 2452-76 |