Publications

Preprints

Bruckner R, Nassar M, Eppinger B. Differences in learning across the lifespan emerge via resource rational computations

Heffner J, Froemer R, Nassar M, FeldmanHall O. Dissociable neural signals for reward and emotion prediction errors.

Yu L, *Park SA, Sweigart SC, +Boorman ED, Nassar M. Do grid codes afford generalization and flexible decision-making?

Zho T, Ho Y, Lee R, Fath A, He K, Scott J, Bajwa N, Hartley N, Wilde J, Gao X, Li C, Hong E,  Nassar M, Wimmer R, Singh T, *Halassa M, *Feng G. Enhancement of mediodorsal thalamus rescues aberrant belief updating dynamics in a novel mouse model for schizophrenia.

Xia A, Teoh YY, Nassar M, Bhandari A, FeldmanHall O. Knowledge of information cascades through social networks facilitates strategic gossip.

Kirschner H, Molla H, Nassar M, de Wit H, Ullsperger M. Methamphetamine-induced adaptation of learning rate dynamics depend on baseline performance.

Bruckner R, Heekeren H, Nassar M. Understanding learning through uncertainty and bias

Published Articles

Frömer R, Ehinger B, Nassar M, Shenhav A. Common neural choice signals emerge artifactually amidst multiple distinct value signals (in press) Nature Human Behaviour.

Scott D, Muhkerjee A, Nassar M, Halassa M. Thalamocortical architectures for flexible cognition and efficient learning (2024). Trends in Cognitive Science.

Nassar M. Towards a computational role for LC/NE arousal systems (2024). Current Opinions in Behavioral Science.

Kirschner H, Nassar M, Fischer A, Meyer-Lotz G, Frobose S, Seidenbecher S, Klein T, Ullsperger M. Inflexible learning dynamics as a transdiagnostic mechanism of reward-learning deficits in depression and schizophrenia (2024). Brain.

Lamba A, Nassar M, FeldmanHall O. Prefrontal cortex state representations shape human credit assignment (2023) eLife.

Fromm SP, Wieland L, Klettke A, Nassar MR, Katthagen T, Markett S, Heinz A, Schlagenhauf F. Computational mechanisms of belief updating in relation to psychotic-like experiences (2023) Frontiers in Psychiatry.

Rmus M, He M, Baribault B, Walsh EG, Festa EK, Collins AG, Nassar MR. Age-related decline in prefrontal glutamate predicts failure to efficiently deploy working memory in the service of learning (2023) eLife.

Razmi N, Nassar MR. Adaptive learning through temporal dynamics of state representation (2022) Journal of Neuroscience.

van Baar JM, Nassar M, Deng W, FeldmanHall O. Latent motives guide structure learning during adaptive social choice (2022)  Nature Human Behaviour.

FeldmanHall O, Nassar M. The computational challenges of social learning (2021) Trends in Cognitive Sciences.

Kobayashi K, Lee S, Filipowicz ALS, McGaughey KD, Kable JW, Nassar MR. Dynamic Representation of the Subjective Value of Information (2021) Journal of Neuroscience.

Chen Z, Pan F, Becker B, Xu T, Nassar MR, Sirois F, Hommel B, Zhang C, He Q, Qui J, He L, Lei X, Chen H, Feng T. Neural connectome prospectively encodes the risk of post-traumatic stress disorder (PTSD) symptoms during the covid-19 pandemic (2021) Neurobiology of Stress.

Nassar MR, Scott D, Bhandari A. Noise correlations for faster and more robust learning (2021) Journal of Neuroscience.

Yu L, Wilson R, Nassar MR. Adaptive learning is structure learning in time (2021) Neuroscience & Biobehavioral Reviews.

Frömer R, Nassar MR, Stürmer B, Sommer W , & Yeung, N. Response–based Outcome Predictions and Confidence Regulate Feedback Processing and Learning (2021) eLife  .

Nassar MR, Waltz JA, Albrecht MA, Gold JM, Frank MJ. All or nothing belief updating in patients with schizophrenia reduces precision and flexibility of beliefs (2021) Brain.

Nassar MR, Troiani V. The stability flexibility tradeoff and the dark side of detail (2021) Cognitive, Affective, & Behavioral Neuroscience.

Kao CH, Khambhati AN, Bassett DS, Nassar MR, McGuire JT, Gold JI, Kable JW. Functional brain network reconfiguration during learning in a dynamic environment (2020) Nature Communications.

He M, Heindel WC, Nassar MR, Seifert E, Festa EK. Age-related changes in the functional integrity of the phasic alerting system: A pupillometric investigation (2020) Neurobiology of Aging.

Nassar M, Bruckner R, Frank MJ. Statistical context dictates the relationship between feedback-related EEG signals and learning (2019) eLife.

Li Y, Nassar M, Kable J, Gold J. Individual neurons in the cingulate cortex encode action monitoring, not selection, during adaptive decision-making (2019) Journal of Neuroscience.

*Jang A, *Nassar M, Dillon D, Frank M. Positive reward prediction errors during decision making strengthen memory encoding. (2019) Nature Human Behaviour.

Nassar M, McGuire J, Ritz H, Kable J. Dissociable Forms of Uncertainty-Driven Representational Change Across the Human Brain (2019) Journal of Neuroscience.

Before 2019:

Ritz H, Nassar M, Frank M, Shenhav A. A Control Theoretic Model of Adaptive Learning in Dynamic Environments (2018) Journal of Cognitive Neuroscience.

Nassar M, Helmers J, Frank M. Chunking as a rational strategy for lossy data compression in visual working memory. (2018) Psychological Review.

van den Bos W, Bruckner R, Lorenz R, Nassar M, Mata R, & Eppinger B. (2017) Computational models for Lifespan Cognitive Neuroscience: the missing link. Developmental Cognitive Neuroscience.

*Krishnamurthy K, *Nassar M, Sarode S, Gold J. (2017) Adaptive, arousal-related adjustments of perceptual biases optimize perception in a dynamic environment. Nature Human Behaviour

Jepma M, Murphy P, Nassar M, Brown S, van den Maagdenberg A, Koelewijn S, de Vries B, Rangel-Gomez M, Meter M, Nieuwenhuis S. (2016) Noradrenergic regulation of learning rate in a dynamic environment. PLOS Computational Biology.

Nassar M., Bruckner R., Eppinger B. (2016). What do we GANE with age: Implications of the GANE model for effective learning and decision-making across healthy aging. Behavioral Brain Sciences. [commentary on by Mather et al.]

Nassar M, Bruckner R, Gold J, Li SC, Hauke H, Eppinger B. (2016) Age differences in learning emerge from an insufficient representation of uncertainty in older adults. Nature Communications 10(7):11609

Nassar M, Frank M. (2016) Taming the beast: Extracting generalizable knowledge from computational models of cognition. Current Opinion in Behavioral Sciences 11, 49-54.

Liu D, Zhang Y, Gharavi R, Park H, Lee J, Siddiqui S, Tellejohan R, Nassar M, Cutler R, Jiang H, Becker K, Mattson M. (2015). The Mitochondrial Uncoupler DNP Triggers Brain Cell mTOR Signaling Network Reprogramming and CREB Pathway Upregulation. Journal of Neurochemistry. 134(4),677-92.

*McGuire J, *Nassar M, Gold J, Kable J. (2014) Functionally dissociable influences on learning rate in a dynamic environment. Neuron 84, 870-881

Wilson R, Nassar M, Gold J. (2013) A mixture of Delta-rules approximation to Bayesian inference in change-point problems. PLOS Computational Biology 9(7): e1003150.

Nassar M, Gold J. (2013) A healthy fear of the unknown: perspectives on the interpretation of parameter fits from computational models in neuroscience. PLOS Computational Biology 9(4): e1003015.

Nassar M, Rumsey K, Wilson R, Parikh K, Heasly B, Gold J. (2012) Rational regulation of learning dynamics by pupil-linked arousal systems. Nature Neuroscience 12:1040–1046.

Nassar M, Wilson R, Heasly B, Gold J. (2010) An approximately Bayesian delta-rule model explains the dynamics of belief updating in a changing environment. Journal of Neuroscience. 30(37): 12366-12378.

(* = equal contribution and listed alphabetically).