Hello!
I'm a postdoc at Harvard.

I work with Sam Gershman in the Computational Cognitive Neuroscience Lab. I graduated from École Polytechnique (Paris) and completed my PhD at École Normale Supérieure (Paris) with Rava da Silveira. After that I was a postdoc with Mike Woodford (2026 Nobel prize in Economics) in the Cognition and Decision Lab at Columbia University.

I'm interested in the cognitive and neural mechanisms underlying perception, representation, inference and decision-making. My goal is to develop a theoretical framework that is biologically plausible, grounded in sound computational principles, and backed by experiments; and that makes behavior understandable and predictable. My research is thus a combination of theory, experiments, and computational modeling, and it sits at the intersection of multiple scientific disciplines, from neuroscience to economics.

Here's a recent CV.

Publications & Manuscripts

2026 Prat-Carrabin, A., Gershman, S. Toward a precise theory of imprecise representations. Perspective paper. Suppl. Inf.
2026 Prat-Carrabin, A., Yamamoto, R., Gershman, S. Efficient coding makes and breaks Weber's law. bioRxiv. Suppl. Inf.
2026 Prat-Carrabin, A.*, de Hollander, G.*, Bedi, S., Gershman, S., Ruff, C. Distributed range adaptation in human parietal encoding of numbers. Nature Communications (in press). Suppl. Inf.
For this project my co-author Gilles made a very cool cortical surface viewer of model fits: here.
2026 Prat-Carrabin, A., Harl, M., Gershman, S. Fast efficient coding and sensory adaptation in gain-adaptive recurrent networks. Nature Communications. Suppl. Inf.
2026 Prat-Carrabin, A., Woodford, M. Endogenous Precision of the Number Sense. eLife.
2025 Prat-Carrabin, A., Gershman, S. Bayesian estimation yields anti-Weber variability. PNAS Nexus.
2024 Prat-Carrabin, A., Woodford, M. Imprecise counting of observations in averaging tasks predicts primacy and recency effects. bioRxiv.
2024 Prat-Carrabin, A., Woodford, M. Imprecise Probabilistic Inference from Sequential Data. Psychological Review.
2024 Prat-Carrabin, A., Meyniel, F., Azeredo da Silveira, R. Resource-rational account of sequential effects in human prediction. eLife.
2022 Prat-Carrabin, A., Woodford, M. Efficient coding of numbers explains decisions bias and noise. Nature Human Behaviour.
🏆 This paper received the Society for NeuroEconomics Paper of the Year Award.
2021 Prat-Carrabin, A., Woodford, M. Bias and variance of the Bayesian-mean decoder. In M. Ranzato et al., eds., Advances in Neural Information Processing Systems 34 (NeurIPS 2021).
⭐️ This paper is a NeurIPS 'spotlight'.
2021 Prat-Carrabin, A., Wilson, R., Cohen, J.D., Azeredo da Silveira, R. Human Inference in Changing Environments with Temporal Structure. Psychological Review.
2021 Prat-Carrabin, A., Meyniel, F., Tsodyks, M., Azeredo da Silveira, R. Biases and Variability from Costly Bayesian Inference. Entropy.
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