Luigi Acerbi, PhD

Affiliations: 
2010-2014 Doctoral Training Center for Neuroinformatics and Computational Neuroscience University of Edinburgh, Edinburgh, Scotland, United Kingdom 
 2014- Center for Neural Science New York University, New York, NY, United States 
Area:
Computational neuroscience
Website:
http://luigiacerbi.com
Google:
"Luigi Acerbi"
Mean distance: 14.85 (cluster 29)
 
SNBCP

Parents

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Sethu Vijayakumar grad student 2010-2014 Edinburgh
Daniel M. Wolpert grad student 2010-2014 Cambridge
Wei Ji Ma post-doc 2014-2017 NYU
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Publications

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Yoo AH, Acerbi L, Ma WJ. (2021) Uncertainty is maintained and used in working memory. Journal of Vision. 21: 13
van Opheusden B, Acerbi L, Ma WJ. (2020) Unbiased and efficient log-likelihood estimation with inverse binomial sampling. Plos Computational Biology. 16: e1008483
Zhou Y, Acerbi L, Ma WJ. (2020) The role of sensory uncertainty in simple contour integration. Plos Computational Biology. 16: e1006308
Norton EH, Acerbi L, Ma WJ, et al. (2019) Human online adaptation to changes in prior probability. Plos Computational Biology. 15: e1006681
Acerbi L, Dokka K, Angelaki DE, et al. (2018) Bayesian comparison of explicit and implicit causal inference strategies in multisensory heading perception. Plos Computational Biology. 14: e1006110
Acerbi L, Vijayakumar S, Wolpert DM. (2017) Target Uncertainty Mediates Sensorimotor Error Correction. Plos One. 12: e0170466
Yoo A, Acerbi L, Ma WJ. (2017) The Role of Memory Uncertainty in Change Localization Journal of Vision. 17: 103
Yoo A, Acerbi L, Orhan E, et al. (2016) The role of memory uncertainty in change detection Journal of Vision. 16: 1432
Acerbi L, Vijayakumar S, Wolpert DM. (2014) On the origins of suboptimality in human probabilistic inference. Plos Computational Biology. 10: e1003661
Acerbi L, Ma WJ, Vijayakumar S. (2014) A framework for testing identifiability of Bayesian models of perception Advances in Neural Information Processing Systems. 2: 1026-1034
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