Author

Nicola Valè

University of VeronaORCID 0000-0002-2364-5990Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Organism:human· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Daniel M. WolpertiD· 1 shared Ivan TomićiD· 1 shared Konstantina KilteniiD· 1 shared Paul M. BaysiD· 1 shared Zahara Girones· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperNeuroscience

Daniel M. WolpertORCID

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1 paper

Recent·Most cited

NeurosciencebioRxivPreprintJun 20, 2024

Divisive attenuation based on noisy sensorimotor predictions accounts for excess variability in self-touch

Nicola Valè, Ivan Tomić, Zahara Girones…·Paul M. Bays

The paper develops a computational model explaining why self-generated forces are perceived as weaker, showing that attenuated sensations have greater variability due to added motor prediction noise.

4 citations

humanstatistical model

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