Reply to: “Model mimicry limits conclusions about neural tuning and can mistakenly imply unlikely priors”

Reuben Rideaux; Paul M. Bays; William J. Harrison

doi:10.1038/s41467-025-60860-9

Back

Reply to: “Model mimicry limits conclusions about neural tuning and can mistakenly imply unlikely priors”

Journal article

Open access

Peer reviewed

Reply to: “Model mimicry limits conclusions about neural tuning and can mistakenly imply unlikely priors”

Reuben Rideaux, Paul M. Bays and William J. Harrison

Nature Communications, Vol.16(1), pp.1-7

2025

DOI: https://doi.org/10.1038/s41467-025-60860-9

PMID: 40623984

Files and links (1)

pdf

s41467-025-60860-91.10 MBDownload View

Published VersionCC BY-NC-ND V4.0, Open Access

Abstract

REPLYING TO Michael J. Wolff et al. Nature Communications (2025) [DOI:10.1038/s41467-025-60859-2].

Details

Title: Reply to: “Model mimicry limits conclusions about neural tuning and can mistakenly imply unlikely priors”
Authors: Reuben Rideaux (Corresponding Author) - The University of Sydney
Paul M. Bays - University of Cambridge
William J. Harrison - University of the Sunshine Coast, Queensland, School of Health - Psychology
Publication details: Nature Communications, Vol.16(1), pp.1-7
Publisher: Nature Publishing Group
Date published: 2025
DOI: 10.1038/s41467-025-60860-9
ISSN: 2041-1723
PMID: 40623984
Copyright note: This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
Data Availability: The EEG and MEG data re-analysed in this paper can be accessed at https://osf.io/5ba9y/ and https://doi.org/10.5061/dryad.m57sd, respectively. Source data are provided with this paper.
Grants: Understanding how the brain combines sensory information, DE210100790, Australian Research Council (Australia, Canberra) - ARC
Using artificial intelligence to understand impaired sensory processing in autism , 2026318, National Health and Medical Research Council (Australia, Canberra) - NHMRC
Organisation Unit: Healthy Ageing Research Cluster; School of Health - Psychology
Language: English
Record Identifier: 991144128102621
Output Type: Journal article

Metrics

37 Record Views

2 Times Cited - Web of Science

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types: Domestic collaboration; International collaboration
Web Of Science research areas: Neurosciences