Clarifying status of DNNs as models of human vision

Bowers, Jeffrey S.; Malhotra, Gaurav; Dujmović, Marin; Montero, Milton L.; Tsvetkov, Christian; Biscione, Valerio; Puebla, Guillermo; Adolfi, Federico; Hummel, John E.; Heaton, Rachel F.; Evans, Benjamin D.; Mitchell, Jeffrey; Blything, Ryan

doi:10.1017/S0140525X23002777

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

Clarifying status of DNNs as models of human vision

MPS-Authors

Adolfi, Federico
Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Max Planck Society;
Poeppel Lab, Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Max Planck Society;

External Resource

https://www.cambridge.org/core/journals/behavioral-and-brain-sciences/article/abs/clarifying-status-of-dnns-as-models-of-human-vision/5661027EAE44775D3505B6EB48A8FC95
(Publisher version)

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Bowers, J. S., Malhotra, G., Dujmović, M., Montero, M. L., Tsvetkov, C., Biscione, V., et al. (2023). Clarifying status of DNNs as models of human vision. Behavioral and Brain Sciences, 46: e415. doi:10.1017/S0140525X23002777.

Cite as: https://hdl.handle.net/21.11116/0000-000E-08C1-F

Abstract

On several key issues we agree with the commentators. Perhaps most importantly, everyone seems to agree that psychology has an important role to play in building better models of human vision, and (most) everyone agrees (including us) that deep neural networks (DNNs) will play an important role in modelling human vision going forward. But there are also disagreements about what models are for, how DNN–human correspondences should be evaluated, the value of alternative modelling approaches, and impact of marketing hype in the literature. In our view, these latter issues are contributing to many unjustified claims regarding DNN–human correspondences in vision and other domains of cognition. We explore all these issues in this response.