Feature-reweighted RSA: A general purpose method for increasing the fit between 
vision models and brain data

Kaniuth, Philipp; Hebart, Martin N.

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Feature-reweighted RSA: A general purpose method for increasing the fit between vision models and brain data

Kaniuth, P., & Hebart, M. N. (2021). Feature-reweighted RSA: A general purpose method for increasing the fit between vision models and brain data. Talk presented at 10th IMPRS NeuroCom Summer School. Virtual. 2021-07-05 - 2021-07-08.

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Datensatz-Permalink: https://hdl.handle.net/21.11116/0000-000B-A7CB-4 Versions-Permalink: https://hdl.handle.net/21.11116/0000-000B-A7CC-3

Genre: Vortrag

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Urheber:
Kaniuth, Philipp¹, Autor
Hebart, Martin N.¹, Autor

Affiliations:
1Max Planck Research Group Vision and Computational Cognition, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_3158378