Bojana Grujičić

Philosopher of neuroscience (Max Planck School of Cognition / Humboldt-Universität zu Berlin / UCL Science and Technology Studies at the time of publication) whose 2024 Synthese paper "Deep convolutional neural networks are not mechanistic explanations of object recognition" argues that representational similarity analysis cannot license treating a deep network as a mechanistic explanation of biological vision. She is the anchor author of the vault's RSA-underdetermination thread: a single peer-reviewed paper whose thesis — that different similarity measures pick out different mechanisms with no arbitration between them — grounds several claim-notes and the substrate-laundering observation.

References

• claim-representational-similarity-underdetermines-mechanism — her load-bearing thesis: RSA underdetermines shared mechanism
• claim-similarity-measures-pick-out-different-representational-vehicles — the mechanism, cashed out via correlation vs Euclidean distance
• claim-grujicic-frames-dcnn-critique-on-3m-not-marr-levels — her actual apparatus is Craver & Kaplan's 3M, not Marr's levels
• observation-substrate-laundering-across-marr-levels — the vault's cross-level reading her argument grounds
• question-verify-grujicic-2024-rsa-underdetermination-dcnn — the verification thread on her paper