Subject-specific fMRI embeddings learned unsupervised from the Natural Scenes Dataset can be aligned across individuals via orthogonal rotations, supporting a shared neural geometry in visual cortex.
Intersubject synchronization of cortical activity during natural vision.Science, 303(5664):1634–1640
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UNVERDICTED 3representative citing papers
Rosetta Neurons in language models up to 30B and vision models up to 5B parameters scale sublinearly with size while becoming more selective and monosemantic.
RSA on 7T fMRI during natural scene viewing identifies ventromedial and lateral occipitotemporal representational routes for scene context versus animate content, with differential alignment to vision and language models.
citing papers explorer
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Platonic Representations in the Human Brain: Unsupervised Recovery of Universal Geometry
Subject-specific fMRI embeddings learned unsupervised from the Natural Scenes Dataset can be aligned across individuals via orthogonal rotations, supporting a shared neural geometry in visual cortex.
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Neuron Populations Exhibit Divergent Selectivity with Scale
Rosetta Neurons in language models up to 30B and vision models up to 5B parameters scale sublinearly with size while becoming more selective and monosemantic.
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Shared representations in brains and models reveal a two-route cortical organization during scene perception
RSA on 7T fMRI during natural scene viewing identifies ventromedial and lateral occipitotemporal representational routes for scene context versus animate content, with differential alignment to vision and language models.