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Journal Articles Neural Networks Year : 2022

Multimodal neural networks better explain multivoxel patterns in the hippocampus

Abstract

The human hippocampus possesses “concept cells”, neurons that fire when presented with stimuli belonging to a specific concept, regardless of the modality. Recently, similar concept cells were discovered in a multimodal network called CLIP (Radford et al., 2021). Here, we ask whether CLIP can explain the fMRI activity of the human hippocampus better than a purely visual (or linguistic) model. We extend our analysis to a range of publicly available uni- and multi-modal models. We demonstrate that “multimodality” stands out as a key component when assessing the ability of a network to explain the multivoxel activity in the hippocampus.

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hal-03859816 , version 1 (18-11-2022)

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Bhavin Choksi, Milad Mozafari, Rufin VanRullen, Leila Reddy. Multimodal neural networks better explain multivoxel patterns in the hippocampus. Neural Networks, 2022, 154, pp.538-542. ⟨10.1016/j.neunet.2022.07.033⟩. ⟨hal-03859816⟩
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