Timezone: »
Multimodal neural networks better explain multivoxel patterns in the hippocampus
Bhavin Choksi · Milad Mozafari · Rufin VanRullen · Leila Reddy
Mon Dec 13 10:10 AM -- 10:20 AM (PST) @
Event URL: https://openreview.net/forum?id=6dymbuga7nL »
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 [1].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.
Author Information
Bhavin Choksi (CNRS)
Milad Mozafari (CNRS)
Rufin VanRullen (CNRS - CerCo (Toulouse))
Leila Reddy
More from the Same Authors
-
2022 Poster: Meta-Reinforcement Learning with Self-Modifying Networks »
Mathieu Chalvidal · Thomas Serre · Rufin VanRullen -
2021 : Multimodal neural networks better explain multivoxel patterns in the hippocampus »
Bhavin Choksi · Milad Mozafari · Rufin VanRullen · Leila Reddy -
2021 Poster: Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics »
Bhavin Choksi · Milad Mozafari · Callum Biggs O'May · B. ADOR · Andrea Alamia · Rufin VanRullen