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Deep multi-view representation learning of brain responses to natural stimuli
Published on Aug 23, 20162890 Views
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Chapter list
Deep multi-view representation learning of brain responses to natural stimuli00:00
How does the human brain represent information?00:13
An fMRI experiment - 100:26
An fMRI experiment - 200:53
Naturalistic experiments01:52
Video by James Gao and Anwar Nunez-Elizalde - 1 02:13
Video by James Gao and Anwar Nunez-Elizalde - 202:43
Naturalistic Experiments03:40
Build feature spaces! - 104:12
Build feature spaces! - 204:49
Build feature spaces! - 305:12
Build feature spaces! - 405:25
Build feature spaces! - 505:52
Build feature spaces! - 605:57
Small data I complex brains06:41
Useful Neuroimaging Tasks07:04
Cognitive Space Multi-view Autoencoder - 108:10
Cognitive Space Multi-view Autoencoder - 208:14
Estimation - 109:31
Estimation - 209:42
Estimation - 309:48
Estimation - 409:52
Estimation - 509:57
Estimation - 610:02
Bottleneck Layer - 110:05
Bottleneck Layer - 210:30
Bottleneck Layer - 310:35
Bottleneck Layer - 410:36
Bottleneck Layer - 510:39
Untitled10:45
Bottleneck Layer - 610:45
Bottleneck Layer - 710:49
Multimodal representations11:19
Results: predicting brain activity - 112:58
Results: predicting brain activity - 213:35
Results: predicting brain activity - 313:54
Results: predicting brain activity - 414:21
Results: predicting brain activity - 514:32
Results: predicting brain activity - 615:26
A unified model15:37
Exploring the learned space - 116:30
Exploring the learned space - 216:34
Exploring the learned space - 317:02
Future work17:33
Thank you18:44