- Abstract:
-
When combining information across different senses humans need to flexibly select cues of a common origin whilst avoiding distraction from irrelevant inputs. The brain could solve this challenge using a hierarchical principle, by deriving rapidly a fused sensory estimate for computational expediency and, later and if required, filtering out irrelevant signals based on the inferred sensory cause(s). Analysing time- and source- resolved human magnetoencephalographic data we unveil a systematic ...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Publisher:
- Elsevier Publisher's website
- Journal:
- Neuron Journal website
- Volume:
- 102
- Issue:
- 5
- Pages:
- 1076-1087.e8
- Publication date:
- 2019-04-29
- Acceptance date:
- 2019-03-27
- DOI:
- EISSN:
-
1097-4199
- ISSN:
-
0896-6273
- Pubs id:
-
pubs:986744
- UUID:
-
uuid:5cbd3fad-6069-4ab5-bee5-930f072f03a9
- Source identifiers:
-
986744
- Local pid:
- pubs:986744
- Copyright holder:
- Elsevier Inc.
- Rights statement:
- © 2019 Elsevier Inc.
- Notes:
-
This is the accepted manuscript version of the article. The final version is available from Elsevier at https://doi.org/10.1016/j.neuron.2019.03.043
Journal article
Causal inference in the multisensory brain
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