Using surprisal and fMRI to map the neural bases of broad and local contextual prediction during natural language comprehension.
Shohini BhattasaliPhilip ResnikPublished in: ACL/IJCNLP (Findings) (2021)
Keyphrases
- natural language
- prediction accuracy
- neural network
- contextual information
- liquid state machine
- data analysis
- prediction error
- prediction model
- network architecture
- natural language interface
- machine learning
- context sensitive
- functional connectivity
- natural language processing
- knowledge representation
- bio inspired
- question answering
- neural model
- spike trains
- event related
- healthy subjects
- brain activity
- functional magnetic resonance imaging
- cognitive processes
- maximum a posteriori