Abstract
Behavioural neuroscience and reinforcement learning theory distinguish between ‘model-free’ and ‘model-based’ computations that can guide behaviour. A recent study demonstrates that Pavlovian learning can give rise to behavioural responses that are not well accounted for by this existing dichotomy, suggesting that there may be greater complexity to the computations that underlie Pavlovian prediction.
Original language | English (US) |
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Pages (from-to) | 212-213 |
Number of pages | 2 |
Journal | Nature human behaviour |
Volume | 3 |
Issue number | 3 |
DOIs | |
State | Published - Mar 1 2019 |
ASJC Scopus subject areas
- Social Psychology
- Experimental and Cognitive Psychology
- Behavioral Neuroscience