Abstract:
:Deciding between stimuli requires combining their learned value with one's sensory confidence. We trained mice in a visual task that probes this combination. Mouse choices reflected not only present confidence and past rewards but also past confidence. Their behavior conformed to a model that combines signal detection with reinforcement learning. In the model, the predicted value of the chosen option is the product of sensory confidence and learned value. We found precise correlates of this variable in the pre-outcome activity of midbrain dopamine neurons and of medial prefrontal cortical neurons. However, only the latter played a causal role: inactivating medial prefrontal cortex before outcome strengthened learning from the outcome. Dopamine neurons played a causal role only after outcome, when they encoded reward prediction errors graded by confidence, influencing subsequent choices. These results reveal neural signals that combine reward value with sensory confidence and guide subsequent learning.
journal_name
Neuronjournal_title
Neuronauthors
Lak A,Okun M,Moss MM,Gurnani H,Farrell K,Wells MJ,Reddy CB,Kepecs A,Harris KD,Carandini Mdoi
10.1016/j.neuron.2019.11.018subject
Has Abstractpub_date
2020-02-19 00:00:00pages
700-711.e6issue
4eissn
0896-6273issn
1097-4199pii
S0896-6273(19)30982-1journal_volume
105pub_type
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