freely_moving_photometry_data: raw photometry data
Dopaminergic action prediction errors serve as a value-free teaching signal
Animals’ choice behavior is characterized by two main tendencies: taking actions that led to rewards and repeating past actions. Theory suggests these strategies may be reinforced by different types of dopaminergic teaching signals: reward prediction error to reinforce value-based associations and movement-based action prediction errors to reinforce value-free repetitive associations. Here we use an auditory-discrimination task in mice to show that movement-related dopamine activity in the tail of the striatum encodes the hypothesized action prediction error signal. Causal manipulations reveal that this prediction error serves as a value-free teaching signal that supports learning by reinforcing repeated associations. Computational modelling and experiments demonstrate that action prediction errors alone cannot support reward-guided learning but when paired with the reward prediction error circuitry they serve to consolidate stable sound-action associations in a value-free manner. Together we show that there are two types of dopaminergic prediction errors that work in tandem to support learning, each reinforcing different types of association in different striatal areas.
This is the dataset with the raw fiber photometry - not demodulated or smoothed. If you want the demodualted data this is in the processed_data upload 'processed_data including aligned traces, demodulated photometry and restructured behavioral events'. Look for files with structure mousename_date_smoothed_signal.npy in the processed data folder.
To demodulate the raw data and align with behavioral events (raw bpod data) see code (https://github.com/SainsburyWellcomeCentre/SJLab_APE_paper/tree/main/APE_paper_photometry_code_francesca) SJLab_APE_paper/APE_paper_photometry_code_francesca/data_preprocessing/pre_processing.py. This script requires the raw bpod files (raw behavioral data) found in upload in this figshare project called 'bpod_data raw behavioral files for all sessions, not just for photometry'.
