processed_data: aligned traces, demodulated photometry and restructured behavioral events
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 processed data for fiber photometry data of mice during learning and expert stages of the cloud of tones task. It is not required to run plotting for the paper (that only requires 'Processed striatal dopamine fiber photometry data, required to reproduce all photometry figures except EDfig5pqrstwvxy and EDfig12dfg' which is referred to as 'repro data' in the documentation linked below).
This data set includes: aligned_traces (photometry traces aligned to behavioral events per mouse per recording), smoothed_signal (demodulated and smoothed dlight recordings per mouse per session) and restructured_data (behavioral data in a format to easily align to photometry) files that are referred to in the documentation: https://github.com/SainsburyWellcomeCentre/SJLab_APE_paper/tree/main/APE_paper_photometry_code_francesca(file: Documentation for code.pdf)
Refer to 'Experiment record for photometry dataset to for all photometry figures except ED Fig 5O-Y and ED Fig 12' for the information about what experiments the dates on the recordings refer to.
