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======================================== This repository contains the data used in the following paper: Belkaid et al. "Mice adaptively generate choice variability in a deterministic task", (2019) preprint: doi.org/10.1101/527580 Reference will be updated upon acceptance ======================================== Directories and file structure ------------------------------ ./compact_behavioral_data/ > data used for Fig1, Supp Fig1, Fig4 and Supp Fig3 > columns: label success_rate uturn_rate complexity_non_normalized complexity_normalized ./model_simulation_data/ > data used for Fig2 and Supp Fig2 > columns (continuous): fitness_score <useless> mem tau kappa alpha > columns (session-by-session): fitness_score <useless> mem tau kappa <useless> <useless> <useless> success_rate complexity_normalized > note: fitness scores were computed from success rate and complexity compared to each session ./seq_data/ > data used for Fig3A, Fig3B and Fig4D > columns: choice left-or-right reward time ./seq-stim_data/ > data used for Fig3C > columns: choice left-or-right reward time
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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