2024_Hochbaum et al_2ABT
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下载链接:
https://doi.org/10.7910/DVN/U7CVED
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资源简介:
mouse behavior dataframes for 2ABT Q-learning model training and analyses in Figure 5/6 of Hochbaum et al, 2024 (Thyroid hormone remodels cortex to coordinate body-wide metabolism and exploration). each row is a trial from the 2ABT. Columns: Mouse = mouse ID; Date = date of session; Condition = probability of spouts to release water reward (8020 = 80% prob. for highly rewarding spout, 20% prob for lowly rewarding spout); tSelection = reaction time; T_Cue_Audio = period of the auditory cue; Reward = reward outcome of trial; T_Reward = period of signal to solenoid to distribute 2.5 ul water (calibrated day to day); T_ENL = length of enforced no-lick period; n_ENL = number of ENL encountered for that trial; n_Cue = number of cues delivered during that trial; DAB_I_flipLR_event = binary indicating if reward contingencies switch; Target = binary variable indicating highly rewarding spout; DAB_I_HighProbSel = indicates if mouse selected the target; iBlock = block number for session; blockTrial = trial within a block; blockLength = block length (stable reward probabilities); Decision = indicates which spout mouse selected; Switch = indicates if mouse switched spout selection (relative to previous selection); timeout = whether trial resulted in timeout (filtered out for Q-learning model training); expDay = day within experimental paradigm (0 = habituation); treatment = treatment mice received during experiment; binDate = organizing variable to group habituation ('before'), days 0-3, and days 4-7 of the experiment.; Session = unique id for each session.;
创建时间:
2024-06-27



