Statistical prediction of the future impairs episodic encoding of the present
Sherman, Brynn; Turk-Browne, Nicholas (2020), Statistical prediction of the future impairs episodic encoding of the present, Dryad, Dataset, https://doi.org/10.5061/dryad.280gb5mmf
The following submission contains the behavioral data reported from the manuscript "Statistical prediction of the future impairs episodic encoding of the present". Data from four experiments are included. All experiments contained a learning phase, in which participants viewed a series of trial-unique scenes drawn from one of 12 scene categories and were asked to report whether or not the on-screen scene contained a manmade object. Accuracy and response time were measured during this task. Each scene category belonged to one of three conditions: A scenes, which were predictive of B scenes (which were thus predictable), and X scenes which could be preceded or followed by any number of scene categories and thus were neither predictive nor predictable. All experiments also contained a memory phase, in which participants were shown a scene image and were asked to indicate whether or not that particular scene image was presented in the learning phase. All scenes from the learning phase, in addition to a subset of images that were not presented during the learning phase (foils) were presented during the memory phase. After indicating whether an image was old or new, participants then indicated their confidence in their response (Experiments 1a, 1b & 3) or when in time they remember seeing the image (Experiment 2; old responses only). Experiments 1a & 2 additionally contained a category pair test. On each trial, participants were presented with two pairs of images and were asked to indicate which pair felt more familiar to them. Trials consisted either of a true A/B pair and a scrambled A/B pair (for which a trial would be accurate if participants chose the true A/B pair), or two dummy-coded X/X pairs (to which there was no objectively correct answer).
See attached README.txt for additional information.