Effects of temporal community structure learning on reasoning decisions

# Tesser

The Tesser study was designed to examine how temporal statistical learning affects reasoning about non-temporal features.

## Experiment

Participants were exposed to sequences of objects that followed a temporal community structure. They then completed three tasks that tested how temporal statistical learning affected inductive inference about object properties, event segmentation, and perceived object similarity.

Task phases:

learn - Initial exposure to structured object sequences that were determined based on the temporal community structure.

struct - During fMRI scanning, further viewing of structured object sequences, with interleaved scrambled object sequences.

induct - Outside the scanner, a test of inductive inference about object properties.

parse - Viewing of object sequences with button presses to indicate perceived event boundaries.

group - Placement of objects on a grid based on subjective non-perceptual similarity.

## Analysis code

Analysis code in Python, Bash, and Jupyter notebooks is archived at https://doi.org/10.5281/zenodo.4793426. Commands to reproduce the analysis protocol are available at https://github.com/prestonlab/tesser/wiki/Analysis-protocol.

## Reference

Athula Pudhiyidath+, Neal W Morton+, Rodrigo Viveros Duran, Anna C. Schapiro, Ida Momennejad, Demitrius M. Hinojosa-Rowland, Robert J. Molitor, Alison R. Preston. 2022. Representations of temporal community structure in hippocampus and precuneus predict inductive reasoning decisions. Journal of Cognitive Neuroscience. doi: https://doi.org/10.1162/jocn_a_01864. + authors contributed equally.