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Accompanying code and data for Dome, L., Edmunds, C.E.R, Wills, A.J. (2021) SUSTAIN captures category learning, recognition, and hippocampal activation in a unidimensional vs information-integration task. In Proceedings of the 43rd Annual Conference of the Cognitive Science Society.

License: GNU General Public License v3.0

R 6.34% TeX 93.66%

pu037-sustain-ud-ii's Introduction

pu037 SUSTAIN simulation archive

Dome, L., Edmunds, C.E.R, Wills, A.J. (2021) SUSTAIN captures category learning, recognition, and hippocampal activation in a unidimensional vs information-integration task. In Proceedings of the 43rd Annual Conference of the Cognitive Science Society.

This repository is the archival copy of the OSF repository.

R scripts in model/

pu037train.R - Generates a matrix, where each row is one trial presented to the model and each column contains information about that trial.

pu037optim.R - This script contains the procedure used to find the best fitting parameter for SUSTAIN.

pu037simulation.R - This script carries out a simulation with SUSTAIN using pu037train().

pu037explore.R - This script was used to analyse the output of slpSUSTAIN.

recognition/pu037optim_recognition.R - The script used to find the best fitting threshold parameter for the recognition scores.

Data files

pu037.RData The original data from Edmunds et al. (2006) pu037parameters.RData Data from the parameter search using DEoptim. pu037sims.RData Simulation data from pu037simulation.R recognition/pu037test.RData Test phase performance of SUSTAIN recognition/pu037threshold.RData Data from the parameter search for response threshold using recognition/pu037test.RData

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