GitHub - prestonlab/tesser_successor: Code for analyzing data from the Tesser study using Successor Representation modeling.

Code for implementing the SR model on the Tesser fMRI data

This is the repository for implementing successor representation (SR) model on behavioral and neuroimaging data from the Tesser experiment. You can find more information about Tesser here.

All code libraries for reading in behavioral data and simulations should be under tesser (e.g., from tesser import network). Notebooks can be placed in the main directory. Notebooks should generally not have function definitions; instead, add a function to the relevant module and import that module in your notebook.

Module purposes:

tesser
- network.py - defines the network used for tesser
- util.py - functions to read behavioral data (structure learning, induction)
- sr.py - core model functions for learning/running experiment phases
- fit.py - model fitting/parameter optimization
- rsa.py - creating and testing model RDMs

Name		Name	Last commit message	Last commit date
Latest commit History 468 Commits
.vscode		.vscode
Data		Data
Demetrius		Demetrius
bin		bin
experiment		experiment
jupyter		jupyter
matlab		matlab
rodrigo-test		rodrigo-test
stats_scripts		stats_scripts
tesser		tesser
testing		testing
tests		tests
.DS_Store		.DS_Store
.gitignore		.gitignore
.profile		.profile
MS_SR_communicability_ida_tesser.ipynb		MS_SR_communicability_ida_tesser.ipynb
README.md		README.md
SR-Part1_vs_neural_correlations.ipynb		SR-Part1_vs_neural_correlations.ipynb
SR-Part2_vs_neural_correlations.ipynb		SR-Part2_vs_neural_correlations.ipynb
SR-Part2_vs_neural_correlations_rhip_PrimOnly.ipynb		SR-Part2_vs_neural_correlations_rhip_PrimOnly.ipynb
SR_Matrix_Adjacency.jpg		SR_Matrix_Adjacency.jpg
SR_Matrix_Probability.jpg		SR_Matrix_Probability.jpg
SuccessorRepresentation_ModelOutline.ipynb		SuccessorRepresentation_ModelOutline.ipynb
bic_weights.ipynb		bic_weights.ipynb
compare_models.ipynb		compare_models.ipynb
demo_fitting.ipynb		demo_fitting.ipynb
demo_rsa.ipynb		demo_rsa.ipynb
demo_rsa_sr.ipynb		demo_rsa_sr.ipynb
environment.yml		environment.yml
fitting_Community.ipynb		fitting_Community.ipynb
fitting_SR.ipynb		fitting_SR.ipynb
fitting_StructSR_fit_alpha_EditAP.ipynb		fitting_StructSR_fit_alpha_EditAP.ipynb
fitting_Transitional.ipynb		fitting_Transitional.ipynb
fitting_hybridCommunity.ipynb		fitting_hybridCommunity.ipynb
fitting_hybridSR_0.0.ipynb		fitting_hybridSR_0.0.ipynb
fitting_hybridSR_fixed.ipynb		fitting_hybridSR_fixed.ipynb
fitting_hybridSR_free.ipynb		fitting_hybridSR_free.ipynb
fitting_hybridTransitional.ipynb		fitting_hybridTransitional.ipynb
fitting_limSR_free_param_EditAP.ipynb		fitting_limSR_free_param_EditAP.ipynb
posterior_samples.txt		posterior_samples.txt
setup.py		setup.py
tesser_community.ipynb		tesser_community.ipynb
test.ipynb		test.ipynb
test_behavior_rsa_sr_03_24_2020.ipynb		test_behavior_rsa_sr_03_24_2020.ipynb
test_model.ipynb		test_model.ipynb
test_modules.ipynb		test_modules.ipynb
test_sr_fit.ipynb		test_sr_fit.ipynb
transitional_matrix.ipynb		transitional_matrix.ipynb

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Code for implementing the SR model on the Tesser fMRI data

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