GitHub - tomov/BeliefStateForaging-Simulations: simulations for belief state foraging task inspired by Starkweather et al. (2017)

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simulations for belief state foraging task inspired by Starkweather et al. (2017)

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Name		Name	Last commit message	Last commit date
Latest commit History 59 Commits
BQ.m		BQ.m
BQ_0.m		BQ_0.m
Qlearn.m		Qlearn.m
README.txt		README.txt
analytical_TD.m		analytical_TD.m
analytical_beliefTD.m		analytical_beliefTD.m
analytical_hazard.m		analytical_hazard.m
analytical_optimal.m		analytical_optimal.m
cost_beliefStateForaging.m		cost_beliefStateForaging.m
demo.m		demo.m
estimate_env.m		estimate_env.m
fit.m		fit.m
get_distr.m		get_distr.m
include.m		include.m
init_env_0.m		init_env_0.m
init_env_1.m		init_env_1.m
init_env_2.m		init_env_2.m
init_params.m		init_params.m
next_env_0.m		next_env_0.m
next_env_1.m		next_env_1.m
next_env_1_1.m		next_env_1_1.m
next_env_2.m		next_env_2.m
next_env_2_1.m		next_env_2_1.m
plot_BQ_0.m		plot_BQ_0.m
plot_BQlearn.m		plot_BQlearn.m
plot_Qlearn.m		plot_Qlearn.m
plot_env.m		plot_env.m
plot_graph_0.m		plot_graph_0.m
plot_graph_1.m		plot_graph_1.m
plot_graph_2.m		plot_graph_2.m
rewdist_mixnorm_cdf.m		rewdist_mixnorm_cdf.m
rewdist_mixnorm_mu.m		rewdist_mixnorm_mu.m
rewdist_mixnorm_pdf.m		rewdist_mixnorm_pdf.m
rewdist_mixnorm_rnd.m		rewdist_mixnorm_rnd.m
rewdist_norm_cdf.m		rewdist_norm_cdf.m
rewdist_norm_mu.m		rewdist_norm_mu.m
rewdist_norm_pdf.m		rewdist_norm_pdf.m
rewdist_norm_rnd.m		rewdist_norm_rnd.m
rewdist_unif_cdf.m		rewdist_unif_cdf.m
rewdist_unif_mu.m		rewdist_unif_mu.m
rewdist_unif_pdf.m		rewdist_unif_pdf.m
rewdist_unif_rnd.m		rewdist_unif_rnd.m
scratch.m		scratch.m
scratch3.m		scratch3.m
simulation_optimal.m		simulation_optimal.m

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Q_learn: use to generate q learning simulations
- csc model learns based on observations
- plotted with plot Q_learn, goes automatically

BQ.m : virtual reality task - very similar with small difference
BQ0.m : clara's task, works with environment 0
- these guys get passed 
each column of the heatmaps are B at a given timepoints

init_env_0 : exactly clara's env
 - goes with next_env_0
init_env_1: our environment, single track.. set probes to 0 to get track 1
 - goes with next_env_1
 - next_env_1 goes along with the track not appearing.. change transition structure
 
 init_params.m : pass all parameters needed for diff exp/set of assumptions
 - clara_task_1_orig : original starkweather POMDP
 - clara_task_1: our POMDP
 -  + _ITI makes observation of ITI visually distinct from ISI

next_env_1.m : every action has two possible 

plot_env : use to generate the graphs