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analysis final
 
 
analysis
 
 
cfile
 
 
correlation-shuffle
 
 
data
 
 
exp-setup
 
 
im
 
 
refactored
 
 
test stimuli
 
 
validate
 
 
KLDiv.m
 
 
a_AllTrial_Likelihood.m
 
 
a_AllTrial_SoftLikLapse.m
 
 
a_BALDscore.m
 
 
a_Combine_Data.m
 
 
a_DIM.m
 
 
a_DImgVSRev.m
 
 
a_DRevNum.m
 
 
a_DimageID.m
 
 
a_DrevealNumber.m
 
 
a_Dtrials.m
 
 
a_ErrorShade.m
 
 
a_GaussFilter.m
 
 
a_GenGPimage.m
 
 
a_GetBALDGM_mex.c
 
 
a_GetBALDGM_mex.mexw64
 
 
a_GetMaxEnt_mex.c
 
 
a_GetMaxEnt_mex.mexw64
 
 
a_Get_AnswerReal.m
 
 
a_Get_BALD.m
 
 
a_Get_BALDmap_window.m
 
 
a_Get_BALDmap_window_xs.m
 
 
a_Get_BALDnoisy.m
 
 
a_Get_BALDscoreProp.m
 
 
a_Get_Human_Perf.m
 
 
a_Get_ImageID.m
 
 
a_Get_Model_Perf.m
 
 
a_Get_PL_of_RevealType.m
 
 
a_Get_RevealMap.m
 
 
a_Get_RevealMap_mod.m
 
 
a_Get_RevealMap_mod2.m
 
 
a_Get_RevealNumber.m
 
 
a_ImID_RevN_RevPos_BALD_antiBALD.m
 
 
a_ImID_RevN_RevPos_Rand.m
 
 
a_Model.m
 
 
a_Model_2014-02-10.m
 
 
a_PL_BalanceType.m
 
 
a_RevN_Rand.m
 
 
a_analysis_subject.m
 
 
a_exp_setup.m
 
 
a_figure_template.m
 
 
a_isoperiR.m
 
 
a_optimize_likelihood.m
 
 
a_plot_trial.m
 
 
a_simulate_BAS.m
 
 
a_validate_perception_model.m
 
 
license.rtf
 
 
list.m
 
 
readme.md
 
 
startup.m
 
 
Code for Active sensing in the categorization of visual patterns Note The Bayesian active sensing core Making Figure 3A in the paper (testing)

readme.md

Code for Active sensing in the categorization of visual patterns

Note

  • These code may be incomplete, as they are extracted from a bigger directory.
  • Only the first layer of directory structure is kept (for now).
  • Only matlab/c functions are kept (no data, fig, etc. for now).
  • The folder correlation-shuffle contains the latest correlation analysis.
  • The folder exp-setup contains some of the earliest code for setting up the experiment.

The Bayesian active sensing core

  • a_Get_BALDscoreProp.m computes the BAS score map. Among other functions, it calls a_Model.m and a_GetBALDGM_mex.c.
  • a_Model.m computes type posteriors, gradients of parameters, and other stuff.
  • a_GetBALDGM_mex.c computes the BAS score of individual location.

Making Figure 3A in the paper (testing)

  • Run BAS/analysis final/simu_BASs.m.
    • Comment out lines 65-66. Uncomment lines 47, 49-50.
    • No input needed. Output is SIM.
  • Run BAS/analysis final/revmap_sim.m.
    • Comment out lines 138-139, 142-172, 212. Uncomment lines 107-135, 210.
    • DRemovePhase(D) is introduced during the review process.
    • Input is SIM. Outputs are [REV, RrevMap, RdrevMap].
  • Run BAS/analysis final/plot_rev_maps.m.
    • Inputs are RrevMap, RdrevMap. Output is Figure 3A.

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Bayesian active sensing

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