princetonCfg.toml

[experiment]
experimentName = "rtAttenPenn"
experimentId = 2
model = "rtAtten"

[session]
rtData = true
date = "today" # "2018-08-16"  # or "today", "now", "2018-03-01" or "03/01/2018" etc.
#sessionId = "20180816T123000"
subjectName = "1214181_rtAttenPenn"
subjectNum = 511
subjectDay = 2
## DISPLAY PARAMETERS ##
useButtonBox = 0
debugMode = 0
usePyOutput = 0
## DISPLAY PARAMETERS ##

## EXP DESIGN ##
#NEUTRAL = 1
#SAD = 2
#HAPPY = 3
typeNum = 2
## EXP DESIGN ##

dataDir = "/Data1/code/rtAttenPenn/data/"
imgDir = "/Data1/subjects/"
buildImgPath = true
serverDataDir = "data/server"
findNewestPatterns = true
watchFilePattern = "*.dcm"
dicomNamePattern = "001_0000{}_000{}.dcm"
minExpectedDicomSize = 300000
retrieveServerFiles = false
legacyRun1Phase2Mode = true
enforceDeadlines = true
calcClockSkewIters = 30
sliceDim = 64
cutoff = 200
FWHM = 5
Runs = [1]
ScanNums = [6]
## !Below here! --> Fields for replaying already collected data ##
replayMatFileMode = false  # will use validationData[] mat files to replay
validate = false
patternsDesignFiles = ["patternsdesign_1_20180105T000000.mat", "patternsdesign_2_20180105T000000.mat", "patternsdesign_3_20180105T000000.mat"]
validationData = ["patternsdata_1_20180105T_1048.mat", "patternsdata_2_20180105T_1049.mat", "patternsdata_3_20180105T_1049.mat"]
validationModels = ["trainedModel_1_20180105T_1048.mat", "trainedModel_2_20180105T_1049.mat", "trainedModel_3_20180105T_1049.mat"]