Signal Detection Theory and Psychophysics - Andrei Gorea

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Réponse d’un filtre (s/s ou autre)Réponse d’un filtreThe UNIVARIANCE principleIntensité ou « qualité » du StimulusR« Qualité » (l)VR RmaxnIns In RI = stimulus intensityR = responseR max = max resp.N = max slopeS = semi-saturation cst.R s = spontaneous RSUn autreUn Canal,Filtre.Chp Récep.
RESPONSE NORMALIZATIONNormalization works (here) byDivisiveinhibitiondividing each outputby the sum of all outputs.Heeger, D.J. (1992). Normalization of cell responses in cat striate cortex. Visual Neuroscience, 9, 181-197.
Page 1 and 2: THEORIE DE LA DETECTION DU SIGNALLa
Page 4 and 5: PhysicalWorldSensoryProcessesInfere
Page 6 and 7: z-ScoreOu « score normal » ou «
Page 8 and 9: P(z)p N (z=c)SIGNAL DETECTION THEOR
Page 10 and 11: Criterion settingObservers set a cr
Page 12 and 13: SDT: THE STANDARD MODELOptimal crit
Page 14: z(FA)1 - p > .5p < .51 - p < .5p >
Page 17 and 18: P(zpHReceiving Operating Characteri
Page 19 and 20: pHP(z)ROC & the Rating experimentOU
Page 21 and 22: PROBABABILITÉd’ with unequal var
Page 23 and 24: d’ with unequal varianceszH210-1-
Page 25 and 26: HIGH-THRESHOLD THEORY*The HTT propo
Page 27 and 28: P(z)pHP(z)pHIn the rest of thedecis
Page 29 and 30: RRRResponsed’TRANSDUCTION & THRES
Page 31 and 32: RRResponsed’TRANSDUCTION & THRESH
Page 33 and 34: LA RELATION ENTRE Y/N & 2AFC1 20 SA
Page 35 and 36: P(z)P(z)P(z)Reasons for “invisibi
Page 37 and 38: P(z)% YESCRITERIONThe response crit
Page 39: CHANNELS, NOISEandSIGNAL DETECTION
Page 43 and 44: RESPONSE (e.g. s/s)CHANNELS & RESPO
Page 45 and 46: RR = kIlog (I )RTRANSDUCTIONR kIs
Page 47 and 48: RR = log(I)log (I )RTRANSDUCTIONR
Page 51: Temps. RéactionTemps. RéactionTre
Page 54: Temps. RéactionTemps. RéactionTem

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