|
Got it, thank you very much for you fast responses! A related question: the classical reverse correlation technique usually uses the "white noise" idea
and assumes that all stimulus components (e.g., acoustic energy in different spectral regions, or all the picture elements in an image) are *uncorrelated*. In contrast, in studies on "psychophysical reverse correlation", we
use multiple regression analyses which are not affected by correlated cues/stimulus components (e.g.,
http://dx.doi.org/10.1371/journal.pone.0050184). Is anyone aware of a technique for the "classical" reverse correlation as in the de Boer paper that
can be used with correlated stimulus components? Best Daniel PD Dr. Daniel Oberfeld-Twistel Johannes Gutenberg - Universitaet Mainz Department of Psychology Experimental Psychology Wallstrasse 3 55122 Mainz Germany Phone ++49 (0) 6131 39 39274
Fax ++49 (0) 6131 39 39268 http://www.staff.uni-mainz.de/oberfeld/ https://www.facebook.com/WahrnehmungUndPsychophysikUniMainz From:
AUDITORY - Research in Auditory Perception [mailto:AUDITORY@xxxxxxxxxxxxxxx]
On Behalf Of Karl Lerud Here it is. Looks interesting; should give it a read myself.
On 10/23/2014 04:04 AM, Oberfeld-Twistel, Daniel wrote:
|