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Reverse correlation in neurophysiology
Author(s) -
Ringach Dario,
Shapley Robert
Publication year - 2004
Publication title -
cognitive science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.498
H-Index - 114
eISSN - 1551-6709
pISSN - 0364-0213
DOI - 10.1207/s15516709cog2802_2
Subject(s) - receptive field , correlation , neurophysiology , categorical variable , visual cortex , computer science , pattern recognition (psychology) , neuroscience , noise (video) , white noise , artificial intelligence , mathematics , psychology , machine learning , telecommunications , geometry , image (mathematics)
This article presents a review of reverse correlation in neurophysiology. We discuss the basis of reverse correlation in linear transducers and in spiking neurons. The application of reverse correlation to measure the receptive fields of visual neurons using white noise and m‐sequences, and classical findings about spatial and color processing in the cortex resulting from such measurements, are emphasized. Finally, we describe new developments in reverse correlation, including “sub‐space” and categorical reverse‐correlation. Recent results obtained by applying such methods in the orientation, spatial‐frequency and Fourier domains have revealed the importance of cortical inhibition in the establishment of sharp tuning selectivity in single neurons.