Work

Reverse correlation of natural statistics for ecologically relevant characterization of human perceptual templates

Year: 2025

Type: article

Abstract: Reverse correlation is the method of choice for estimating neuronal/perceptual receptive fields, however, its applicability to natural behavior is hampered by the highly structured statistics of natural scenes. Although contemporary techniques for incorporating natural statistics have proven successful in neuronal settings, their applicability to psychophysical settings is unknown. We demonstrate that those techniques are indeed applicable to human observers, but with some important caveats that, if ignored, may lead to gross misinterpretations of the perceptual process.

Source: Journal of Neurophysiology

DOI: 10.1152/jn.00059.2024

Authors: Lorenzo Landolfi, Peter Neri

Institutions: Centre National de la Recherche Scientifique, Université Paris Sciences et Lettres, École Normale Supérieure - PSL, Italian Institute of Technology

Language: English

Topic: Visual perception and processing mechanisms

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

Open Access status: hybrid

Funders: Agence Nationale de la Recherche, Centre National de la Recherche Scientifique, Istituto Italiano di Tecnologia

Awards: The space in between: where local meets global in human vision, New-generation Psychometric Tools for Characterizing Hearing efficiency and its deficits, A computable account of human image reconstruction from natural scenes, Frontières en cognition