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1/f(p) Characteristics of the Fourier power spectrum affects ERP correlates of face learning and recognition.
- Source :
-
Biological psychology [Biol Psychol] 2011 Dec; Vol. 88 (2-3), pp. 204-14. Date of Electronic Publication: 2011 Aug 19. - Publication Year :
- 2011
-
Abstract
- We investigated the influence of Fourier power spectrum (1/f(p)) characteristics on face learning while recording ERPs that are associated with the representation of faces. Two image sets with an altered 1/f(p) characteristics were created. The first set consisted of stimuli with a STEEP SLOPE (1/f(3.5)) and therefore enhanced low spatial frequencies (LSF) and attenuated high spatial frequencies (HSF). The second set consisted of stimuli with a SHALLOW SLOPE (1/f(2)), similar to complex natural scenes and artwork, resulting in enhanced HSF and attenuated LSF. Faces with a SHALLOW SLOPE elicited larger N170 and N250 amplitudes and larger old/new effects for central positivity in comparison to unmodified faces. The opposite effect was observed for faces with a STEEP SLOPE that led to slower reaction times. This result suggests that diminishing the ratio of fine detail (HSF) to coarse structures (LSF) impairs face learning, whereas increasing it facilitates neurocognitive correlates of face learning.<br /> (Copyright © 2011 Elsevier B.V. All rights reserved.)
- Subjects :
- Adolescent
Adult
Data Interpretation, Statistical
Electroencephalography
Female
Fourier Analysis
Humans
Male
Photic Stimulation
Psychomotor Performance physiology
Reaction Time physiology
Visual Perception physiology
Young Adult
Evoked Potentials physiology
Face
Learning physiology
Recognition, Psychology physiology
Subjects
Details
- Language :
- English
- ISSN :
- 1873-6246
- Volume :
- 88
- Issue :
- 2-3
- Database :
- MEDLINE
- Journal :
- Biological psychology
- Publication Type :
- Academic Journal
- Accession number :
- 21856372
- Full Text :
- https://doi.org/10.1016/j.biopsycho.2011.08.003