Dynamic brightness induction in V1: Analyzing simulated and empirically acquired fMRI data in a 'common brain space' framework
| Autor: | Rainer Goebel, Bert Jans, Peter De Weerd, Vincent van de Ven, Judith C. Peters |
|---|---|
| Přispěvatelé: | Netherlands Institute for Neuroscience (NIN), Cognitive Neuroscience, RS: FPN CN I |
| Jazyk: | angličtina |
| Rok vydání: | 2010 |
| Předmět: |
Brightness
Visual perception Cognitive Neuroscience media_common.quotation_subject Models Neurological INTRINSIC CONNECTIONS Illusion Large-scale neuromodeling neuroimaging Luminance 3-DIMENSIONAL FORM Visual processing Neuroimaging RECURRENT NETWORK ARCHITECTURE medicine Humans PERCEPTUAL FILLING-IN Computer vision CYTOCHROME-OXIDASE BLOBS Brightness illusion RECEPTIVE-FIELDS media_common Visual Cortex neuroimaging business.industry Large-scale neuromodeling Magnetic Resonance Imaging PRIMARY VISUAL-CORTEX Visual cortex medicine.anatomical_structure Neurology Receptive field SPATIAL-FILTERING ACCOUNT Visual Perception Surface perception Artificial intelligence Neural Networks Computer Psychology business MACAQUE STRIATE CORTEX FUNCTIONAL-ORGANIZATION |
| Zdroj: | NeuroImage, 52, 973-984. Academic Press Neuroimage, 52(3), 973-984. Elsevier Science |
| ISSN: | 1095-9572 1053-8119 |
| Popis: | Computational neuromodeling may help to further our understanding of how empirical neuroimaging findings are generated by underlying neural mechanisms. Here, we used a simple computational model that simulates early visual processing of brightness changes in a dynamic, illusory display. The model accurately predicted illusory brightness changes in a grey area of constant luminance induced by (and in anti-phase to) luminance changes in its surroundings. Moreover, we were able to directly compare these predictions with recently observed fMRI results on the same brightness illusion by projecting predicted activity from our model onto empirically investigated brain regions. This new approach in which generated network activity and measured neuroimaging data are interfaced in a common representational "brain space" can contribute to the integration of computational and experimental neuroscience. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect