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Functional imaging and neuronal information processing

Lookup NU author(s): Dr Angel Nevado, Professor Malcolm Young, Dr Stefano Panzeri


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Since the functional magnetic resonance imaging (fMRI) signal is likely to reflect a spatial average of the activity of neurons with partly dissimilar response properties, its interpretation in terms of neuronal information processing may be difficult. We explored this problem by means of a simple computational model based on known tuning properties of individual neurons and on the assumption that the fMRI BOLD signal is proportional to the local mean activity. We investigated the relationship between information transmitted by the population, BOLD signal and information conveyed by the BOLD signal. We found that the relationships between these variables were complex and dependent on voxel-size. © 2002 Elsevier Science B.V. All rights reserved.

Publication metadata

Author(s): Nevado A, Young MP, Panzeri S

Publication type: Article

Publication status: Published

Journal: Neurocomputing

Year: 2002

Volume: 44-46

Pages: 1127-1131

Print publication date: 01/01/2002

ISSN (print): 0925-2312

ISSN (electronic): 1872-8286

Publisher: Elsevier


DOI: 10.1016/S0925-2312(02)00434-4


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