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Fair localization of function via multi-lesion analysis

Fair localization of function via multi-lesion analysis Acknowledging that causal localization of function in a processing network requires a multi-lesion analysis, this paper presents a rigorous and efficient method for defining and calculating the functional contributions of networ elements as well as their interactions. The method’s applicability to biological networks is demonstrated in the investigation of spatial attention in cats via lesion and reversible deactivation experiments. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Neuroinformatics Springer Journals

Fair localization of function via multi-lesion analysis

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Publisher
Springer Journals
Copyright
Copyright © Humana Press Inc 2004
ISSN
1539-2791
eISSN
1559-0089
DOI
10.1385/ni:2:2:163
Publisher site
See Article on Publisher Site

Abstract

Acknowledging that causal localization of function in a processing network requires a multi-lesion analysis, this paper presents a rigorous and efficient method for defining and calculating the functional contributions of networ elements as well as their interactions. The method’s applicability to biological networks is demonstrated in the investigation of spatial attention in cats via lesion and reversible deactivation experiments.

Journal

NeuroinformaticsSpringer Journals

Published: Jun 1, 2004

Keywords: Localization of function; multi-lesions; Shapley value; contributions analysis; interactions; multi-perturbations

References