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.
Index EntriesLocalization of function multi-lesions Shapley value contributions analysis interactions multi-perturbations
Unable to display preview. Download preview PDF.
- Keinan, A., Sandbank, B., Hilgetag, C. C., Meilijson, I., and Ruppin, E. (2004) Fair attribution of functional contribution in artificial and biological networks. Neural Computation 16(2).Google Scholar
- Lomber, S. G., Payne, B. R., and Cornwell, P. (2001) Role of the superior colliculus in analyses of space: Superficial and intermediate layer contributions to visual orienting, auditory orienting, and visuospatial discriminations during unilateral and bilateral deactivations. J. Comp. Neurol. 441, 44–57.CrossRefGoogle Scholar
- Shapley, L. S. (1953) A value for n-person games. In: Contributions to the theory of games, volume II. (Kuhn, H. W., Tucker, A. W., eds.) Princeton University Press, Princeton, NJ, pp. 307–317.Google Scholar