Fair attribution of functional contribution in artificial and biological networks

TitleFair attribution of functional contribution in artificial and biological networks
Publication TypeJournal Article
Year of Publication2004
AuthorsKeinan A, Sandbank B, Hilgetag CC, Meilijson I, Ruppin E
JournalNeural Comput
Date Publishedsep
KeywordsAlgorithms, Animals, Cluster Analysis, Computer Simulation, Functional Laterality, Humans, Lampreys, Models, Neural Networks (Computer), Neural Pathways, Neurological, Neurons, Social Perception

This letter presents the multi-perturbation Shapley value analysis ({MSA)}, an axiomatic, scalable, and rigorous method for deducing causal function localization from multiple perturbations data. The {MSA}, based on fundamental concepts from game theory, accurately quantifies the contributions of network elements and their interactions, overcoming several shortcomings of previous function localization approaches. Its successful operation is demonstrated in both the analysis of a neurophysiological model and of reversible deactivation data. The {MSA} has a wide range of potential applications, including the analysis of reversible deactivation experiments, neuronal laser ablations, and transcranial magnetic stimulation "virtual lesions," as well as in providing insight into the inner workings of computational models of neurophysiological systems.