Fair attribution of functional contribution in artificial and biological networks
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Fair attribution of functional contribution in artificial and biological networks. / Keinan, Alon; Sandbank, Ben; Hilgetag, Claus C; Meilijson, Isaac; Ruppin, Eytan.
In: NEURAL COMPUT, Vol. 16, No. 9, 09.2004, p. 1887-915.Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review
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TY - JOUR
T1 - Fair attribution of functional contribution in artificial and biological networks
AU - Keinan, Alon
AU - Sandbank, Ben
AU - Hilgetag, Claus C
AU - Meilijson, Isaac
AU - Ruppin, Eytan
PY - 2004/9
Y1 - 2004/9
N2 - 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.
AB - 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.
KW - Algorithms
KW - Animals
KW - Cluster Analysis
KW - Computer Simulation
KW - Functional Laterality
KW - Humans
KW - Lampreys
KW - Models, Neurological
KW - Neural Networks (Computer)
KW - Neural Pathways
KW - Neurons
KW - Social Perception
KW - Comparative Study
KW - Journal Article
KW - Research Support, Non-U.S. Gov't
U2 - 10.1162/0899766041336387
DO - 10.1162/0899766041336387
M3 - SCORING: Journal article
C2 - 15265327
VL - 16
SP - 1887
EP - 1915
JO - NEURAL COMPUT
JF - NEURAL COMPUT
SN - 0899-7667
IS - 9
ER -