TY - JOUR
T1 - Causal localization of neural function
T2 - The Shapley value method
AU - Keinan, Alon
AU - Hilgetag, Claus C.
AU - Meilijson, Isaac
AU - Ruppin, Eytan
N1 - Funding Information:
We acknowledge the valuable contributions and suggestions made by Ranit Aharonov, Shay Cohen, Zohar Ganon, Ehud Lehrer and Keren Saggie and the technical help provided by Oran Singer. This research has been supported by the Adams Super Center for Brain Studies in Tel-Aviv University and by the Israel Science Foundation founded by the Israel Academy of Sciences and Humanities.
PY - 2004/6
Y1 - 2004/6
N2 - Identifying the functional roles of elements of a neural network is one of the fundamental challenges in understanding neural information processing. Aiming at this goal, lesion studies have been used extensively in neuroscience. Most of these employ single lesions and hence, limited ability in revealing the significance of interacting elements. This paper presents the multi - perturbation Shapley value analysis ( MSA ), an axiomatic, scalable and rigorous method, addressing the challenge of determining the contributions of network elements from a data set of multi-lesions or other perturbations. The successful workings of the MSA are demonstrated on artificial and biological data. MSA is a novel method for causal function localization, with a wide range of potential applications for the analysis of reversible deactivation experiments and TMS-induced "virtual lesions".
AB - Identifying the functional roles of elements of a neural network is one of the fundamental challenges in understanding neural information processing. Aiming at this goal, lesion studies have been used extensively in neuroscience. Most of these employ single lesions and hence, limited ability in revealing the significance of interacting elements. This paper presents the multi - perturbation Shapley value analysis ( MSA ), an axiomatic, scalable and rigorous method, addressing the challenge of determining the contributions of network elements from a data set of multi-lesions or other perturbations. The successful workings of the MSA are demonstrated on artificial and biological data. MSA is a novel method for causal function localization, with a wide range of potential applications for the analysis of reversible deactivation experiments and TMS-induced "virtual lesions".
KW - Contributions analysis
KW - Interactions
KW - Localization of function
KW - Multi-lesions
KW - Multi-perturbations
KW - Shapley value
UR - http://www.scopus.com/inward/record.url?scp=2542436064&partnerID=8YFLogxK
U2 - 10.1016/j.neucom.2004.01.046
DO - 10.1016/j.neucom.2004.01.046
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AN - SCOPUS:2542436064
SN - 0925-2312
VL - 58-60
SP - 215
EP - 222
JO - Neurocomputing
JF - Neurocomputing
ER -