MSA paper and package

[Alon Keinan]

I would like to announce the availability of the following paper 
describing our recently developed Multi-perturbation Shapley value 
Analysis (MSA) method, as well as a matlab package implementing the 
different MSA variants. Both are available at http://cns.tau.ac.il/msa, 
where you can find some more MSA-related papers, inlcuding implementations 
to the analysis of neurally-driven evolved autonomous agents and gene 
multi-knockout experiments.

A. Keinan, B. Sandbank, C. C. Hilgetag, I. Meilijson, and E. Ruppin 
(2004). Fair attribution of functional contribution in artificial and 
biological networks. Neural Computation, 16(9), 1887-1915

Abstract:
This paper 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 on the inner workings of computational models of 
neurophysiological systems.

Any comments you may have on this work are very welcome.

Best,

Alon Keinan