Victoria Anne Smith

Affiliations: 
University of St Andrews, Saint Andrews, Scotland, United Kingdom 
Area:
Computational modeling
Website:
http://biology.st-andrews.ac.uk/vannesmithlab/
Google:
"Victoria Smith"
Cross-listing: Neurotree

Parents

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Erich David Jarvis post-doc 2001-2005 Duke (Neurotree)

Children

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Peter Mann grad student 2017- University of St Andrews (Chemistry Tree)
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Publications

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Patel KR, Tobyne S, Porter D, et al. (2018) Structural disconnection is responsible for increased functional connectivity in multiple sclerosis. Brain Structure & Function
Aderhold A, Husmeier D, Smith VA. (2013) Reconstructing ecological networks with hierarchical Bayesian regression and Mondrian processes Journal of Machine Learning Research. 31: 75-84
Milns I, Beale CM, Smith VA. (2010) Revealing ecological networks using Bayesian network inference algorithms. Ecology. 91: 1892-9
Echtermeyer C, Smulders TV, Smith VA. (2010) Causal pattern recovery from neural spike train data using the Snap Shot Score. Journal of Computational Neuroscience. 29: 231-52
Smith VA. (2010) Revealing structure of complex biological systems using bayesian networks Network Science: Complexity in Nature and Technology. 185-204
Smith VA, Yu J, Smulders TV, et al. (2006) Computational inference of neural information flow networks. Plos Computational Biology. 2: e161
Yu J, Smith VA, Wang PP, et al. (2004) Advances to Bayesian network inference for generating causal networks from observational biological data. Bioinformatics (Oxford, England). 20: 3594-603
Smith VA, Jarvis ED, Hartemink AJ. (2003) Influence of network topology and data collection on network inference. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 164-75
Jarvis ED, Smith VA, Wada K, et al. (2002) A framework for integrating the songbird brain. Journal of Comparative Physiology. a, Neuroethology, Sensory, Neural, and Behavioral Physiology. 188: 961-80
Smith VA, Jarvis ED, Hartemink AJ. (2002) Evaluating functional network inference using simulations of complex biological systems. Bioinformatics (Oxford, England). 18: S216-24
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