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Machine Learning Reveals Modules of Economic Behavior Regulated by Genetic and Parental Effects in Foraging Mice

81 Pages Posted: 18 Jul 2018 Sneak Peek Status: Review Complete

See all articles by Cornelia N Stacher Hörndli

Cornelia N Stacher Hörndli

University of Utah - Department of Neurobiology and Anatomy

Eleanor Wong

University of Utah - School of Computing

Elliott Ferris

University of Utah - Department of Neurobiology and Anatomy

Alexis Nikole Rhodes

University of Utah - Department of Neurobiology and Anatomy

P. Thomas Fletcher

University of Utah - School of Computing

Christopher Gregg

University of Utah - Department of Neurobiology and Anatomy

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Abstract

Complex ethological behavior patterns could be constructed from modules that are discrete functional units of behavior. Here, we test this idea for foraging and develop a paradigm to dissect rich foraging patterns in mice. We uncover discrete behavioral modules linked to round trip excursions from the home. Machine learning reveals 59 modules across different genetic backgrounds and ages. Different modules develop at different ages and are linked to different aspects of economic behavior, including memory, reward, risk and effort responses. Crosses of distant mouse strains reveal that parental and genetic effects shape different foraging patterns by altering module expression, and parental effects grow stronger with age. Specific modules, genes and pathways are found to be sensitive to parental effects. One candidate gene, Magel2, is linked to Prader-Willi Syndrome and shaped the expression of specific modules at later ages. Our results reveal building blocks for normal and abnormal economic behavior patterns.

Suggested Citation

Hörndli, Cornelia N Stacher and Wong, Eleanor and Ferris, Elliott and Rhodes, Alexis Nikole and Fletcher, P. Thomas and Gregg, Christopher, Machine Learning Reveals Modules of Economic Behavior Regulated by Genetic and Parental Effects in Foraging Mice (2018). Available at SSRN: https://ssrn.com/abstract=3215353 or http://dx.doi.org/10.2139/ssrn.3215353
This is a paper under consideration at Cell Press and has not been peer-reviewed.

Cornelia N Stacher Hörndli

University of Utah - Department of Neurobiology and Anatomy

1645 E. Campus Center
Salt Lake City, UT 84112
United States

Eleanor Wong

University of Utah - School of Computing

UT
United States

Elliott Ferris

University of Utah - Department of Neurobiology and Anatomy

1645 E. Campus Center
Salt Lake City, UT 84112
United States

Alexis Nikole Rhodes

University of Utah - Department of Neurobiology and Anatomy

1645 E. Campus Center
Salt Lake City, UT 84112
United States

P. Thomas Fletcher

University of Utah - School of Computing

UT
United States

Christopher Gregg (Contact Author)

University of Utah - Department of Neurobiology and Anatomy ( email )

1645 E. Campus Center
Salt Lake City, UT 84112
United States

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