Author

Amanda A. Simon

Dartmouth College

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Assay:electronic health records· 2 Approach:machine learning (classical)· 2 Organism:rat· 2

Frequent Co-Authors

Alan I. GreeniD· 2 shared Lucas L. DwieliD· 2 shared Wilder T. DoucetteiD· 2 shared Angela M. HenricksiD· 1 shared Jared E. BoyceiD· 1 shared Jibran Younis KhokhariD· 1 shared Metztli J. Ruiz-Jaquez· 1 shared Nicholas H. Deveau· 1 shared

Activity by Year

2018-2018 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 22 mutual co-author links

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2 shared papersNeuroscience

Alan I. GreenORCID

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2 papers

Recent·Most cited

Corticostriatal oscillations predict high vs. low drinkers in a preclinical model of limited access alcohol consumption

Angela M. Henricks, Lucas L. Dwiel, Nicholas H. Deveau, Amanda A. Simon, Metztli J. Ruiz-Jaquez, Alan I. Green, Wilder T. Doucette

The paper uses machine learning to predict high vs. low alcohol-drinking rats based on corticostriatal oscillations and shows stimulation effects differ between groups.

bioRxiv · Dec 19, 2018 · PreprintNeuroscience

Machine learning based classification of deep brain stimulation outcomes in a rat model of binge eating using ventral striatal oscillations.

Wilder T. Doucette, Lucas L. Dwiel, Jared E. Boyce, Amanda A. Simon, Jibran Younis Khokhar, Alan I. Green

The paper uses machine learning to predict deep brain stimulation outcomes in a rat binge eating model based on ventral striatal oscillations, finding better prediction accuracy than chance.

Frontiers in Psychiatry · Aug 3, 2018Peer-reviewedNeuroscience