Logan Grosenick
Research field: Engineering - Miscellaneous
optogenetic control of biological neural networks and animal behavior, neuroimaging, computational optics, machine learning
Publications
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Journal Article (6)
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Kay M., Tye, Rohit, Prakash, Sung-Yon, Kim et al. (2011) Amygdala circuitry mediating reversible and bidirectional control of anxiety., 358–362. In Nature.
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Logan Grosenick, Stephanie Greer, Brian Knutson (2008) Interpretable classifiers for FMRI improve prediction of purchases., 539-48. In IEEE transactions on neural systems and rehabilitation engineering 16 (6).Download PDF (637.46 KB)
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Dik Kin Wong, Logan Grosenick, E Timothy Uy et al. (2008) Quantifying inter-subject agreement in brain-imaging analyses., 1051-63. In NeuroImage 39 (3).
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Colleen a Flanagan, Chun-Chun Chen, Marla Coetsee et al. (2007) Expression, structure, function, and evolution of gonadotropin-releasing hormone (GnRH) receptors GnRH-R1SHS and GnRH-R2PEY in the teleost, Astatotilapia burtoni., 5060-71. In Endocrinology 148 (10).Download PDF (1.81 MB)
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Logan Grosenick, Tricia S Clement, Russell D Fernald (2007) Fish can infer social rank by observation alone., 429-32. In Nature 445 (7126).Download PDF (343.9 KB)
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Marcos Perreau Guimaraes, Dik Kin Wong, E Timothy Uy et al. (2007) Single-trial classification of MEG recordings., 436-43. In IEEE transactions on bio-medical engineering 54 (3).Download PDF (868.7 KB)
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Conference Proceedings (3)
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Claudio G Carvalhaes, Marcos Perreau-Guimaraes, Logan Grosenick et al. (2009) EEG classification by ICA source selection of Laplacian-filtered data, 1003-1006. In Proceedings IEEE International Symposium on Biomedical Imaging: From nano to macro.Download PDF (221.13 KB)
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Logan Grosenick, Todd Anderson, Stephen J Smith (2009) Elastic Source Selection for in vivo imaging of neuronal ensembles, 6-9. In Proceedings IEEE International Symposium on Biomedical Imaging: From nano to macro.Download PDF (453.15 KB)
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D. Wong, M. Guimaraes, E. Uy et al. (2006) Multichannel Classification of Single EEG Trials with Independent Component Analysis, 541–547. In Advances in Neural Networks-ISNN 2006.Download PDF (295.66 KB)
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Working Paper (2)
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Logan Grosenick, Brad, Klingenberg, Brian Knutson et al. (2011) A family of interpretable multivariate models for regression and classification of whole-brain fMRI data.
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Genevera I. Allen, Logan Grosenick, Jonathan E. Taylor (2011) A Generalized Least Squares Matrix Decomposition.
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Awards and Grants
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Biographical Information
Ph. D. candidate (advisors Karl Deisseroth and Patrick Suppes)
http://www.stanford.edu/~logang/
http://www.stanford.edu/~logang/
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