Search Results for author: Jeremy R. Manning

Found 3 papers, 1 papers with code

Identifying stimulus-driven neural activity patterns in multi-patient intracranial recordings

no code implementations4 Feb 2022 Jeremy R. Manning

Against this backdrop, we will consider a variety of within-subject and across-subject approaches to identifying and modeling stimulus-driven neural activity patterns in multi-patient intracranial recordings.

HyperTools: A Python toolbox for visualizing and manipulating high-dimensional data

2 code implementations28 Jan 2017 Andrew C. Heusser, Kirsten Ziman, Lucy L. W. Owen, Jeremy R. Manning

Just as the position of an object moving through space can be visualized as a 3D trajectory, HyperTools uses dimensionality reduction algorithms to create similar 2D and 3D trajectories for time series of high-dimensional observations.

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Enabling Factor Analysis on Thousand-Subject Neuroimaging Datasets

no code implementations16 Aug 2016 Michael J. Anderson, Mihai Capotă, Javier S. Turek, Xia Zhu, Theodore L. Willke, Yida Wang, Po-Hsuan Chen, Jeremy R. Manning, Peter J. Ramadge, Kenneth A. Norman

The scale of functional magnetic resonance image data is rapidly increasing as large multi-subject datasets are becoming widely available and high-resolution scanners are adopted.

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