6 papers
Torus Graphs for Large Scale Neural Phase Analysis
Jack Goffinet, Casey Hanks, David E. Carlson
Oscillatory neural signals such as electroencephalography (EEG) and local field potentials (LFPs) show phase relationships that coordinate communication across brain regions. Moder…
HiPPO Zoo: Explicit Memory Mechanisms for Interpretable State Space Models
Jack Goffinet, Casey Hanks, David E. Carlson
Representing the past in a compressed, efficient, and informative manner is a central problem for systems trained on sequential data. The HiPPO framework, originally proposed by Gu…
Generating Hypotheses of Dynamic Causal Graphs in Neuroscience: Leveraging Generative Factor Models of Observed Time Series
Zachary C. Brown, David Carlson
The field of hypothesis generation promises to reduce costs in neuroscience by narrowing the range of interventional studies needed to study various phenomena. Existing machine lea…
Pose Splatter: A 3D Gaussian Splatting Model for Quantifying Animal Pose and Appearance
Jack Goffinet, Youngjo Min, Carlo Tomasi +1
Accurate and scalable quantification of animal pose and appearance is crucial for studying behavior. Current 3D pose estimation techniques, such as keypoint- and mesh-based techniq…
Generative Principal Component Regression via Variational Inference
Austin Talbot, Corey J Keller, David E Carlson +1
The ability to manipulate complex systems, such as the brain, to modify specific outcomes has far-reaching implications, particularly in the treatment of psychiatric disorders. One…
Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image Segmentation
Feng Zhou, Yanjie Zhou, Longjie Wang +3
Traditional one-shot medical image segmentation (MIS) methods use registration networks to propagate labels from a reference atlas or rely on comprehensive sampling strategies to g…