22 citations · 31 across the 9 of their papers we have counts for
9 papers
Skeletonization of neuronal processes using Discrete Morse techniques from computational topology
Samik Banerjee, Caleb Stam, Daniel J. Tward +3
To understand biological intelligence we need to map neuronal networks in vertebrate brains. Mapping mesoscale neural circuitry is done using injections of tracers that label group…
Moment kernels: a simple and scalable approach for equivariance to rotations and reflections in deep convolutional networks
Siqi Fang, Zachary Schlamowitz, Andrew Bennecke +1
Translation equivariance is a central reason convolutional neural networks have been successful in computer vision. Other symmetries, such as rotations and reflections, are similar…
Preserving Derivative Information while Transforming Neuronal Curves
Thomas L. Athey, Daniel J. Tward, Ulrich Mueller +3
The international neuroscience community is building the first comprehensive atlases of brain cell types to understand how the brain functions from a higher resolution, and more in…
Hidden Markov Modeling for Maximum Likelihood Neuron Reconstruction
Thomas L. Athey, Daniel J. Tward, Ulrich Mueller +2
Recent advances in brain clearing and imaging have made it possible to image entire mammalian brains at sub-micron resolution. These images offer the potential to assemble brain-wi…
Fitting Splines to Axonal Arbors Quantifies Relationship between Branch Order and Geometry
Thomas L. Athey, Jacopo Teneggi, Joshua T. Vogelstein +3
Neuromorphology is crucial to identifying neuronal subtypes and understanding learning. It is also implicated in neurological disease. However, standard morphological analysis focu…
Estimating Diffeomorphic Mappings between Templates and Noisy Data: Variance Bounds on the Estimated Canonical Volume Form
Daniel J. Tward, Partha Mitra, Michael I. Miller
Anatomy is undergoing a renaissance driven by availability of large digital data sets generated by light microscopy. A central computational task is to map individual data volumes…
A Community-Developed Open-Source Computational Ecosystem for Big Neuro Data
Randal Burns, Eric Perlman, Alex Baden +27
Big imaging data is becoming more prominent in brain sciences across spatiotemporal scales and phylogenies. We have developed a computational ecosystem that enables storage, visual…
NeuroStorm: Accelerating Brain Science Discovery in the Cloud
Gregory Kiar, Robert J. Anderson, Alex Baden +24
Neuroscientists are now able to acquire data at staggering rates across spatiotemporal scales. However, our ability to capitalize on existing datasets, tools, and intellectual capa…
On variational solutions for whole brain serial-section histology using the computational anatomy random orbit model
Brian C. Lee, Daniel J. Tward, Partha P. Mitra +1
This paper presents a variational framework for dense diffeomorphic atlas-mapping onto high-throughput histology stacks at the 20 um meso-scale. The observed sections are modelled…