504 citations · 2k across the 109 of their papers we have counts for
8 papers · 1 filter
Compiling molecular ultrastructure into neural dynamics
Konrad P. Kording, Anton Arkhipov, Davy Deng +22
High-resolution brain imaging can now capture not just synapse locations but their molecular composition, with the cost of such mapping falling exponentially. Yet such ultrastructu…
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…
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…
Multiscale Comparative Connectomics
Vivek Gopalakrishnan, Jaewon Chung, Eric Bridgeford +8
The connectome, a map of the structural and/or functional connections in the brain, provides a complex representation of the neurobiological phenotypes on which it supervenes. This…
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…
Grand Challenges for Global Brain Sciences
Joshua T. Vogelstein, Katrin Amunts, Andreas Andreou +59
The next grand challenges for society and science are in the brain sciences. A collection of 60+ scientists from around the world, together with 10+ observers from national, privat…
Magnetic Resonance Connectome Automated Pipeline
William R. Gray, John A. Bogovic, Joshua T. Vogelstein +3
This manuscript presents a novel, tightly integrated pipeline for estimating a connectome, which is a comprehensive description of the neural circuits in the brain. The pipeline ut…
Optimizing the quantity/quality trade-off in connectome inference
Carey E. Priebe, Joshua T. Vogelstein, Davi Bock
We demonstrate a meaningful prospective power analysis for an (admittedly idealized) illustrative connectome inference task. Modeling neurons as vertices and synapses as edges in a…