activity
20162020
most citedProbabilistic Fluorescence-Based Synapse Detection

18 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.NC2020

Common Cell type Nomenclature for the mammalian brain: A systematic, extensible convention

Jeremy A. Miller, Nathan W. Gouwens, Bosiljka Tasic +7

The advancement of single cell RNA-sequencing technologies has led to an explosion of cell type definitions across multiple organs and organisms. While standards for data and metad…

cs.CV2020★ 1 cited

Automated Neuron Shape Analysis from Electron Microscopy

Sharmishtaa Seshamani, Leila Elabbady, Casey Schneider-Mizell +17

Morphology based analysis of cell types has been an area of great interest to the neuroscience community for several decades. Recently, high resolution electron microscopy (EM) dat…

q-bio.NC2018★ 1 cited

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…

q-bio.OT2018

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…

cs.CV2016★ 18 cited

Probabilistic Fluorescence-Based Synapse Detection

Anish K. Simhal, Cecilia Aguerrebere, Forrest Collman +5

Brain function results from communication between neurons connected by complex synaptic networks. Synapses are themselves highly complex and diverse signaling machines, containing…