120 citations · 871 across the 41 of their papers we have counts for
4 papers · 1 filter
Automatic discovery of cell types and microcircuitry from neural connectomics
Eric Jonas, Konrad Kording
Neural connectomics has begun producing massive amounts of data, necessitating new analysis methods to discover the biological and computational structure. It has long been assumed…
Rosetta Brains: A Strategy for Molecularly-Annotated Connectomics
Adam H Marblestone, Evan R Daugharthy, Reza Kalhor +9
We propose a neural connectomics strategy called Fluorescent In-Situ Sequencing of Barcoded Individual Neuronal Connections (FISSEQ-BOINC), leveraging fluorescent in situ nucleic a…
A high-reproducibility and high-accuracy method for automated topic classification
Andrea Lancichinetti, M. Irmak Sirer, Jane X. Wang +3
Much of human knowledge sits in large databases of unstructured text. Leveraging this knowledge requires algorithms that extract and record metadata on unstructured text documents.…
Spatial Information in Large-Scale Neural Recordings
Thaddeus R. Cybulski, Joshua I. Glaser, Adam H. Marblestone +4
A central issue in neural recording is that of distinguishing the activities of many neurons. Here, we develop a framework, based on Fisher information, to quantify how separable a…