850 citations · 954 across the 8 of their papers we have counts for
5 papers · 1 filter
The time is ripe to reverse engineer an entire nervous system: simulating behavior from neural interactions
Gal Haspel, Ben Baker, Isabel Beets +34
Just like electrical engineers understand how microprocessors execute programs in terms of how transistor currents are affected by their inputs, neuroscientists want to understand…
Automated scalable segmentation of neurons from multispectral images
Uygar Sümbül, Douglas Roussien, Fei Chen +5
Reconstruction of neuroanatomy is a fundamental problem in neuroscience. Stochastic expression of colors in individual cells is a promising tool, although its use in the nervous sy…
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…
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…
Physical Principles for Scalable Neural Recording
Adam H. Marblestone, Bradley M. Zamft, Yael G. Maguire +15
Simultaneously measuring the activities of all neurons in a mammalian brain at millisecond resolution is a challenge beyond the limits of existing techniques in neuroscience. Entir…