The big data challenges of connectomics

JW Lichtman, H Pfister, N Shavit - Nature neuroscience, 2014 - nature.com
The structure of the nervous system is extraordinarily complicated because individual
neurons are interconnected to hundreds or even thousands of other cells in networks that …

[HTML][HTML] Saturated reconstruction of a volume of neocortex

N Kasthuri, KJ Hayworth, DR Berger, RL Schalek… - Cell, 2015 - cell.com
We describe automated technologies to probe the structure of neural tissue at nanometer
resolution and use them to generate a saturated reconstruction of a sub-volume of mouse …

Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy

K Lee, N Turner, T Macrina, J Wu, R Lu… - Current opinion in …, 2019 - Elsevier
Neural circuits can be reconstructed from brain images acquired by serial section electron
microscopy. Image analysis has been performed by manual labor for half a century, and …

A large fraction of neocortical myelin ensheathes axons of local inhibitory neurons

KD Micheva, D Wolman, BD Mensh, E Pax… - elife, 2016 - elifesciences.org
Myelin is best known for its role in increasing the conduction velocity and metabolic
efficiency of long-range excitatory axons. Accordingly, the myelin observed in neocortical …

Whole-body tissue stabilization and selective extractions via tissue-hydrogel hybrids for high-resolution intact circuit map** and phenoty**

JB Treweek, KY Chan, NC Flytzanis, B Yang… - Nature protocols, 2015 - nature.com
To facilitate fine-scale phenoty** of whole specimens, we describe here a set of tissue
fixation-embedding, detergent-clearing and staining protocols that can be used to transform …

[HTML][HTML] Application of the hierarchical bootstrap to multi-level data in neuroscience

V Saravanan, GJ Berman, SJ Sober - Neurons, behavior, data …, 2020 - ncbi.nlm.nih.gov
A common feature in many neuroscience datasets is the presence of hierarchical data
structures, most commonly recording the activity of multiple neurons in multiple animals …

Systematic errors in connectivity inferred from activity in strongly recurrent networks

A Das, IR Fiete - Nature Neuroscience, 2020 - nature.com
Understanding the mechanisms of neural computation and learning will require knowledge
of the underlying circuitry. Because it is difficult to directly measure the wiring diagrams of …

Genome sequencing of the sweetpotato whitefly Bemisia tabaci MED/Q

W **e, C Chen, Z Yang, L Guo, X Yang, D Wang… - …, 2017 - academic.oup.com
The sweetpotato whitefly Bemisia tabaci is a highly destructive agricultural and ornamental
crop pest. It damages host plants through both phloem feeding and vectoring plant …

Quantifying mesoscale neuroanatomy using X-ray microtomography

EL Dyer, WG Roncal, JA Prasad, HL Fernandes… - eneuro, 2017 - eneuro.org
Methods for resolving the three-dimensional (3D) microstructure of the brain typically start by
thinly slicing and staining the brain, followed by imaging numerous individual sections with …

A community-developed open-source computational ecosystem for big neuro data

JT Vogelstein, E Perlman, B Falk, A Baden… - Nature …, 2018 - nature.com
To the Editor—Recent technological developments, such as high-throughput imaging and
sequencing, enable experimentalists to collect increasingly large, complex, and …