The big data challenges of connectomics
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 …
neurons are interconnected to hundreds or even thousands of other cells in networks that …
[HTML][HTML] Saturated reconstruction of a volume of neocortex
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 …
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
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 …
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
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 …
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**
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 …
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
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 …
structures, most commonly recording the activity of multiple neurons in multiple animals …
Systematic errors in connectivity inferred from activity in strongly recurrent networks
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 …
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 …
crop pest. It damages host plants through both phloem feeding and vectoring plant …
Quantifying mesoscale neuroanatomy using X-ray microtomography
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 …
thinly slicing and staining the brain, followed by imaging numerous individual sections with …
A community-developed open-source computational ecosystem for big neuro data
To the Editor—Recent technological developments, such as high-throughput imaging and
sequencing, enable experimentalists to collect increasingly large, complex, and …
sequencing, enable experimentalists to collect increasingly large, complex, and …