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Decoding neural algorithms is one of the major goals of neuroscience. It is generally accepted that brain computations rely on the orchestration of neural activity at local scales, as well as across the brain through long‐range connections. Understanding the relationship between brain activity and connectivity is therefore a prerequisite to cracking ...
Jbabdi, S, Behrens, T
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Cellular connectomes as arbiters of local circuit models in the cerebral cortex
Large-scale connectomes from the mammalian brain are becoming available, but it remains unclear how informative these are for the distinction of circuit models.
Emmanuel Klinger +4 more
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Cartography and Connectomes [PDF]
The past 25 years have seen great progress in parcellating the cerebral cortex into a mosaic of many distinct areas in mice, monkeys, and humans. Quantitative studies of interareal connectivity have revealed unexpectedly many pathways and a wide range of connection strengths in mouse and macaque cortex. In humans, advances in analyzing "structural" and
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FusionNet: A Deep Fully Residual Convolutional Neural Network for Image Segmentation in Connectomics
Cellular-resolution connectomics is an ambitious research direction with the goal of generating comprehensive brain connectivity maps using high-throughput, nano-scale electron microscopy. One of the main challenges in connectomics research is developing
Tran Minh Quan +2 more
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Connectomics allows mapping of cells and their circuits at the nanometer scale in volumes of about 1 mm3. Given that the human cerebral cortex can be 3 mm in thickness, larger volumes are required. Larger volume circuit reconstructions of human brain are
N. Karlupia +7 more
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Improving a genetically encoded voltage indicator by modifying the cytoplasmic charge composition
An improved genetically encoded voltage indicator (GEVI) was achieved by altering the charge composition of the region linking the voltage-sensing domain of the GEVI to a pH-sensitive fluorescent protein.
Sungmoo Lee +5 more
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Brain computer interfaces (BCI) provide unprecedented spatiotemporal precision that will enable significant expansion in how numerous brain disorders are treated.
T. Merk +27 more
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Robust Nucleus Detection With Partially Labeled Exemplars
Quantitative analysis of cell nuclei in microscopic images is an essential yet challenging source of biological and pathological information. The major challenge is accurate detection and segmentation of densely packed nuclei in images acquired under a ...
Linqing Feng +5 more
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Connectomics is an important field of neuroscience that examines how neurons are connected and form functional circuits that underly the brain's functions. Conventional tracers based on dye have led to great advances in mapping these connections, and now,
João Guilherme Tassoni Bortoloci +1 more
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Connectional maps of the brain may have value in developing models of both how the brain works and how it fails when subsets of neurons or synapses are missing or misconnected. Such maps might also provide detailed information about how brain circuits develop and age. I am eager to obtain such maps in neonatal animals because of a longstanding interest
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