Results 31 to 40 of about 9,228 (224)

Higher-order connectomics of human brain function reveals local topological signatures of task decoding, individual identification, and behavior

open access: yesbioRxiv, 2023
Traditional models of human brain activity often represent it as a network of pairwise interactions between brain regions. Going beyond this limitation, recent approaches have been proposed to infer higher-order interactions from temporal brain signals ...
Andrea Santoro   +4 more
semanticscholar   +1 more source

The topographic connectome [PDF]

open access: yesCurrent Opinion in Neurobiology, 2013
Central to macro-connectomics and much of systems neuroscience is the idea that we can summarise macroscopic brain connectivity using a network of 'nodes' and 'edges'--functionally distinct brain regions and the connections between them. This is an approach that allows a deep understanding of brain dynamics and how they relate to brain circuitry.
Jbabdi, S, Sotiropoulos, SN, Behrens, T
openaire   +5 more sources

Editorial: New Trends in Connectomics [PDF]

open access: yesNetwork Neuroscience, 2018
Connectomics is an integral part of network neuroscience. The field has undergone rapid expansion over recent years and increasingly involves a blend of experimental and computational approaches to brain connectivity. This Focus Feature on “New Trends in
Olaf Sporns, Danielle S. Bassett
doaj   +1 more source

Micro-drive and headgear for chronic implant and recovery of optoelectronic probes

open access: yesScientific Reports, 2017
Silicon probes are multisite electrodes used for the electrophysiological recording of large neuronal ensembles. Optoelectronic probes (OEPs) are recent upgrades that allow, in parallel, the delivery of local optical stimuli.
Jinho Chung   +4 more
doaj   +1 more source

Sequencing the Connectome

open access: yesPLoS Biology, 2012
Connectivity determines the function of neural circuits. Historically, circuit mapping has usually been viewed as a problem of microscopy, but no current method can achieve high-throughput mapping of entire circuits with single neuron precision. Here we describe a novel approach to determining connectivity.
Anthony M Zador   +5 more
openaire   +4 more sources

A dimeric fluorescent protein yields a bright, red-shifted GEVI capable of population signals in brain slice

open access: yesScientific Reports, 2018
A bright, red-shifted Genetically Encoded Voltage Indicator (GEVI) was developed using a modified version of the fluorescent protein, tdTomato. Dimerization of the fluorescent domain for ArcLight-type GEVIs has been shown to affect the signal size of the
Bumjun Yi   +4 more
doaj   +1 more source

SynEM, automated synapse detection for connectomics

open access: yeseLife, 2017
Nerve tissue contains a high density of chemical synapses, about 1 per µm3 in the mammalian cerebral cortex. Thus, even for small blocks of nerve tissue, dense connectomic mapping requires the identification of millions to billions of synapses. While the
Benedikt Staffler   +5 more
doaj   +1 more source

Mesoscale connectomics [PDF]

open access: yesCurrent Opinion in Neurobiology, 2018
Brain cells communicate with one another via local and long-range synaptic connections. Structural connectivity is the foundation for neural function. Brain-wide connectivity can be described at macroscopic, mesoscopic and microscopic levels. The mesoscale connectome represents connections between neuronal types across different brain regions. Building
openaire   +2 more sources

Anatomical variability, multi-modal coordinate systems, and precision targeting in the marmoset brain

open access: yesNeuroImage, 2022
Localising accurate brain regions needs careful evaluation in each experimental species due to their individual variability. However, the function and connectivity of brain areas is commonly studied using a single-subject cranial landmark-based ...
Takayuki Ose   +16 more
doaj   +1 more source

Multiscale comparative connectomics. [PDF]

open access: yesImaging Neurosci (Camb)
Abstract The connectome, a map of the structural and/or functional connections in the brain, provides a complex representation of the neurobiological phenotypes on which it supervenes. This information-rich data modality has the potential to transform our understanding of the relationship between patterns in brain connectivity and ...
Gopalakrishnan V   +10 more
europepmc   +5 more sources

Home - About - Disclaimer - Privacy