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Each of these classical approaches has specific drawbacks when it comes to deployment for connectomics.
The study is part of an emerging area of neuroscience research known as 'connectomics'.
Seung frames the idea of connectomics and argues that "You are more than your genes."
Connectomics - mapping technique showing neural connections in a nervous system.
Dr Lichtman’s work is the most famous example of the emerging science of connectomics.
The connectogram, as a graphical representation of brain connectomics, was proposed in 2012.
Connectomics actually started before the word existed.
In the last three years, we’ve gotten connectomics, where people are taking a bit of tissue and mapping every connection in it.
This process has been a major contribution to the field of connectomics, or the study of neural connections in the brain.
The field, at a very nascent stage, is called connectomics, and the neuroscientists pursuing it compare their work to early efforts in genetics.
While the principal focus of such a project is the brain, any neural connections could theoretically be mapped by connectomics, including, for example, neuromuscular junctions.
Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology and environmental research.
Seung examines how connectomics may in the future help identify neurological problems before they become serious and inform development of drugs or gene therapies for connectopathies.
Connectomics - Jeff Lichtman hopes to elucidate brain development and disease with new technologies that illuminate the web of neural circuits.
Connectograms (circular diagrams of connectomics) have been used in traumatic brain injury cases to document the extent of damage to neural networks.
Connectograms are graphical representations of connectomics, the field of study dedicated to mapping and interpreting all of the white matter fiber connections in the human brain.
It introduces basic concepts in neuroscience and then elaborates on the field of connectomics, i.e., how to scan, decode, compare, and understand patterns in brain connectivity.
"Behind the Connectome Commotion; Exploring the current state of connectomics--in the midst of hype," Biomedical Computation Review.
Irimia and Van Horn (2012) have published connectograms which examine the correlative relationships between regions and uses the figures to compare the approaches of graph theory and connectomics.
Some have argued that analogies can be made between genomics and connectomics, and therefore we should be at least slightly more optimistic about the prospects in connectomics.
In the same vein as genomics, which maps out our genetic make-up, this new type of research is being labelled 'connectomics' as it aims to map out the brain's synapses.
With the recent concerted push to map all of the human brain and its connections, it has become increasingly important to find ways to graphically represent the large amounts of data involved in connectomics.
If it is - given the burden that an ageing population threatens to impose on many countries over the next few decades - connectomics will have proved its worth even before the big bucks turn up.
In his 2012 book Connectome: How the Brain's Wiring Makes Us Who We Are, Seung discusses his current views on neuroscience and the upcoming science of connectomics.
Substantial mainstream research in related areas is being conducted in animal brain mapping and simulation, development of faster super computers, virtual reality, brain-computer interfaces, connectomics and information extraction from dynamically functioning brains.