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This is the first demonstration of neural correlates of nest-building behavior in the anterior motor pathway and dopaminergic reward circuit.
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Now a team of English researchers, using a sophisticated brain scanning technique called functional M.R.I., has provided a vivid demonstration of the neural processes at work in a simple Pavlovian conditioning experiment.
In addition, this is the first demonstration of functional neural cell types derived from canine fetal brains, a potential resource for future studies on canine CNS disease physiology.
In addition, B10 cells were found to differentiate into neural cell types as shown by immunocytochical demonstration of nestin (for neural stem cells), neurofilament protein and β-tubulin III (neurons) GFAP (astrocytes), and galactocerebroside (oligodendrocytes).
These findings are the first demonstration of the behavioral and neural enhancing effects of TMS on slow motor practice and have direct application in neurorehabilitation where TMS could be applied in conjunction with physical therapy.
This initial demonstration of using AuNPs for neural interfaces showed improvements in the signal-to-noise ratio, long-term recording, and delivery of a higher charge per area of electrode to the surrounding tissue.
The occasional demonstration of circulating antibodies against neural tissue supports this hypothesis.
The question of novelty: As was pointed out this is not the first demonstration of light-evoked activation or silencing of neural activity, so in that regard we have only successfully replicated others.
It's a demonstration of the world's smallest neural net in action.
Based on the recent demonstration of the involvement of vasotinergic neural circuitry in female zebra finch nesting behavior [16] and that nest box possession in starlings increases Fos expression in the social behavior network [17], we predicted that Fos immunoreactivity specifically in BSTmd, BSTmv, AH, POM, and VMH would be higher in nesting birds relative to control birds.
The work is yet another demonstration of the way intelligent machines, and neural networks in particular, are beginning to outperform humans in an increasingly wide variety of tasks.
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