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As a result, much data are now available regarding the anatomy and physiology of many neural structures involved in such processes.
The representation of chosen value is found in many neural structures during choice, but its interpretation has remained unclear.
A number of investigators have examined the possible mechanisms by which needle acupuncture (NA) may produce physiological effects, with many neural structures being implicated including peripheral nerves, neurovascular bundles, mechanoreceptors, nerve endings and neuromuscular attachments.
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(315) It is therefore not surprising that man shares many of the neural structures responsible for emotional processes with evolutionarily older animals.
For instance, many studies have established that neural structures, including the parietal and prefrontal cortices, the supplementary motor area, the premotor and the primary motor cortices, the basal ganglia, the cerebellum, and for some motor tasks the spinal cord, are activated during both overt (executed) and covert (imagined) actions [1] [3].
There is a growing recognition in the literature that many aspects of neural structure and function are reflected not only in the mean signal, but also in the variability around that signal (McIntosh et al. 2008; Garrett et al. 2013).
The visual systems of vertebrates and many other bilaterian clades consist of complex neural structures guiding a wide spectrum of behaviors.
In the coupled nonlinear dynamical systems, many neural networks may experience abrupt changes in their structure and parameters caused by some phenomena such as component failures or repairs, changing subsystem interconnections, and abrupt environmental disturbances.
Since its original discovery in the rabbit hippocampus, LTP has been observed in a variety of other neural structures, including the cerebral cortex, cerebellum, amygdala, and many others.
Decreasing the over-stimulation of neural structures in the midbrain and forebrain has a tremendous beneficial impact on many conditions which are probably caused by over-stimulation of the midbrain.
Many neural networks of artificial or natural origin, including the brain net, have a ring structure [1].
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