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The architectural balance of the Ventral Nerve Cord depends
The architectural balance of the Ventral Nerve Cord depends

... The level of JNK activity in specific puc-positive neurons determines the architectural balance of the VNC The reduced architectural robustness of the VNC observed in puc could be the result of autonomous malfunction of the JNK pathway in the CNS, or just a structural consequence of the general disr ...
doc PHGY311
doc PHGY311

... release neuropeptides involved in the control of anterior pituitary function. In addition, the median eminence is traversed by the axons of hypothalamic neurons ending in the posterior pituitary. The median eminence funnels down to form the infundibular portion of the neurohypophysis (also called th ...
Subcortical loops through the basal ganglia
Subcortical loops through the basal ganglia

... contact with hindbrain premotor nuclei responsible for directing the animal towards or away from salient cues [32–35]. Deep-layer neurons are responsive to unisensory and multisensory stimuli [35] and exhibit bursts of activity tightly coupled to stimulus onset, to the initiation of a motor response ...
Essentials of Human Anatomy and Physiology, 11e
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download file

... stimulation with spectro-temporally complex sounds such as FM sweeps in different conditions varying the pattern of activation and the acoustic background. In addition I evaluated how changes in receptive field structure and temporal fidelity can arise from shortterm experience with these sounds ba ...
VIP in Neurological Diseases: More Than A Neuropeptide
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Examination of Rhythmicity of Extracellularly Recorded Neurons in the Entorhinal Cortex
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View PDF - MRC Brain Network Dynamics Unit

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... and how the brain processes them. For instance, neural responses in the visual (Ohzawa et al., 1982), auditory (Ulanovsky et al., 2003), somatosensory (Simons, 1978), and olfactory (Wilson, 1998) cortices rapidly diminish to repeated presentations of the same stimulus. Such sensory adaptation is con ...
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Layer II/III of the Prefrontal Cortex: Inhibition by the Serotonin

... al., 2002) during the early postnatal period is sufficient to produce an anxiety-like phenotype in adulthood. Despite the strong association between prefrontal 5-HT1A receptors and adult psychopathology, it has yet to be established whether the 5-HT1A receptor modulates the prefrontal cortex during ...
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PDF reprint - UC Davis Mathematics

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This article was originally published in the

... shifted contralaterally, whereas blood flow to ACC increases in a nonselective fashion. Cingulate cortex is unique among attentional control areas by virtue of its strong connections to limbic regions, which are thought to be important for reward processing. These connections may serve as a gateway ...
The Orbitofrontal Cortex and Reward
The Orbitofrontal Cortex and Reward

... of stimulus–reinforcement (e.g. stimulus–reward) association learning. An Olfactory Representation in the Orbitofrontal Cortex Takagi, Tanabe and colleagues (Takagi, 1991) described single neurons in the macaque orbitofrontal cortex that were activated by odors. A ventral frontal region has been im ...
L-Dopa and Brain Serotonin System Dysfunction
L-Dopa and Brain Serotonin System Dysfunction

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Nervous system network models

Network of human nervous system comprises nodes (for example, neurons) that are connected by links (for example, synapses). The connectivity may be viewed anatomically, functionally, or electrophysiologically. These are presented in several Wikipedia articles that include Connectionism (a.k.a. Parallel Distributed Processing (PDP)), Biological neural network, Artificial neural network (a.k.a. Neural network), Computational neuroscience, as well as in several books by Ascoli, G. A. (2002), Sterratt, D., Graham, B., Gillies, A., & Willshaw, D. (2011), Gerstner, W., & Kistler, W. (2002), and Rumelhart, J. L., McClelland, J. L., and PDP Research Group (1986) among others. The focus of this article is a comprehensive view of modeling a neural network (technically neuronal network based on neuron model). Once an approach based on the perspective and connectivity is chosen, the models are developed at microscopic (ion and neuron), mesoscopic (functional or population), or macroscopic (system) levels. Computational modeling refers to models that are developed using computing tools.
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