| HSAS | hydrocephalus due to stenosis of aqueduct of Sylvius; hypertrophic subaortic stenosis |
|---|---|
| PS | pacemaker syndrome; paired stimulation; paradoxical sleep; paraspinal; parasympathetic; Parkinson sy... |
| SAS | sarcoma amplified sequence; self-rating anxiety scale; short arm splint; Sklar Aphasia Scale; sleep ... |
| SVAS | supravalvular aortic stenosis; supraventricular aortic stenosis |
| ANN | artificial neural network |
| neural arch | The posterior projection from the body of a vertebra that encloses the vertebral foramen; it consists of paired pedicles and laminae; the spinous, transverse, and articular processes arise from the arch. In aggregate, the venous arches-and the ligamenta flava that unite them-form the posterior wall of the vertebral (spinal) canal. Synonym: arcus vertebrae, neural arch. (05 Mar 2000) |
|---|---|
| neural axis | The central nervous system; the brain and spinal cord. Synonym: encephalomyelonic axis, neural axis. (05 Mar 2000) |
| neural cell adhesion molecule | See: NCAM. (18 Nov 1997) |
| neural crest | A group of embryonic cells that separate from the neural plate during neurulation and migrate to give several different lineages of adult cells: the spinal and autonomic ganglia, the glial cells of the peripheral nervous system and nonneuronal cells, such as chromaffin cells, melanocytes and some haemopoietic cells. (18 Nov 1997) |
| neural crest syndrome | <syndrome> Syndrome consisting of loss of pain sensibility, autonomic dysfunction, pupillary abnormalities, neurogenic anhidrosis, vasomotor instability, aplasia of dental enamel, meningeal thickening, hyperflexion, and a degree of albinism; may reflect developmental abnormalities of the neural crest. (05 Mar 2000) |
| neural cyst | A circumscribed distention of some portion of the central canal of the spinal cord or of the cerebral ventricles. Synonym: neural cyst. (05 Mar 2000) |
| neural factor | A protein that can induce the formation of notochord tissue in embryos. (05 Mar 2000) |
| neural fold | A crease that forms in the neural plate during neurulation. (18 Nov 1997) |
| neural folds | The elevated margins of the neural groove. Synonym: medullary folds. (05 Mar 2000) |
| neural ganglion | 1. A knot or knotlike mass. 2. <anatomy> A general term for a group of nerve cell bodies located outside the central nervous system, occasionally applied to certain nuclear groups within the brain or spinal cord, for example basal ganglia. 3. <oncology, tumour> A benign cystic tumour occurring on a aponeurosis or tendon, as in the wrist or dorsum of the foot, it consists of a thin fibrous capsule enclosing a clear mucinous fluid. (18 Nov 1997) |
| neural groove | The gutter-like groove formed in the midline of the embryo's dorsal surface by the progressive elevation of the lateral margins of the neural plate; the ultimate dorsal fusion of the margins results in the formation of the neural tube. Synonym: medullary groove. (05 Mar 2000) |
| neural induction | In vertebrates the formation of the nervous system from the ectoderm of the early embryo as a result of a signal from the underlying mesoderm of the archenteron roof, also called primary neural induction. The mechanism of neural induction is not yet clear. (18 Nov 1997) |
| neural layer of optic retina | See: retina. (05 Mar 2000) |
| neural layer of retina | The internal layer of the retina containing the neural elements, as distinguished from the outer leaf of the retina, or pigmented layer. Synonym: pars optica retinae, neural layer of retina, optic part of retina, stratum cerebrale retinae. (05 Mar 2000) |
| neural networks | A computer architecture, implementable in either hardware or software, modeled after biological neural networks. Like the biological system in which the processing capability is a result of the interconnection strengths between arrays of nonlinear processing nodes, computerised neural networks, often called perceptrons or multilayer connectionist models, consist of neuron-like units. A homogeneous group of units makes up a layer. These networks are good at pattern recognition. They are adaptive, performing tasks by example, and thus are better for decision-making than are linear learning machines or cluster analysis. They do not require explicit programming. (04 Jul 1999) |