| D009415 |
Nerve Net |
A meshlike structure composed of interconnecting nerve cells that are separated at the synaptic junction or joined to one another by cytoplasmic processes. In invertebrates, for example, the nerve net allows nerve impulses to spread over a wide area of the net because synapses can pass information in any direction. |
Neural Networks (Anatomic),Nerve Nets,Net, Nerve,Nets, Nerve,Network, Neural (Anatomic),Networks, Neural (Anatomic),Neural Network (Anatomic) |
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| D011597 |
Psychomotor Performance |
The coordination of a sensory or ideational (cognitive) process and a motor activity. |
Perceptual Motor Performance,Sensory Motor Performance,Visual Motor Coordination,Coordination, Visual Motor,Coordinations, Visual Motor,Motor Coordination, Visual,Motor Coordinations, Visual,Motor Performance, Perceptual,Motor Performance, Sensory,Motor Performances, Perceptual,Motor Performances, Sensory,Perceptual Motor Performances,Performance, Perceptual Motor,Performance, Psychomotor,Performance, Sensory Motor,Performances, Perceptual Motor,Performances, Psychomotor,Performances, Sensory Motor,Psychomotor Performances,Sensory Motor Performances,Visual Motor Coordinations |
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| D002540 |
Cerebral Cortex |
The thin layer of GRAY MATTER on the surface of the CEREBRAL HEMISPHERES that develops from the TELENCEPHALON and folds into gyri and sulci. It reaches its highest development in humans and is responsible for intellectual faculties and higher mental functions. |
Allocortex,Archipallium,Cortex Cerebri,Cortical Plate,Paleocortex,Periallocortex,Allocortices,Archipalliums,Cerebral Cortices,Cortex Cerebrus,Cortex, Cerebral,Cortical Plates,Paleocortices,Periallocortices,Plate, Cortical |
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| D016571 |
Neural Networks, Computer |
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, computerized 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. |
Computational Neural Networks,Connectionist Models,Models, Neural Network,Neural Network Models,Neural Networks (Computer),Perceptrons,Computational Neural Network,Computer Neural Network,Computer Neural Networks,Connectionist Model,Model, Connectionist,Model, Neural Network,Models, Connectionist,Network Model, Neural,Network Models, Neural,Network, Computational Neural,Network, Computer Neural,Network, Neural (Computer),Networks, Computational Neural,Networks, Computer Neural,Networks, Neural (Computer),Neural Network (Computer),Neural Network Model,Neural Network, Computational,Neural Network, Computer,Neural Networks, Computational,Perceptron |
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| D018511 |
Systems Integration |
The procedures involved in combining separately developed modules, components, or subsystems so that they work together as a complete system. (From McGraw-Hill Dictionary of Scientific and Technical Terms, 4th ed) |
Integration, Systems,Integrations, Systems,Systems Integrations |
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