reciprocal innervation

There he continued his work on reflexes and reciprocal innervation.

Sherrington continued his work on reciprocal innervation during his years at Liverpool.

Sherrington's work on reciprocal innervation was a notable contribution to the knowledge of the spinal cord.

The law of reciprocal innervation.

This reciprocal innervation occurs so that the contraction of a muscle results in the simultaneous relaxation of its corresponding antagonist.

Sherrington's law of reciprocal innervation states that: When a muscle contracts, its direct antagonist relaxes to an equal extent allowing smooth movement.

Sir Charles Sherrington conceptualized the principle of reciprocal innervation circa 1904 and demonstrated it circa 1913.

Sherrington received the prize for showing that reflexes require integrated activation and demonstrated reciprocal innervation of muscles (Sherrington's Law).

Relatively simple neuronal ensembles operate in the spinal cord where they control basic automatisms such as monosynaptic tendon reflex and reciprocal innervation of muscles.

Reciprocal innervation describes skeletal muscles as existing in antagonistic pairs, with contraction of one muscle producing forces opposite to those generated by contraction of the other.

EMG (Electromyographic) studies by S. Blackburn and others have validated Sherrington's principle of reciprocal innervation.

Sherrington's law of reciprocal innervation, also called Sherrington's law II explains how a muscle will relax when its opposite muscle (e.g., biceps/triceps) is activated.

Audiovisual electromyography by Peters and Peters supports Sherrington's principle of reciprocal innervation (inhibition) and his description of the reaction of 'muscle spindles' to force.

Some of these send motor impulses to the flexors to allow withdrawal; some motor neurons send inhibitory impulses to the extensors so flexion is not inhibited - this is referred to as reciprocal innervation.

The LGN is not just a simple relay station but it is also a center for processing; it receives reciprocal input from the cortical and subcortical layers and reciprocal innervation from the visual cortex.

The significance of Descartes' Law of Reciprocal Innervation has been additionally highlighted by recent research and applications of bioengineering concepts, such as optimal control and quantitative models of the motor impulses sent by the brain to control eye motion.