“Autonomy” and “Dominance” in Neural Systems: Two Examples of Dynamic Properties Defined on Finite State Models
During the past twenty years, microelectrode measurements have generated a complex picture of the individual neuron. The neuron is seen to have marked inertial properties; it is not a massless shuttlecock driven from state to state by the blows of input signals. Rather its behavior is a resultant of impinging external forces and ongoing internal processes which reveal themselves in phenomena such as facilitation, adaptation, rebound and “spontaneous” activity.
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