Title :
Learning parameters for molecular memory control
Author :
Trenary, Robert ; Moss, Philip
Author_Institution :
Dept. of Comput. Sci., Western Michigan Univ., Kalamazoo, MI, USA
Abstract :
A memory system which uses a molecular information processing primitive to control reference neurons is described. This system has been simulated in the context of an organism navigating in an environment. The system adapts to the environment by developing ensembles of neurons which coordinate sensory input and movement in the environment. The principal learning mechanism is based on synchronous activity of neurons. The frequency and duration of the different neural firings is critical for successful manipulation of memories developed in this system. Appropriate timing parameters for molecular processing based on the reference neuron are suggested
Keywords :
molecular biophysics; neurophysiology; control reference neurons; environmental movement; learning parameters; memory system; molecular memory control; molecular processing; neural firings; neuronal ensembles; reference neuron; sensory input; synchronous neural activity; timing parameters; Context modeling; Control systems; Frequency; Information processing; Learning systems; Navigation; Neurons; Organisms; Process control; Timing;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.96238