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Latent Connection
 
LC
 
Learn
 
Learning
 
Learning Acquisition Time
 
Learning Algorithm
 
Learning Method
 
Learning Rate
 
Leibniz, Gottfried
 
Leonard Kaczmarek
 
Levitan, Irwin B.
 
Limbic System
 
Local Minima
 
Local Minimum
 
Loligo
 
Loligo Forbesi
 
Loligo Forbesii
 
Loligo Pealei
 
Long Term Depression
 
Long Term Potentiation
 
LTD
 
LTP
 
Lubbock, John
 



Unless otherwise indicated, all glossary content is:
(C) Copyright 2008-2014
Dominic John Repici
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Learning

 
Most generally, learning is the process of acquiring new memory.



. . . . . . .
In Biological Neural Networks


We are just beginning to understand some of the underlying biological mechanisms of learning. These include PTP, LTP, a silent-synapse concept has also been offered.

Various interactions between proteins and other factors seem to be responsible for a broad range of different memory effects. Each effect has it's own envelope of temporal characteristics, that include onset time, rise-time, and decay time. Many of these mechanisms have been discovered relatively recently, but general knowledge of them, along with an understanding of their diversity, has been forming for over three decades.



. . . . . . .
In Artificial Neural Networks


Learning, in artificial neural networks (ANNs), is (traditionally) the process of adjusting a set of weight values to bring a neuron's output response closer to a desired response for a given set of inputs. The weight values represent connection strengths between neurons.



. . . . . . .
Learning Is Ubiquitous


Learning seems to be always occurring. That is, it is a phenomenon which can be counted on to occur, like chemical interactions, or gravity.



. . . . . . .
Further Resources


Also: Memory     Catastrophic Forgetting     Multitemporal Synapses

 
 




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