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Learn
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Learning
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Learning Acquisition Time
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Learning Algorithm
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Leibniz, Gottfried
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Leonard Kaczmarek
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Levitan, Irwin B.
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Liar's Paradox
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Loligo
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Loligo Pealei
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Long Term Depression
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Long Term Potentiation
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LTD
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LTM
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LTP
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Lubbock, John




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(C) Copyright 2008-2022
Dominic John Repici
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Learning

 
Most generally, learning is the process of acquiring new memory. In sentient beings the acquisition of memory may occur in a variety of ways, for example, through the process of experience. The process of learning seems to include, as a component, behavior (i.e., motion, or activity).



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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.



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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.



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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. While it is just speculation, it seems to have a functional and structural characteristic of many small, relatively fast events contributing slowly to learning (e.g., an explanatory metaphor)



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Further Resources


Also: Memory     Catastrophic Forgetting     Multitemporal Synapses

 
 


































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