Long-Term Potentiation: Effects on Synaptic Coding
Learning, in the context of individual neurons, is represented in both physiological and Artificial Neural Network (ANN) models by change of synaptic strength. Many of the changes in neural responses as a result of the learning process may be explainable by simple consideration of synaptic strength alteration. For instance, sensitization and habituation of vertebrate and invertebrate neurons are usually interpreted in terms of incrementation and decrementation of synaptic strength . However, there are still many unexplained cases . In the mammalian hippocampus, neurons do not receive one stimulus, but a number of different stimuli from a variety of different locations. So simply looking at the increment and decrement of synaptic strength is insufficient to explain what has been modified by learning.
KeywordsBifurcation Diagram Neural Response Synaptic Strength Interspike Interval Inhibitory Synapse
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