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Learning neuron model based on non-associative learning mechanism
BI Song, DIAO Qi, CHAI Xiaofeng, HAN Cunwu
Journal of Computer Applications    2017, 37 (8): 2229-2233.   DOI: 10.11772/j.issn.1001-9081.2017.08.2229
Abstract703)      PDF (810KB)(525)       Save
Biological neurons have non-associative learning mechanisms, and a novel learning neuron with non-associative learning mechanisms was designed, namely learning neuron. Firstly, the simplified description of the habituation learning mechanism and the dishabituation learning mechanism were researched in the non-associative learning mechanisms. Secondly, the mathematical models of habituation and dishabituation learning mechanisms were established. Finally, based on the classical M-P (McCulloch-Pitts) neuron model, the learning neuron model with the ability of habituation and dishabituation learning was proposed. The simulation results verify that the proposed learning neuron has typical habituation and dishabituation learning ability, and provides a good foundation for the construction of new neural network.
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