A simple linear neuron model with constrained
Hebbian-type synaptic modification is analyzed and a
new class of unconstrained learning rules is derived.
It is shown that the model neuron tends to extract the
principal component from a stationary input vector
sequence.
%0 Journal Article
%1 oja-simplified-neuron-model-1982
%A Oja, Erkki
%D 1982
%J Journal of Mathematical Biology
%K hebbian learning
%N 3
%P 267--273
%R 10.1007/BF00275687
%T Simplified neuron model as a principal component
analyzer
%U http://dx.doi.org/10.1007/BF00275687
%V 15
%X A simple linear neuron model with constrained
Hebbian-type synaptic modification is analyzed and a
new class of unconstrained learning rules is derived.
It is shown that the model neuron tends to extract the
principal component from a stationary input vector
sequence.
@article{oja-simplified-neuron-model-1982,
abstract = {A simple linear neuron model with constrained
Hebbian-type synaptic modification is analyzed and a
new class of unconstrained learning rules is derived.
It is shown that the model neuron tends to extract the
principal component from a stationary input vector
sequence.},
added-at = {2010-07-13T13:38:17.000+0200},
author = {Oja, Erkki},
biburl = {https://www.bibsonomy.org/bibtex/26f8bfecd14d964d63ce0064e73e49e94/mhwombat},
citeulike-article-id = {1222082},
citeulike-linkout-0 = {http://dx.doi.org/10.1007/BF00275687},
citeulike-linkout-1 = {http://linkinghub.elsevier.com/retrieve/pii/BF00275687},
citeulike-linkout-2 = {http://www.springerlink.com/content/u9u6120r003825u1},
day = 1,
doi = {10.1007/BF00275687},
file = {:/wombat/taighde/docs/neural_nets/Oja1982.pdf:PDF;:Oja1982.pdf:PDF},
groups = {public},
interhash = {2c3ab1164432ab677fe8dfa708fa6093},
intrahash = {6f8bfecd14d964d63ce0064e73e49e94},
issn = {0303-6812},
journal = {Journal of Mathematical Biology},
keywords = {hebbian learning},
month = nov,
number = 3,
pages = {267--273},
posted-at = {2010-06-24 05:17:07},
priority = {2},
timestamp = {2016-07-12T19:25:30.000+0200},
title = {Simplified neuron model as a principal component
analyzer},
url = {http://dx.doi.org/10.1007/BF00275687},
username = {mhwombat},
volume = 15,
year = 1982
}