Refereed full papers (journals, book chapters, international conferences)

1975

@article{Fuk1975,
	vgclass =	{refpap},
	vgproject =	{nn},
	author =	{Kunihiko Fukushima},
	title =	{{C}ognitron: A Self-organizing Multilayered Neural Network},
	journal =	{Biological Cybernetics},
	volume =	{20},
	pages =	{121--136},
	year =	{1975},
	abstract =	{A new hypothesis for the organization of synapses between
	neurons is proposed: ``The synapse from neuron $x$ to neuron $y$ is
	reinforced when $x$ fires provided that no neuron in the vicinity of
	$y$ is firing stronger than $y$''. By introducing this hypothesis, a
	new algorithm with which a multilayered neural network is effectively
	organised can be deduced. A self-organising  multilayered neural
	network, which is named ``cognitron'', is constructed following this
	algorithm, and is simulated on a digital computer. Unlike the
	organization of a usual brain models such as a three-layered
	perceptron, the self-organization of a cognitron progresses favourable
	without having a ``teacher'' which instructs in all particulars how the
	individual cells respond. After repetitive presentations of several
	stimulus patterns, the cognitron is self-organized in such a way that
	the receptive fields of the cells become relatively larger in a deeper
	layer. Each cell in the final layer integrates the information from
	whole parts of the first layer and selectively responds to a specific
	stimulus pattern or a feature.},
}