<s>
The	O
neocognitron	B-Algorithm
is	O
a	O
hierarchical	O
,	O
multilayered	O
artificial	B-Architecture
neural	I-Architecture
network	I-Architecture
proposed	O
by	O
Kunihiko	O
Fukushima	O
in	O
1979	O
.	O
</s>
<s>
It	O
has	O
been	O
used	O
for	O
Japanese	O
handwritten	B-Application
character	I-Application
recognition	I-Application
and	O
other	O
pattern	O
recognition	O
tasks	O
,	O
and	O
served	O
as	O
the	O
inspiration	O
for	O
convolutional	B-Architecture
neural	I-Architecture
networks	I-Architecture
.	O
</s>
<s>
The	O
neocognitron	B-Algorithm
was	O
inspired	O
by	O
the	O
model	O
proposed	O
by	O
Hubel	O
&	O
Wiesel	O
in	O
1959	O
.	O
</s>
<s>
The	O
neocognitron	B-Algorithm
is	O
a	O
natural	O
extension	O
of	O
these	O
cascading	O
models	O
.	O
</s>
<s>
The	O
neocognitron	B-Algorithm
consists	O
of	O
multiple	O
types	O
of	O
cells	O
,	O
the	O
most	O
important	O
of	O
which	O
are	O
called	O
S-cells	O
and	O
C-cells	O
.	O
</s>
<s>
The	O
idea	O
of	O
local	O
feature	O
integration	O
is	O
found	O
in	O
several	O
other	O
models	O
,	O
such	O
as	O
the	O
Convolutional	B-Architecture
Neural	I-Architecture
Network	I-Architecture
model	O
,	O
the	O
SIFT	B-Algorithm
method	O
,	O
and	O
the	O
HoG	B-Algorithm
method	O
.	O
</s>
<s>
There	O
are	O
various	O
kinds	O
of	O
neocognitron	B-Algorithm
.	O
</s>
<s>
For	O
example	O
,	O
some	O
types	O
of	O
neocognitron	B-Algorithm
can	O
detect	O
multiple	O
patterns	O
in	O
the	O
same	O
input	O
by	O
using	O
backward	O
signals	O
to	O
achieve	O
selective	O
attention	O
.	O
</s>
