TY  - JOUR
A1  - Sato, Yasuomi D.
A1  - Jitsev, Evgueni
A1  - Wolfrum, Philipp
A1  - Malsburg, Christoph von der
T1  - A correspondence-based neural mechanism for position invariant feature processing
T2  - BMC neuroscience 2009, 10(Suppl 1):P366
N2  - Poster presentation: Introduction We here focus on constructing a hierarchical neural system for position-invariant recognition, which is one of the most fundamental invariant recognition achieved in visual processing [1,2]. The invariant recognition have been hypothesized to be done by matching a sensory image of a particular object stimulated on the retina to the most suitable representation stored in memory of the higher visual cortical area. Here arises a general problem: In such a visual processing, the position of the object image on the retina must be initially uncertain. Furthermore, the retinal activities possessing sensory information are being far from the ones in the higher area with a loss of the sensory object information. Nevertheless, with such recognition ambiguity, the particular object can effortlessly and easily be recognized. Our aim in this work is an attempt to resolve such a general recognition problem. ...
Y1  - 2009
UR  - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/7069
UR  - https://nbn-resolving.org/urn:nbn:de:hebis:30-70807
N1  - © 2009 Sato et al; licensee BioMed Central Ltd.
VL  - 10(Suppl 1)
IS  - P366
ER  -