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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, MBE
(Joint)		 2011-03-07
18:05		 Tokyo Tamagawa University Abstract Category Learning
Atsushi Hashimoto, Haruo Hosoya (Tokyo Univ.) NC2010-158		 Motivated by a neurophysiological experiment on prefrontal cortex, we study a scheme for learning abstract categories.
... [more]		 NC2010-158
pp.183-188
NC, MBE
(Joint)		 2010-03-09
16:25		 Tokyo Tamagawa University Probabilistic Interpretation of Border-ownership Signals in Early Visual Cortex
Haruo Hosoya (Univ. of Tokyo.) NC2009-100		 Several recent model studies of visual cortex have used Bayesian
networks and their belief propagation algorithms, an... [more]		 NC2009-100
pp.71-76
NC, MBE
(Joint)		 2010-03-09
16:50		 Tokyo Tamagawa University Modeling recognition of three-dimensional features in cIPS cortex by NMF
Shota Nakamura, Haruo Hosoya (Univ. of Tokyo.) NC2009-101		  [more] NC2009-101
pp.77-82
NC, MBE
(Joint)		 2010-03-09
17:15		 Tokyo Tamagawa University Extraction of optical flow patterns in the MSTd area by non-negative matrix factorization
Yusuke Kishita, Haruo Hosoya (Univ. of Tokyo.) NC2009-102		 Cells in the area MT and MST are considered to analyze the visual movements of objects. A large number of cells in the a... [more] NC2009-102
pp.83-88
NC, MBE
(Joint)		 2010-03-11
10:40		 Tokyo Tamagawa University One Method of Sparse-coding Using BESOM
Yuuji Ichisugi (AIST), Haruo Hosoya (Univ. of Tokyo) NC2009-146		 BESOM model is a computational model of cerebral cortex
based on Bayesian network.
We introduced a mechanism of sparse... [more]		 NC2009-146
pp.345-350
NC, MBE
(Joint)		 2009-03-12
10:50		 Tokyo Tamagawa Univ. Harmonic relations in modulatory peaks of auditory neurons emerge from a frequency-domain sparse code of harmonic sounds
Hiroki Terashima, Haruo Hosoya (Univ. of Tokyo) NC2008-128		 Recent studies have shown that basic properties of auditory system can be accounted for by sparse coding or Independent ... [more] NC2008-128
pp.147-152
NC, MBE
(Joint)		 2008-03-12
13:50		 Tokyo Tamagawa Univ Learning and recognition of hierarchical temporal series based on BESOM model
Haruo Hosoya (U-Tokyo) NC2007-137		 A neural model for learning and recognizing hierarchical temporal
series is proposed as an extension of Ichisugi's BE... [more]		 NC2007-137
pp.151-156
 Results 1 - 7 of 7  /   
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