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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 12 of 12  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
HIP 2018-10-22
14:05
Kyoto Kyoto Terrsa A study of functional role in the temporal pole based on a semantic memory learning model
Tatsuhiro Ideta, Takeshi Kohama (KU) HIP2018-57
In order to elucidate the pathophysiology of semantic dementia (SD), we developed a semantic-space learning model which ... [more] HIP2018-57
pp.5-8
MSS, CAS, IPSJ-AL [detail] 2016-11-24
13:25
Hyogo Kobe Institute of Computing Development and evaluation of on-the-fly model checking for a Petri net verification tool (HiPS)
Yojiro Harie, Katsumi Wasaki (Shinshu Univ.) CAS2016-63 MSS2016-43
This paper proposes an On-the-fly Fluent Linear Temporal Logic (FLTL) model checker using state space generation based o... [more] CAS2016-63 MSS2016-43
pp.31-35
CPSY, DC, IPSJ-ARC
(Joint) [detail]
2015-08-06
14:30
Oita B-Con Plaza (Beppu) Performance tuning methods for out-of-core stencil computations with flash SSDs
Hiroko Midorikawa, Hideyuki Tan (Seikei Univ.) CPSY2015-41
This report proposes several performance tuning methods to use flash SSDs as an extension to main memory. It also invest... [more] CPSY2015-41
pp.241-246
MBE, NC
(Joint)
2014-11-22
16:25
Miyagi Tohoku University A simulation study of a neural network model for detecting planar surface by motion stereo vision
Hisanao Akima (Tohoku Univ.), Susumu Kawakami, Koji Nakajima, Masao Sakuraba, Shigeo Sato (Tohoku Univ.) NC2014-43
The spatial perception, in which objects motion and positional relation are recognized, is necessary to realize such as ... [more] NC2014-43
pp.97-100
CPSY 2014-10-10
13:50
Chiba Meeting Room 303, International Conference Hall, Makuhari-Messe An Evaluation of Stencil Computation using Flash Storage with Asynchronous Block Device I/O
Hideyuki Tan, Hiroko Midorikawa (Seikei Univ./JST) CPSY2014-52
In order to execute stencil calculations of the large scale problems beyond physical memory, we evaluated three differen... [more] CPSY2014-52
pp.31-36
NC 2012-07-31
13:40
Shiga Ritsumeikan Univ. College of Information Science and Engineering Characteristics Prediction of Synaptic Modification in the Hippocampal CA1 Network by Mutual information maximization -- Reverse Replay and Temporally Structured Replay Cases --
Ryota Miyata (Tokyo Tech.), Keisuke Ota (RIKEN), Toru Aonishi (Tokyo Tech.) NC2012-30
It has been reported that reverse replay and temporally-structured replay of ensemble spiking patterns occur during both... [more] NC2012-30
pp.89-94
IPSJ-SLDM, VLD 2012-05-30
16:20
Fukuoka Kitakyushu International Conference Center [Invited Talk] How to Mitigate Reliability-related Issues on Nano-scaled LSIs
Kazutoshi Kobayashi (KIT) VLD2012-5
According to aggressive process scaling, reliability issues on
semiconductor devices are becoming dominant such as vari... [more]
VLD2012-5
pp.25-30
NC 2010-07-27
09:30
Kyoto Kyoto University Information retention capacity during delay period implicitly reflected in temporal correlations of spontaneous neuronal activity
Satoshi Nishida, Tomohiro Tanaka (Kyoto Univ.), Tomohiro Shibata, Kazushi Ikeda (NAIST), Tadashi Ogawa (Kyoto Univ.) NC2010-29
Most of cognitive neuroscience studies have focused not on the spontaneous neural activity but task-related activity. Ho... [more] NC2010-29
pp.1-6
NC 2009-10-23
16:25
Saga Saga University An Associative Memory with Online Learning and Temporal Memory
Wataru Kasai, Naoya Makibuchi, Osamu Hasegawa (Tokyo Inst. of Tech.) NC2009-41
In this paper, we propose new system to realize some useful functions needed for the associative memory. By building thr... [more] NC2009-41
pp.25-30
NC, MBE
(Joint)
2008-03-14
13:40
Tokyo Tamagawa Univ Temporal and Operant Learning Models by Neural System
Yukifumi Shigematsu (Ehime Univ.) NC2007-193
Brain or central nerve system is a kind of information processing system which is differ from artificial computer one. A... [more] NC2007-193
pp.479-484
PRMU, HIP 2007-02-22
09:30
Kanagawa   Visual and auditory association cortices in Superior Temporal Sulcus -- A study of brain structure for "categorizaztion" --
Hiroko Kosaki (NPB Tokyo Hospital)
Superior temporal sulcus (STS) is one of cortices for categorization. In monkey brain, upper bank of STS is auditory co... [more] PRMU2006-206 HIP2006-99
pp.1-4
ICM 2006-07-14
09:25
Akita Akita University Short-Memory Properties in Traffic Analysis
Marat Zhanikeev, Yoshiaki Tanaka (Waseda Univ.) TM2006-31
Self-similarity is a well-established distribution property attributed to traffic from most environments available in to... [more] TM2006-31
pp.59-64
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