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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 44  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
EMM 2024-03-02
16:20
Overseas Day1:JEJU TECHNOPARK, Day2:JEJU Business Agency [Fellow Memorial Lecture] Application of associative memory models to watermarking models
Masaki Kawamura (Yamaguchi Univ.) EMM2023-93
We proposed a new method called the associative watermarking method, which is an extension of the zero-watermarking meth... [more] EMM2023-93
pp.23-27
EMM 2022-01-27
13:50
Online Online Introduction of auto-associative memory model to zero-watermarking method using hetero-associative memory model
Ryoto Kanegae, Masaki Kawamura (Yamaguchi Univ) EMM2021-86
We propose a method that introduces an auto-associative memory model to Shimana and Kawamura's method that utilizes a he... [more] EMM2021-86
pp.13-18
EMM 2020-03-05
16:45
Okinawa
(Cancelled but technical report was issued)
[Poster Presentation] Investigation of associative memory models for improving error correcting capability in digital watermarking scheme
Kazuma Fukata, Masaki Kawamura (Yamaguchi Univ.) EMM2019-118
We propose an error correcting method using associative memory models, which can correct the errors of watermarks. The a... [more] EMM2019-118
pp.85-90
EMM 2019-03-13
15:15
Okinawa TBD [Poster Presentation] Relationship between error correcting capability for error correction codes and basin of attraction in associative memory models
Akinobu Oshikawa, Masaki Kawamura (Yamaguchi Univ.) EMM2018-101
We proposed a digital watermarking method using an auto-associative memory model (AMM), which can correct errors of wate... [more] EMM2018-101
pp.51-56
NC, MBE
(Joint)
2019-03-05
16:40
Tokyo University of Electro Communications Functional verification of human inference system based on a value driven associative memory
Masahiro Miyata, Takashi Omori (Tamagawa Univ) NC2018-73
Humans use two types of inferences: intuitive and logical. However, they are studied separately. A site for logical infe... [more] NC2018-73
pp.157-162
EMM 2019-01-11
11:00
Miyagi Tohoku Univ. Proposal of multiple Zero-Watermarking method using hetero-associative memory model
Yuki Shimana, Masaki Kawamura (Yamaguchi Univ.) EMM2018-88
Zero-watermarking method is a watermarking method which do not embed a watermark into an image. Thus, the quality of the... [more] EMM2018-88
pp.33-37
MBE, NC
(Joint)
2018-11-22
14:55
Kyoto   Analysis of the recalling process of associative memory model with astrocyte function
Masaru Kondo, Yoshimasa Tawatsuji, Tatsunori Matsui (Waseda Univ.) NC2018-26
While it may take some time for humans to recall specific memories, the associative memory model constructed by intercon... [more] NC2018-26
pp.17-21
MRIS, ITE-MMS 2017-10-19
13:45
Niigata Kashiwazaki energy hall, Niigata [Invited Talk] Analog spintronics devices and its application to artificial neural networks
Hisanao Akima, William Borders, Shunsuke Fukami, Satoshi Moriya, Shouta Kurihara, Aleksandr Kurenkov, Yoshihiko Horio, Shigeo Sato, Hideo Ohno (Tohoku Univ.) MR2017-18
Developing dedicated integrated circuits operating with low power consumption is indispensable to realize a large scale ... [more] MR2017-18
pp.7-12
MBE, NC
(Joint)
2016-03-22
17:00
Tokyo Tamagawa University [Invited Talk] From associative memory model to sparse modeling and brain-like artificial intelligence
Masato Okada (UTokyo) NC2015-79
In this talk, I first introduce statistical-mechanical informatics. In my opinion, statistical-mechanical informatics ha... [more] NC2015-79
p.57
MBE, NC
(Joint)
2015-12-19
14:50
Aichi Nagoya Institute of Technology An Associative Memory Model with Forgetting Process by Eliminating Weak Synapses
Takuya Akamine, Koji Kurata (Univ Ryukyu) NC2015-50
In associative memory models overloading beyond the memory capacity causes catastrophic forgetting. In order to avoid it... [more] NC2015-50
pp.25-30
AI 2014-11-27
13:00
Fukuoka   A context-dependent meaning-understanding model based on the neuroscientific facts -- Development and application of a content-addressable memory system equipped with the analog-digital element as a processor(neuron) and with the memory element(synapse) in the communication path between processors --
Miyuki Seino (Seino Information System) AI2014-16
In order to model the memory system in neocortical association area, it will be clarified that the system learns and mem... [more] AI2014-16
pp.1-6
NLP 2014-06-30
16:25
Miyagi Tohoku Univ. Study on the hardware of the Bidirectional Associative Memories by using the Inverse Function Delayless model
Chunyu Bao, Takeshi Onomi, Yoshihiro Hayakawa, Shigeo Sato, Koji Nakajima (Tohoku Univ.) NLP2014-26
In conventional macro models such as the Hopfield model, the problems that are caused by the solution of the network not... [more] NLP2014-26
pp.31-36
NLP 2014-01-22
10:20
Hokkaido Niseko Park Hotel Studies on the hardware of neural associative memory with a broad basin
Jiang Jing (Tohoku Univ), Yoshihiro Hayakawa (Sendai NT), Shigeo Sato, Koji Nakajima (Tohoku Univ) NLP2013-147
Abstract Because associative operation of the Hopfield neural network model are trapped in spurious memory, the associat... [more] NLP2013-147
pp.99-102
NC, MBE
(Joint)
2013-11-22
14:15
Miyagi Tohoku University Verification of Effectiveness of the Probabilistic Algorithm for Latent Structure Extraction Using Associative Memory Model
Kensuke Wakasugi (Univ. Tokyo), Tatsu Kuwatani (Tohoku Univ.), Kenji Nagata (Univ. Tokyo), Hideki Asoh (AIST), Masato Okada (Univ. Tokyo/RIKEN) NC2013-49
There are many analysis methods for high-dimensional data, but, in many cases, analysis is done under assumption that a ... [more] NC2013-49
pp.17-22
NC, MBE
(Joint)
2013-07-19
09:55
Tokushima The University of Tokushima A neuroscientific explanation of the object recognition mechanism for the context dependent understanding a meaning accompanied by qualia -- A model of sensory association and language(Wernicke's) area in the neocortex consisted of the functional columns with distributed structure --
Miyuki Seino (Seino Information System) NC2013-16
In the model, each object of recognition corresponds to the each of functional columns of the hundreds of thousands maki... [more] NC2013-16
pp.7-12
NC, IPSJ-BIO 2013-06-28
10:30
Okinawa Okinawa Institute of Science and Technology Optimal pairs of coupling function and STDP window function for auto-associative memory
Ryota Miyata, Keita Sato, Toru Aonishi (Tokyo Inst. of Tech.) NC2013-6
From the computational viewpoint, Lengyel et al. (2005) derived an optimal auto-associative memory algorithm to store an... [more] NC2013-6
pp.101-106
NC, MBE
(Joint)
2012-12-12
11:05
Aichi Toyohashi University of Technology Instabilities of spurious state with synaptic depression
Shin Murata, Yosuke Otsubo, Kenji Nagata (Univ. of Tokyo), Masato Okada (Univ. of Tokyo/BSI RIKEN) NC2012-79
The associative memory model is one of typical neural network model and has equilibrium state called spurious state in w... [more] NC2012-79
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
NC, IPSJ-BIO 2012-06-28
14:15
Okinawa OIST, Okinawa Characteristics Prediction of Synaptic Modification in the Hippocampal CA1 Network by Mutual information maximization
Ryota Miyata (Tokyo Tech.), Keisuke Ota (RIKEN), Toru Aonishi (Tokyo Tech.) NC2012-10
We employ a top-down approach to finding optimal neural implementations for executing a computation of the hippocampal C... [more] NC2012-10
pp.53-58
MBE, NC
(Joint)
2012-03-14
16:50
Tokyo Tamagawa University Bayesian Network Associative Memories
Hiroaki Hasegawa, Masafumi Hagiwara (Keio Univ.) NC2011-146
In this paper, we propose Bayesian Network Associative Memories (BNAMs) for modeling associative memories with Bayesian ... [more] NC2011-146
pp.147-152
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