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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 41  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, MSS 2024-03-13
10:25
Misc. Kikai-Shinko-Kaikan Bldg. Analysis of periodic orbits in digital return maps based on feature quantities
Hosei Yamaguchi, Shinya Kujirai, Toshimichi Saito (HU) MSS2023-71 NLP2023-123
A digital map (Dmap) is digital dynamical system defined on a set of points. Depending on parameters, A digital map can ... [more] MSS2023-71 NLP2023-123
pp.5-8
NLP, MSS 2024-03-14
11:40
Misc. Kikai-Shinko-Kaikan Bldg. Stability and implementation of mixed rule cellular automata
Kazuma Matsushita, Toshimichi Saito (HU) MSS2023-90 NLP2023-142
This paper studies mixed-rule cellular automata (MCA) governed by two rules of simple Boolean functions.
Depending on t... [more]
MSS2023-90 NLP2023-142
pp.93-96
NC, MBE
(Joint)
2023-11-27
14:55
Osaka Kindai Univ.
(Primary: On-site, Secondary: Online)
On stability of periodic orbits in connection recombination cellular automata
Mikito Onuki, Taiji Okano, Toshimichi Saito (HU) NC2023-36
This paper studies connection recombination cellular automata constructed by applying global permutation connection to e... [more] NC2023-36
pp.14-15
NLP, CAS 2023-10-06
16:00
Gifu Work plaza Gifu Operaton analysis in sparse binary neural networks
Hiroki Nonaka, Toshimichi Saito (HU) CAS2023-45 NLP2023-44
This paper studies periodic orbits in a dynamic binary neural network constructed by the signum activation function and ... [more] CAS2023-45 NLP2023-44
pp.66-69
CCS, NLP 2023-06-09
10:45
Tokyo Tokyo City Univ. Analysis and synthesis of dynamic binary neural networks: a short review
Toshimichi Saito, Mikito Onuki (HU) NLP2023-20 CCS2023-8
Discrete-time recurrent neural networks are dynamical systems characterized by nonlinear activation functions and connec... [more] NLP2023-20 CCS2023-8
pp.31-34
NLP, MSS 2023-03-15
14:00
Nagasaki
(Primary: On-site, Secondary: Online)
On binary periodic orbits in sparse binary neural networks
Hiroki Nonaka, Toshimichi Saito (HU) MSS2022-71 NLP2022-116
This paper studies periodic orbits in a dynamic binary neural network constructed by the signum activation function and ... [more] MSS2022-71 NLP2022-116
pp.49-52
NLP 2022-11-25
10:35
Shiga
(Primary: On-site, Secondary: Online)
On various periodic orbits in coupled digital spike maps
Yuken Kijima, Toshimichi Saito (HU) NLP2022-71
A digital spike map (Dmap) is digital dynamical system defined on a set of points. Depending on parameters, the Dmap can... [more] NLP2022-71
pp.65-70
CCS 2022-11-17
13:25
Mie
(Primary: On-site, Secondary: Online)
Analysis of various periodic orbits in permutation binary neural networks
Mikito Onuki, Taiji Okano, Toshimichi Saito (HU) CCS2022-44
This paper studis a permutation binary neural network characterized by local binary connection, global permutation conne... [more] CCS2022-44
pp.5-8
NC, MBE
(Joint)
2022-09-30
09:40
Miyagi Tohoku Univ.
(Primary: On-site, Secondary: Online)
On optimization of periodic orbits in permutation binary neural networks
Kento Saka, Toshimichi Saito (HU) NC2022-38
This paper introduces a permutation binary neural network characterized by local binary connection and global permutatio... [more] NC2022-38
pp.24-27
CCS 2021-11-18
13:00
Osaka Osaka Univ.
(Primary: On-site, Secondary: Online)
Making Simple Music from Elementary Cellular Automata
Wataru Kojima, Toshimichi Saito (HU) CCS2021-18
Elementary cellular automata (ECAs) are simple digital dynamical systems in which time, space, and state are all discret... [more] CCS2021-18
pp.7-10
CCS 2021-11-18
13:25
Osaka Osaka Univ.
(Primary: On-site, Secondary: Online)
Basic dynamics analysis of coupled digital spike maps
Yuken Kijima, Toshimichi Saito (HU) CCS2021-19
The digital spike maps (Dmaps) are digital dynamical systems defined on a set of points and exhibit periodic orbits.
Th... [more]
CCS2021-19
pp.11-15
CCS 2020-11-26
15:00
Online Online Analysis and learning of digital spike maps
Yuya Sawano, Toshimichi Saito (HU) CCS2020-17
A digital spike map is a simple digital dynamical system defined on a set of points.
Depending on parameters and initi... [more]
CCS2020-17
pp.1-5
MBE, NC, NLP, CAS
(Joint) [detail]
2020-10-30
09:00
Online Online Analysis of digital logistic maps based on simple feature quantities
Yuken Kijima, Yuya Sawano, Toshimichi Saito (HU) CAS2020-11 NLP2020-32
Discretize the logistic map on a set of points, we obtain the digital logistic map (DLM). The DLM
cannot generate chaos... [more]
CAS2020-11 NLP2020-32
pp.1-4
NLP, CAS 2019-10-22
16:45
Gifu Gifu Univ. On transition from periodic orbits to fixed points in simple neural networks
Yuki Kawamura, Toshimichi Saito (HU) CAS2019-37 NLP2019-77
A dynamic binary neural network is a recurrent-type neural network
characterized by cross-connection parameters and sig... [more]
CAS2019-37 NLP2019-77
pp.71-75
MBE, NC 2019-10-12
10:00
Miyagi   Stability of Periodic Orbits in 3-Layer Dynamic Binary Neural Networks
Seitaro Koyama, Toshimichi Saito (HU) MBE2019-39 NC2019-30
The 3-layer dynamic binary neural networks (3-DBNNs) are characterized by ternary connection parameters and signum activ... [more] MBE2019-39 NC2019-30
p.51
MBE, NC 2019-10-12
11:20
Miyagi   Composition of the digital spike maps based on SOM
Yuya Sawano, Toshimichi Saito (HU) MBE2019-42 NC2019-33
A digital spike map (Dmap) is a simple digital dynamical system defined on a set of points. The
steady state of the Dma... [more]
MBE2019-42 NC2019-33
p.65
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-17
13:25
Okinawa Okinawa Institute of Science and Technology Analysis of periodic orbits in digital maps by a self-organizaition synthesis method
Yuya Sawano, Toshimichi Saito (HU) NC2019-2
Self-organizing learning of digital map is considered in this paper.
The digital map is a simple digital dynamical sys... [more]
NC2019-2
pp.3-7
MBE, NC
(Joint)
2018-05-19
15:20
Toyama Univ. of Toyama On Stability of Sparse Binary Neural Networks
Seitaro Koyama, Shunsuke Aoki, Toshimichi Saito (HU) NC2018-3
The dynamic binary neural network is characterized by ternary connection parameters and the signum activaion function.
... [more]
NC2018-3
pp.9-13
MBE, NC, NLP
(Joint)
2018-01-27
11:20
Fukuoka Kyushu Institute of Technology Stability and periodic orbits in dynamic binary neural newtorks
Seitaro Koyama, Shunsuke Aoki, Toshimichi Saito (HU) NLP2017-97
The dynamic binary neural network is characterized by the signum activation function and ternary connection parameters. ... [more] NLP2017-97
pp.59-62
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] 2017-06-24
09:55
Okinawa Okinawa Institute of Science and Technology Stability of fixed points and periodic orbits in dynamic binary neural networks
Seitaro Koyama, Shunsuke Aoki, Toshimichi Saito (Hosei Univ.) NC2017-14
The dynamic neural networks are characterized by the signum activation function and ternary connection parameters.
Depe... [more]
NC2017-14
pp.99-103
 Results 1 - 20 of 41  /  [Next]  
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