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Tsukamoto, Mitsuaki
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1

Characterization of deep neural network features by decodab..:

Horikawa, Tomoyasu ; Aoki, Shuntaro C. ; Tsukamoto, Mitsuaki.
Scientific Data.  6 (2019)  1 - p. , 2019
Link: https://doi.org/10.1038/..
 
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2

BrainLiner: A Neuroinformatics Platform for Sharing Time-Al..:

Takemiya, Makoto ; Majima, Kei ; Tsukamoto, Mitsuaki.
Frontiers in Neuroinformatics.  10 (2016)  - p. , 2016
Link: https://doi.org/10.3389/..
 
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3

Thermodynamics of the quantum Ising model in the two-dimens..:

Chern, Chyh-Hong ; Tsukamoto, Mitsuaki
Physical Review B.  77 (2008)  17 - p. , 2008
Link: https://doi.org/10.1103/..
 
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4

Quantum Monte Carlo simulation for Heisenberg model with un..:

Tsukamoto, Mitsuaki ; Batista, Cristian ; Kawashima, Naoki
Journal of Magnetism and Magnetic Materials.  310 (2007)  2 - p. 1360-1361 , 2007
Link: https://doi.org/10.1016/..
 
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5

The BrainLiner Platform for Exploring Time-Aligned Neurophy..:

Makoto, Takemiya ; Kei, Majima ; Mitsuaki, Tsukamoto.
Frontiers in Neuroscience.  9 (2015)  - p. , 2015
Link: https://doi.org/10.3389/..
 
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6

The BrainLiner Platform for Sharing and Searching Time-Alig..:

Makoto, Takemiya ; Kei, Majima ; Mitsuaki, Tsukamoto.
Frontiers in Neuroinformatics.  8 (2014)  - p. , 2014
Link: https://doi.org/10.3389/..
 
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7

The BrainLiner Platform for Sharing, Searching, and Preview..:

Yukiyasu, Kamitani ; Mitsuaki, Tsukamoto ; Makoto, Takemiya
Frontiers in Neuroinformatics.  7 (2013)  - p. , 2013
Link: https://doi.org/10.3389/..
 
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8

Sound reconstruction from human brain activity via a genera..:

Park, Jong-Yun ; Tsukamoto, Mitsuaki ; Tanaka, Misato.
http://arxiv.org/abs/2306.11629.  , 2023
Link: http://arxiv.org/abs/230..
 
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9

Characterization of deep neural network features by decodab..:

Horikawa, Tomoyasu ; Aoki, Shuntaro C ; Tsukamoto, Mitsuaki.
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371890/.  , 2019
Link: http://www.ncbi.nlm.nih...
 
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10

Characterization of deep neural network features by decodab..:

Horikawa, Tomoyasu ; Aoki, Shuntaro C ; Tsukamoto, Mitsuaki.
10.1038/sdata.2019.12.  , 2019
Link: http://hdl.handle.net/24..
 
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11

Characterization of deep neural network features by decodab..:

Horikawa, Tomoyasu ; Aoki, Shuntaro ; Tsukamoto, Mitsuaki.
doi:10.6084/m9.figshare.6269321.v1.  , 2018
Link: https://zenodo.org/recor..
 
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12

Brainliner: A neuroinformatics platform for sharing time-al..:

Takemiya, Makoto ; Majima, Kei ; Tsukamoto, Mitsuaki.
10.3389/fninf.2016.00003.  , 2016
Link: http://hdl.handle.net/24..
 
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13

Study of Kosterlitz-Thouless transition of Bose systems gov..:

Kuroyanagi, Hiroki ; Tsukamoto, Mitsuaki ; Tsubota, Makoto
http://arxiv.org/abs/0909.3563.  , 2009
Link: http://arxiv.org/abs/090..
 
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14

Quantum Monte Carlo simulations for the Bose-Hubbard model ..:

Tsukamoto, Mitsuaki ; Tsubota, Makoto
http://arxiv.org/abs/0903.2537.  , 2009
Link: http://arxiv.org/abs/090..
 
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15

Spin Anisotropy in ZnCu_3(OH)_6Cl_2:

Chern, Chyh-Hong ; Tsukamoto, Mitsuaki
http://arxiv.org/abs/0710.1334.  , 2007
Link: http://arxiv.org/abs/071..
 
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