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Frontiers in Neuroscience
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December 13, 2021
Vector Auto-Regressive Deep Neural Network: A Data-Driven Deep Learning-Based Directed Functional Connectivity Estimation Toolbox
Takuto Okuno, Alexander Woodward
Neural Networks : the Official Journal of the International Neural Network Society
|
September 27, 2014
Neural coordination can be enhanced by occasional interruption of normal firing patterns: a self-optimizing spiking neural network model
Alexander Woodward, Tom Froese, Takashi Ikegami
Frontiers in Neuroimaging
|
January 24, 2024
A reappraisal of the default mode and frontoparietal networks in the common marmoset brain
Takuto Okuno, Noritaka Ichinohe, Alexander Woodward
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|
September 19, 2024
A Novel Directed Seed-Based Connectivity Analysis Toolbox Applied to Human and Marmoset Resting-State FMRI
Takuto Okuno, Junichi Hata, Chino Kawai, et al.
Neuroimage
|
August 17, 2023
Group Surrogate Data Generating Models and similarity quantification of multivariate time-series: A resting-state fMRI study
Takuto Okuno, Junichi Hata, Yawara Haga, et al.
Scientific Data
|
February 14, 2018
The Brain/MINDS 3D digital marmoset brain atlas
Alexander Woodward, Tsutomu Hashikawa, Masahide Maeda, et al.
Neuroinformatics
|
October 17, 2024
A Deep Learning-based Pipeline for Segmenting the Cerebral Cortex Laminar Structure in Histology Images
Jiaxuan Wang, Rui Gong, Shahrokh Heidari, et al.
Brain Structure & Function
|
May 6, 2020
The NanoZoomer artificial intelligence connectomics pipeline for tracer injection studies of the marmoset brain
Alexander Woodward, Rui Gong, Hiroshi Abe, et al.
Scientific Reports
|
April 9, 2024
Commonality and variance of resting-state networks in common marmoset brains
Kanako Muta, Yawara Haga, Junichi Hata, et al.
Scientific Reports
|
December 19, 2020
Optimization and validation of diffusion MRI-based fiber tracking with neural tracer data as a reference
Carlos Enrique Gutierrez, Henrik Skibbe, Ken Nakae, et al.
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of 2
Search research articles
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Showing results (1-10 of 13) with videos related to
Sort By:
Page
of 2
Frontiers in Neuroscience
|
December 13, 2021
Vector Auto-Regressive Deep Neural Network: A Data-Driven Deep Learning-Based Directed Functional Connectivity Estimation Toolbox
Takuto Okuno, Alexander Woodward
Neural Networks : the Official Journal of the International Neural Network Society
|
September 27, 2014
Neural coordination can be enhanced by occasional interruption of normal firing patterns: a self-optimizing spiking neural network model
Alexander Woodward, Tom Froese, Takashi Ikegami
Frontiers in Neuroimaging
|
January 24, 2024
A reappraisal of the default mode and frontoparietal networks in the common marmoset brain
Takuto Okuno, Noritaka Ichinohe, Alexander Woodward
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|
September 19, 2024
A Novel Directed Seed-Based Connectivity Analysis Toolbox Applied to Human and Marmoset Resting-State FMRI
Takuto Okuno, Junichi Hata, Chino Kawai, et al.
Neuroimage
|
August 17, 2023
Group Surrogate Data Generating Models and similarity quantification of multivariate time-series: A resting-state fMRI study
Takuto Okuno, Junichi Hata, Yawara Haga, et al.
Scientific Data
|
February 14, 2018
The Brain/MINDS 3D digital marmoset brain atlas
Alexander Woodward, Tsutomu Hashikawa, Masahide Maeda, et al.
Neuroinformatics
|
October 17, 2024
A Deep Learning-based Pipeline for Segmenting the Cerebral Cortex Laminar Structure in Histology Images
Jiaxuan Wang, Rui Gong, Shahrokh Heidari, et al.
Brain Structure & Function
|
May 6, 2020
The NanoZoomer artificial intelligence connectomics pipeline for tracer injection studies of the marmoset brain
Alexander Woodward, Rui Gong, Hiroshi Abe, et al.
Scientific Reports
|
April 9, 2024
Commonality and variance of resting-state networks in common marmoset brains
Kanako Muta, Yawara Haga, Junichi Hata, et al.
Scientific Reports
|
December 19, 2020
Optimization and validation of diffusion MRI-based fiber tracking with neural tracer data as a reference
Carlos Enrique Gutierrez, Henrik Skibbe, Ken Nakae, et al.
Page
of 2