How do we know how the brain works?—Analyzing whole brain activities with classic mathematical and machine learning methods-Reference-Cited by-同舟云学术

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How do we know how the brain works?—Analyzing whole brain activities with classic mathematical and machine learning methods

Published:2020-03-01 Issue:3 Volume:59 Page:030501
ISSN:0021-4922
Container-title:Japanese Journal of Applied Physics
language:
Short-container-title:Jpn. J. Appl. Phys.

Author:

Wen Chentao^ORCID,Kimura Koutarou D.^ORCID

Funder

Nagoya City University

Japan Society for the Promotion of Science

RIKEN Center for Advanced Intelligence Project

Toyoaki Scholarship Foundation

Publisher

IOP Publishing

Subject

General Physics and Astronomy,Physics and Astronomy (miscellaneous),General Engineering

Link

https://iopscience.iop.org/article/10.35848/1347-4065/ab77f3/pdf

Reference78 articles.

1. The search for true numbers of neurons and glial cells in the human brain: A review of 150 years of cell counting

2. Small-World Brain Networks

3. Large-scale brain networks in cognition: emerging methods and principles

4. Recording of brain activity across spatial scales

5. Representation, Pattern Information, and Brain Signatures: From Neurons to Neuroimaging

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generalizable Machine Learning in Neuroscience Using Graph Neural Networks;Frontiers in Artificial Intelligence;2021-02-23

2. Dynamics of DNA Clogging in Hafnium Oxide Nanopores;The Journal of Physical Chemistry B;2020-12-14

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