Frontiers in Computational Neuroscience

Methods

Published on 03 Dec 2021

Improving the Quantification of the Lateral Geniculate Nucleus in Magnetic Resonance Imaging Using a Novel 3D-Edge Enhancement Technique

Mikhail Lipin
Jean Bennett
Gui-Shuang Ying
Yinxi Yu
Manzar Ashtari

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.708866

7,126 views
4 citations

Original Research

Published on 02 Dec 2021

Emergent Dynamics and Spatio Temporal Patterns on Multiplex Neuronal Networks

Umesh Kumar Verma
G. Ambika

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.774969

8,743 views
5 citations

Original Research

Published on 02 Dec 2021

Improving Between-Group Effect Size for Multi-Site Functional Connectivity Data via Site-Wise De-Meaning

Alexandra M. Reardon
Kaiming Li
Xiaoping P. Hu

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.762781

9,081 views
18 citations

Original Research

Published on 01 Dec 2021

Assessment of Carotid Plaque Stability Using Contrast-Enhanced Ultrasound and Its Correlation With the Expression of CD147 and MMP-9 in the Plaque

Shanshan Huang
Xinyin Wu
Linlin Zhang
Jianming Wu
Yi He
Manlin Lai
Jiaqi Xu
Zhenzhou Li

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.778946

9,014 views
13 citations

Editorial

Published on 29 Nov 2021

Editorial: Inter- and Intra-subject Variability in Brain Imaging and Decoding

Chun-Shu Wei
Corey J. Keller
Junhua Li
Yuan-Pin Lin
Masaki Nakanishi
Johanna Wagner
Wei Wu
Yu Zhang
Tzyy-Ping Jung

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.791129

10,878 views
17 citations

Original Research

Published on 22 Nov 2021

Biologically Inspired Deep Learning Model for Efficient Foveal-Peripheral Vision

Hristofor Lukanov
Peter König
Gordon Pipa

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.746204

11,698 views
15 citations

Original Research

Published on 22 Nov 2021

Emergence of Lie Symmetries in Functional Architectures Learned by CNNs

Federico Bertoni
Noemi Montobbio
Alessandro Sarti
Giovanna Citti

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.694505

4,827 views
4 citations

Hypothesis and Theory

Published on 19 Nov 2021

Free-Energy Model of Emotion Potential: Modeling Arousal Potential as Information Content Induced by Complexity and Novelty

Hideyoshi Yanagisawa

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.698252

10,214 views
29 citations

Original Research

Published on 19 Nov 2021

Photorealistic Reconstruction of Visual Texture From EEG Signals

Suguru Wakita
Taiki Orima
Isamu Motoyoshi

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.754587

12,791 views
17 citations

Original Research

Published on 16 Nov 2021

Analysis of the Neuron Dynamics in Thalamic Reticular Nucleus by a Reduced Model

Chaoming Wang
Shangyang Li
Si Wu

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.764153

9,354 views
8 citations

Original Research

Published on 16 Nov 2021

Mechanical Learning for Prediction of Sepsis-Associated Encephalopathy

Lina Zhao
Yunying Wang
Zengzheng Ge
Huadong Zhu
Yi Li

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.739265

11,189 views
21 citations

Original Research

Published on 11 Nov 2021

Machine Learning to Predict Brain Amyloid Pathology in Pre-dementia Alzheimer’s Disease Using QEEG Features and Genetic Algorithm Heuristic

Nam Heon Kim
Dong Won Yang
Seong Hye Choi
Seung Wan Kang

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.755499

11,047 views
24 citations

Methods

Published on 11 Nov 2021

Single-Trial MEG Data Can Be Denoised Through Cross-Subject Predictive Modeling

Srinivas Ravishankar
Mariya Toneva
Leila Wehbe

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.737324

7,672 views
6 citations

Original Research

Published on 11 Nov 2021

Finger Gesture Recognition Using Sensing and Classification of Surface Electromyography Signals With High-Precision Wireless Surface Electromyography Sensors

Jianting Fu
Shizhou Cao
Linqin Cai
Lechan Yang

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.770692

10,339 views
9 citations

Original Research

Published on 08 Nov 2021

Controlling Alzheimer’s Disease Through the Deep Brain Stimulation to Thalamic Relay Cells

XiaoLi Yang
RuiXi Zhang
ZhongKui Sun
Jürgen Kurths

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.636770

4,178 views
7 citations

Methods

Published on 08 Nov 2021

Discriminative Dictionary Learning for Autism Spectrum Disorder Identification

Wenbo Liu
Ming Li
Xiaobing Zou
Bhiksha Raj

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.662401

6,771 views
1 citation

Original Research

Published on 28 Oct 2021

Quantifying the Landscape of Decision Making From Spiking Neural Networks

Leijun Ye
Chunhe Li

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.740601

6,592 views
12 citations

Original Research

Published on 27 Oct 2021

Dynamical Conventional Neural Network Channel Pruning by Genetic Wavelet Channel Search for Image Classification

Lin Chen
Saijun Gong
Xiaoyu Shi
Mingsheng Shang

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.760554

5,258 views
4 citations

Original Research

Published on 27 Oct 2021

Monitoring and Evaluation of Emotion Regulation by Aerobic Exercise and Motor Imagery Based on Functional Near-Infrared Spectroscopy

Peng Ding
Fawang Wang
Siyu Li
Wei Zhang
Hongquan Li
Zhuangfei Chen
Lei Zhao
Anmin Gong
Yunfa Fu

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.759360

7,554 views
5 citations

Original Research

Published on 26 Oct 2021

Stability Evaluation of Brain Changes in Parkinson's Disease Based on Machine Learning

Chenggang Song
Weidong Zhao
Hong Jiang
Xiaoju Liu
Yumei Duan
Xiaodong Yu
Xi Yu
Jian Zhang
Jingyue Kui
Chang Liu

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.735991

6,371 views
12 citations

Original Research

Published on 22 Oct 2021

Short-Term Plasticity Regulates Both Divisive Normalization and Adaptive Responses in Drosophila Olfactory System

Yuxuan Liu
Qianyi Li
Chao Tang
Shanshan Qin
Yuhai Tu

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.730431

7,012 views
2 citations

Brief Research Report

Published on 21 Oct 2021

Simulation and Mitigation of the Wrap-Around Artifact in the MRI Image

Runze Hu
Rui Yang
Yutao Liu
Xiu Li

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.746549

7,514 views
11 citations

Original Research

Published on 20 Oct 2021

Functional Brain Networks in Mild Cognitive Impairment Based on Resting Electroencephalography Signals

Nadia Youssef
Shasha Xiao
Meng Liu
Haipeng Lian
Renren Li
Xi Chen
Wei Zhang
Xiaoran Zheng
Yunxia Li
Yingjie Li

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.698386

9,125 views
39 citations

Original Research

Published on 18 Oct 2021

Effective Plug-Ins for Reducing Inference-Latency of Spiking Convolutional Neural Networks During Inference Phase

Xuan Chen
Xiaopeng Yuan
Gaoming Fu
Yuanyong Luo
Tao Yue
Feng Yan
Yuxuan Wang
Hongbing Pan

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2021.697469

7,941 views
2 citations

135 Publications

volumes

Improving the Quantification of the Lateral Geniculate Nucleus in Magnetic Resonance Imaging Using a Novel 3D-Edge Enhancement Technique

Emergent Dynamics and Spatio Temporal Patterns on Multiplex Neuronal Networks

Improving Between-Group Effect Size for Multi-Site Functional Connectivity Data via Site-Wise De-Meaning

Assessment of Carotid Plaque Stability Using Contrast-Enhanced Ultrasound and Its Correlation With the Expression of CD147 and MMP-9 in the Plaque

Editorial: Inter- and Intra-subject Variability in Brain Imaging and Decoding

Biologically Inspired Deep Learning Model for Efficient Foveal-Peripheral Vision

Emergence of Lie Symmetries in Functional Architectures Learned by CNNs

Free-Energy Model of Emotion Potential: Modeling Arousal Potential as Information Content Induced by Complexity and Novelty

Photorealistic Reconstruction of Visual Texture From EEG Signals

Analysis of the Neuron Dynamics in Thalamic Reticular Nucleus by a Reduced Model

Mechanical Learning for Prediction of Sepsis-Associated Encephalopathy

Machine Learning to Predict Brain Amyloid Pathology in Pre-dementia Alzheimer’s Disease Using QEEG Features and Genetic Algorithm Heuristic

Single-Trial MEG Data Can Be Denoised Through Cross-Subject Predictive Modeling

Finger Gesture Recognition Using Sensing and Classification of Surface Electromyography Signals With High-Precision Wireless Surface Electromyography Sensors

Controlling Alzheimer’s Disease Through the Deep Brain Stimulation to Thalamic Relay Cells

Discriminative Dictionary Learning for Autism Spectrum Disorder Identification

Quantifying the Landscape of Decision Making From Spiking Neural Networks

Dynamical Conventional Neural Network Channel Pruning by Genetic Wavelet Channel Search for Image Classification

Monitoring and Evaluation of Emotion Regulation by Aerobic Exercise and Motor Imagery Based on Functional Near-Infrared Spectroscopy

Stability Evaluation of Brain Changes in Parkinson's Disease Based on Machine Learning

Short-Term Plasticity Regulates Both Divisive Normalization and Adaptive Responses in Drosophila Olfactory System

Simulation and Mitigation of the Wrap-Around Artifact in the MRI Image

Functional Brain Networks in Mild Cognitive Impairment Based on Resting Electroencephalography Signals

Effective Plug-Ins for Reducing Inference-Latency of Spiking Convolutional Neural Networks During Inference Phase