Frontiers in Computational Neuroscience

Original Research

Published on 04 Nov 2022

A comparative analysis of masking empirical mode decomposition and a neural network with feed-forward and back propagation along with masking empirical mode decomposition to improve the classification performance for a reliable brain-computer interface

D. Jaipriya
K. C. Sriharipriya

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.1010770

3,592 views
9 citations

Original Research

Published on 04 Nov 2022

A computational classification method of breast cancer images using the VGGNet model

Abdullah Khan
Asfandyar Khan
Muneeb Ullah
Muhammad Mansoor Alam
Javed Iqbal Bangash
Mazliham Mohd Suud

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.1001803

3,305 views
11 citations

Original Research

Published on 04 Nov 2022

Intelligent recommendation system based on decision model of archive translation tasks

Chen Lilan
Chen Yongsheng

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.1048047

3,163 views
2 citations

Original Research

Published on 04 Nov 2022

Light-efficient channel attention in convolutional neural networks for tic recognition in the children with tic disorders

Fudi Geng
Qiang Ding
Wanyu Wu
Xiangyang Wang
Yanping Li
Jinhua Sun
Rui Wang

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.1047954

3,028 views
7 citations

Original Research

Published on 04 Nov 2022

Disinhibitory circuit mediated by connections from vasoactive intestinal polypeptide to somatostatin interneurons underlies the paradoxical decrease in spike synchrony with increased border ownership selective neuron firing rate

Nobuhiko Wagatsuma
Haruka Shimomura
Sou Nobukawa

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.988715

2,576 views
1 citation

Original Research

Published on 03 Nov 2022

Invariance of object detection in untrained deep neural networks

Jeonghwan Cheon
Seungdae Baek
Se-Bum Paik

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.1030707

7,482 views
10 citations

Original Research

Published on 03 Nov 2022

Cortical circuit-based lossless neural integrator for perceptual decision-making: A computational modeling study

Jung Hoon Lee
Joji Tsunada
Sujith Vijayan
Yale E. Cohen

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.979830

2,888 views

Original Research

Published on 03 Nov 2022

Quantitative properties of the creation and activation of a cell-intrinsic duration-encoding engram

Charles Randy Gallistel
Fredrik Johansson
Dan-Anders Jirenhed
Anders Rasmussen
Matthew Ricci
Germund Hesslow

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.1019812

4,137 views
4 citations

Original Research

Published on 01 Nov 2022

Transfer learning-based modified inception model for the diagnosis of Alzheimer's disease

Sarang Sharma
Sheifali Gupta
Deepali Gupta
Sapna Juneja
Amena Mahmoud
Shaker El–Sappagh
Kyung-Sup Kwak

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.1000435

4,378 views
27 citations

Mini Review

Published on 28 Oct 2022

Skeleton-based motion prediction: A survey

Muhammad Usman
Jianqi Zhong

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.1051222

7,445 views
8 citations

Review

Published on 28 Oct 2022

Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation

Stefano Masoli
Martina Francesca Rizza
Marialuisa Tognolina
Francesca Prestori
Egidio D’Angelo

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.1006989

7,018 views
10 citations

Original Research

Published on 27 Oct 2022

Identifying depression disorder using multi-view high-order brain function network derived from electroencephalography signal

Feng Zhao
Tianyu Gao
Zhi Cao
Xiaobo Chen
Yanyan Mao
Ning Mao
Yande Ren

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.1046310

3,409 views
8 citations

Editorial

Published on 24 Oct 2022

Editorial: Symmetry as a guiding principle in artificial and brain neural networks

Fabio Anselmi
Ankit B. Patel

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.1039572

2,674 views
3 citations

Original Research

Published on 14 Oct 2022

Dynamic probability integration for electroencephalography-based rapid serial visual presentation performance enhancement: Application in nighttime vehicle detection

Yujie Cui
Songyun Xie
Xinzhou Xie
Xiaowei Zhang
Xianghui Liu

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.1006361

3,882 views
5 citations

Hypothesis and Theory

Published on 14 Oct 2022

Unification of free energy minimization, spatiotemporal energy, and dimension reduction models of V1 organization: Postnatal learning on an antenatal scaffold

James Joseph Wright
Paul David Bourke

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.869268

6,278 views
5 citations

Original Research

Published on 14 Oct 2022

Some sufficient conditions on hamilton graphs with toughness

Gaixiang Cai
Tao Yu
Huan Xu
Guidong Yu

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.1019039

6,078 views
4 citations

Brief Research Report

Published on 14 Oct 2022

Computing the partition dimension of certain families of Toeplitz graph

Ricai Luo
Adnan Khalil
Ali Ahmad
Muhammad Azeem
Gafurjan Ibragimov
Muhammad Faisal Nadeem

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.959105

5,171 views
6 citations

Methods

Published on 13 Oct 2022

Mean-field based framework for forward modeling of LFP and MEG signals

Federico Tesler
Núria Tort-Colet
Damien Depannemaecker
Mallory Carlu
Alain Destexhe

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.968278

4,651 views
27 citations

Original Research

Published on 10 Oct 2022

Self-organized criticality in a mesoscopic model of excitatory-inhibitory neuronal populations by short-term and long-term synaptic plasticity

Masud Ehsani
Jürgen Jost

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.910735

3,618 views
2 citations

Original Research

Published on 07 Oct 2022

EEG-based emotion recognition using hybrid CNN and LSTM classification

Bhuvaneshwari Chakravarthi
Sin-Chun Ng
M. R. Ezilarasan
Man-Fai Leung

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.1019776

23,558 views
151 citations

Original Research

Published on 07 Oct 2022

Heart disease detection based on internet of things data using linear quadratic discriminant analysis and a deep graph convolutional neural network

K. Saikumar
V. Rajesh
Gautam Srivastava
Jerry Chun-Wei Lin

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.964686

8,116 views
21 citations

Original Research

Published on 05 Oct 2022

Method for persistent topological features extraction of schizophrenia patients’ electroencephalography signal based on persistent homology

Guangxing Guo
Yanli Zhao
Chenxu Liu
Yongcan Fu
Xinhua Xi
Lizhong Jin
Dongli Shi
Lin Wang
Yonghong Duan
Jie Huang

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.1024205

6,661 views
13 citations

Original Research

Published on 05 Oct 2022

A neural network model for timing control with reinforcement

Jing Wang
Yousuf El-Jayyousi
Ilker Ozden

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.918031

4,527 views
5 citations

Original Research

Published on 03 Oct 2022

Self-decisive algorithm for unconstrained optimization problems as in biomedical image analysis

Farah Jaffar
Wali Khan Mashwani
Sanaa Mohammed Al-marzouki
Nudrat Aamir
Mohammad Abiad

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2022.994161

3,946 views
12 citations

2,088 Publications

volumes

Volume 16 - 2022

A comparative analysis of masking empirical mode decomposition and a neural network with feed-forward and back propagation along with masking empirical mode decomposition to improve the classification performance for a reliable brain-computer interface

A computational classification method of breast cancer images using the VGGNet model

Intelligent recommendation system based on decision model of archive translation tasks

Light-efficient channel attention in convolutional neural networks for tic recognition in the children with tic disorders

Disinhibitory circuit mediated by connections from vasoactive intestinal polypeptide to somatostatin interneurons underlies the paradoxical decrease in spike synchrony with increased border ownership selective neuron firing rate

Invariance of object detection in untrained deep neural networks

Cortical circuit-based lossless neural integrator for perceptual decision-making: A computational modeling study

Quantitative properties of the creation and activation of a cell-intrinsic duration-encoding engram

Transfer learning-based modified inception model for the diagnosis of Alzheimer's disease

Skeleton-based motion prediction: A survey

Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation

Identifying depression disorder using multi-view high-order brain function network derived from electroencephalography signal

Editorial: Symmetry as a guiding principle in artificial and brain neural networks

Dynamic probability integration for electroencephalography-based rapid serial visual presentation performance enhancement: Application in nighttime vehicle detection

Unification of free energy minimization, spatiotemporal energy, and dimension reduction models of V1 organization: Postnatal learning on an antenatal scaffold

Some sufficient conditions on hamilton graphs with toughness

Computing the partition dimension of certain families of Toeplitz graph

Mean-field based framework for forward modeling of LFP and MEG signals

Self-organized criticality in a mesoscopic model of excitatory-inhibitory neuronal populations by short-term and long-term synaptic plasticity

EEG-based emotion recognition using hybrid CNN and LSTM classification

Heart disease detection based on internet of things data using linear quadratic discriminant analysis and a deep graph convolutional neural network

Method for persistent topological features extraction of schizophrenia patients’ electroencephalography signal based on persistent homology

A neural network model for timing control with reinforcement

Self-decisive algorithm for unconstrained optimization problems as in biomedical image analysis