Frontiers in Computational Neuroscience

Original Research

Published on 12 Jun 2024

Enhancing brain tumor classification in MRI scans with a multi-layer customized convolutional neural network approach

Eid Albalawi
Arastu Thakur
D. Ramya Dorai
Surbhi Bhatia Khan
T. R. Mahesh
Ahlam Almusharraf
Khursheed Aurangzeb
Muhammad Shahid Anwar

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1418546

8,087 views
18 citations

Original Research

Published on 12 Jun 2024

SS-DRPL: self-supervised deep representation pattern learning for voice-based Parkinson's disease detection

Tae Hoon Kim
Moez Krichen
Stephen Ojo
Gabriel Avelino Sampedro
Meznah A. Alamro

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1414462

2,172 views
1 citation

Original Research

Published on 06 Jun 2024

Pathological cell assembly dynamics in a striatal MSN network model

Astrid Correa
Adam Ponzi
Vladimir M. Calderón
Rosanna Migliore

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1410335

2,828 views

Original Research

Published on 30 May 2024

Synergy quality assessment of muscle modules for determining learning performance using a realistic musculoskeletal model

Akito Fukunishi
Kyo Kutsuzawa
Dai Owaki
Mitsuhiro Hayashibe

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1355855

2,550 views
3 citations

Brief Research Report

Published on 30 May 2024

DT-SCNN: dual-threshold spiking convolutional neural network with fewer operations and memory access for edge applications

Fuming Lei
Xu Yang
Jian Liu
Runjiang Dou
Nanjian Wu

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1418115

2,519 views

Original Research

Published on 28 May 2024

Simulated dynamical transitions in a heterogeneous marmoset pFC cluster

Bernard A. Pailthorpe

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1398898

1,635 views
1 citation

Original Research

Published on 22 May 2024

A mutual information measure of phase-amplitude coupling using gamma generalized linear models

Andrew S. Perley
Todd P. Coleman

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1392655

3,825 views
4 citations

Original Research

Published on 22 May 2024

Multi-sequence generative adversarial network: better generation for enhanced magnetic resonance imaging images

Leizi Li
Jingchun Yu
Yijin Li
Jinbo Wei
Ruifang Fan
Dieen Wu
Yufeng Ye

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1365238

3,039 views
3 citations

Original Research

Published on 16 May 2024

Information bottleneck-based Hebbian learning rule naturally ties working memory and synaptic updates

Kyle Daruwalla
Mikko Lipasti

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1240348

5,458 views

Original Research

Published on 14 May 2024

A machine learning approach to evaluate the impact of virtual balance/cognitive training on fall risk in older women

Beata Sokołowska
Wiktor Świderski
Edyta Smolis-Bąk
Ewa Sokołowska
Teresa Sadura-Sieklucka

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1390208

4,142 views
4 citations

Original Research

Published on 09 May 2024

Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI

Aaron Kujawa
Reuben Dorent
Steve Connor
Suki Thomson
Marina Ivory
Ali Vahedi
Emily Guilhem
Navodini Wijethilake
Robert Bradford
Neil Kitchen

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1365727

3,558 views
13 citations

Original Research

Published on 09 May 2024

Computational modeling to study the impact of changes in Nav1.8 sodium channel on neuropathic pain

Peter Kan
Yong Fang Zhu
Junling Ma
Gurmit Singh

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1327986

3,377 views
4 citations

Hypothesis and Theory

Published on 07 May 2024

The emergence of enhanced intelligence in a brain-inspired cognitive architecture

Howard Schneider

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1367712

4,154 views
7 citations

Methods

Published on 02 May 2024

PointAS: an attention based sampling neural network for visual perception

Bo zi Qiu
Sheng Li
Lei Wang

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1340019

2,208 views
1 citation

Original Research

Published on 02 May 2024

Feedback stabilization of probabilistic finite state machines based on deep Q-network

Hui Tian
Xin Su
Yanfang Hou

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1385047

1,588 views

Original Research

Published on 29 Apr 2024

Reinforcement learning-based SDN routing scheme empowered by causality detection and GNN

Yuanhao He
Geyang Xiao
Jun Zhu
Tao Zou
Yuan Liang

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1393025

5,815 views
6 citations

Original Research

Published on 25 Apr 2024

Prediction of Alzheimer's disease stages based on ResNet-Self-attention architecture with Bayesian optimization and best features selection

Nabeela Yaqoob
Muhammad Attique Khan
Saleha Masood
Hussain Mobarak Albarakati
Ameer Hamza
Fatimah Alhayan
Leila Jamel
Anum Masood

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1393849

4,139 views
15 citations

Original Research

Published on 19 Apr 2024

Grid codes vs. multi-scale, multi-field place codes for space

Robin Dietrich
Nicolai Waniek
Martin Stemmler
Alois Knoll

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1276292

2,266 views
1 citation

Original Research

Published on 17 Apr 2024

Prediction of emotion distribution of images based on weighted K-nearest neighbor-attention mechanism

Kai Cheng

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1350916

1,985 views
5 citations

Original Research

Published on 17 Apr 2024

U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis

Qiankun Zuo
Ruiheng Li
Binghua Shi
Jin Hong
Yanfei Zhu
Xuhang Chen
Yixian Wu
Jia Guo

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1387004

3,157 views
7 citations

Original Research

Published on 12 Apr 2024

Predictive coding with spiking neurons and feedforward gist signaling

Kwangjun Lee
Shirin Dora
Jorge F. Mejias
Sander M. Bohte
Cyriel M. A. Pennartz

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1338280

6,882 views
12 citations

Original Research

Published on 10 Apr 2024

A novel approach for ASD recognition based on graph attention networks

Canhua Wang
Zhiyong Xiao
Yilu Xu
Qi Zhang
Jingfang Chen

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1388083

3,202 views
4 citations

Original Research

Published on 09 Apr 2024

Understanding of facial features in face perception: insights from deep convolutional neural networks

Qianqian Zhang
Yueyi Zhang
Ning Liu
Xiaoyan Sun

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1209082

6,365 views
4 citations

Original Research

Published on 03 Apr 2024

Brain tumor segmentation using neuro-technology enabled intelligence-cascaded U-Net model

Haewon Byeon
Mohannad Al-Kubaisi
Ashit Kumar Dutta
Faisal Alghayadh
Mukesh Soni
Manisha Bhende
Venkata Chunduri
K. Suresh Babu
Rubal Jeet

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1391025

4,448 views
12 citations

120 Publications

volumes

Enhancing brain tumor classification in MRI scans with a multi-layer customized convolutional neural network approach

SS-DRPL: self-supervised deep representation pattern learning for voice-based Parkinson's disease detection

Pathological cell assembly dynamics in a striatal MSN network model

Synergy quality assessment of muscle modules for determining learning performance using a realistic musculoskeletal model

DT-SCNN: dual-threshold spiking convolutional neural network with fewer operations and memory access for edge applications

Simulated dynamical transitions in a heterogeneous marmoset pFC cluster

A mutual information measure of phase-amplitude coupling using gamma generalized linear models

Multi-sequence generative adversarial network: better generation for enhanced magnetic resonance imaging images

Information bottleneck-based Hebbian learning rule naturally ties working memory and synaptic updates

A machine learning approach to evaluate the impact of virtual balance/cognitive training on fall risk in older women

Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI

Computational modeling to study the impact of changes in Nav1.8 sodium channel on neuropathic pain

The emergence of enhanced intelligence in a brain-inspired cognitive architecture

PointAS: an attention based sampling neural network for visual perception

Feedback stabilization of probabilistic finite state machines based on deep Q-network

Reinforcement learning-based SDN routing scheme empowered by causality detection and GNN

Prediction of Alzheimer's disease stages based on ResNet-Self-attention architecture with Bayesian optimization and best features selection

Grid codes vs. multi-scale, multi-field place codes for space

Prediction of emotion distribution of images based on weighted K-nearest neighbor-attention mechanism

U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis

Predictive coding with spiking neurons and feedforward gist signaling

A novel approach for ASD recognition based on graph attention networks

Understanding of facial features in face perception: insights from deep convolutional neural networks

Brain tumor segmentation using neuro-technology enabled intelligence-cascaded U-Net model