Frontiers in Computational Neuroscience

Review

Published on 29 Jan 2024

Time-varying generalized linear models: characterizing and decoding neuronal dynamics in higher visual areas

Geyu Weng
Kelsey Clark
Amir Akbarian
Behrad Noudoost
Neda Nategh

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1273053

7,851 views
1 citation

Original Research

Published on 25 Jan 2024

Positional multi-length and mutual-attention network for epileptic seizure classification

Guokai Zhang
Aiming Zhang
Huan Liu
Jihao Luo
Jianqing Chen

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1358780

6,008 views
2 citations

Original Research

Published on 24 Jan 2024

Artificial neural network models: implementation of functional near-infrared spectroscopy-based spontaneous lie detection in an interactive scenario

M. Raheel Bhutta
Muhammad Umair Ali
Amad Zafar
Kwang Su Kim
Jong Hyuk Byun
Seung Won Lee

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1286664

4,002 views

Original Research

Published on 18 Jan 2024

Information representation in an oscillating neural field model modulated by working memory signals

William H. Nesse
Kelsey L. Clark
Behrad Noudoost

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1253234

3,157 views
2 citations

Original Research

Published on 18 Jan 2024

An efficient swarm intelligence approach to the optimization on high-dimensional solutions with cross-dimensional constraints, with applications in supply chain management

Hsin-Ping Liu
Frederick Kin Hing Phoa
Yun-Heh Chen-Burger
Shau-Ping Lin

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1283974

3,407 views
2 citations

Systematic Review

Published on 17 Jan 2024

Identifying distinctive brain regions related to consumer choice behaviors on branded foods using activation likelihood estimation and machine learning

Shinya Watanuki

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1310013

4,140 views

Original Research

Published on 11 Jan 2024

A lightweight mixup-based short texts clustering for contrastive learning

Qiang Xu
HaiBo Zan
ShengWei Ji

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1334748

3,465 views
1 citation

Original Research

Published on 11 Jan 2024

Exploring gene-drug interactions for personalized treatment of post-traumatic stress disorder

Konstantina Skolariki
Panagiotis Vlamos

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1307523

4,178 views

Original Research

Published on 08 Jan 2024

Neuro-environmental interactions: a time sensitive matter

Azzurra Invernizzi
Stefano Renzetti
Elza Rechtman
Claudia Ambrosi
Lorella Mascaro
Daniele Corbo
Roberto Gasparotti
Cheuk Y. Tang
Donald R. Smith
Roberto G. Lucchini

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1302010

4,750 views
1 citation

Original Research

Published on 05 Jan 2024

Improving imbalance classification via ensemble learning based on two-stage learning

Na Liu
Jiaqi Wang
Yongtong Zhu
Lihong Wan
Qingdu Li

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1296897

5,052 views

Original Research

Published on 05 Jan 2024

Text clustering based on pre-trained models and autoencoders

Qiang Xu
Hao Gu
ShengWei Ji

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1334436

7,720 views
5 citations

Opinion

Published on 05 Jan 2024

Challenges and limitations in computational prediction of protein misfolding in neurodegenerative diseases

Marios G. Krokidis
Georgios N. Dimitrakopoulos
Aristidis G. Vrahatis
Themis P. Exarchos
Panagiotis Vlamos

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1323182

6,832 views
2 citations

Editorial

Published on 04 Jan 2024

Editorial: Advances in Shannon-based communications and computations approaches to understanding information processing in the brain

James Tee
Giorgio M. Vitetta

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1352772

2,472 views

Original Research

Published on 04 Jan 2024

Machine learning hypothesis-generation for patient stratification and target discovery in rare disease: our experience with Open Science in ALS

Joseph Geraci
Ravi Bhargava
Bessi Qorri
Paul Leonchyk
Douglas Cook
Moses Cook
Fanny Sie
Luca Pani

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1199736

3,977 views
2 citations

Retraction

Published on 28 Dec 2023

Retraction: Cerebral microbleed detection via convolutional neural network and extreme learning machine

Frontiers Editorial Office

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1358283

3,273 views

Original Research

Published on 19 Dec 2023

Causal functional connectivity in Alzheimer's disease computed from time series fMRI data

Rahul Biswas
SuryaNarayana Sripada

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1251301

3,937 views
5 citations

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Articles

Time-varying generalized linear models: characterizing and decoding neuronal dynamics in higher visual areas

Positional multi-length and mutual-attention network for epileptic seizure classification

Artificial neural network models: implementation of functional near-infrared spectroscopy-based spontaneous lie detection in an interactive scenario

Information representation in an oscillating neural field model modulated by working memory signals

An efficient swarm intelligence approach to the optimization on high-dimensional solutions with cross-dimensional constraints, with applications in supply chain management

Identifying distinctive brain regions related to consumer choice behaviors on branded foods using activation likelihood estimation and machine learning

A lightweight mixup-based short texts clustering for contrastive learning

Exploring gene-drug interactions for personalized treatment of post-traumatic stress disorder

Neuro-environmental interactions: a time sensitive matter

Improving imbalance classification via ensemble learning based on two-stage learning

Text clustering based on pre-trained models and autoencoders

Challenges and limitations in computational prediction of protein misfolding in neurodegenerative diseases

Editorial: Advances in Shannon-based communications and computations approaches to understanding information processing in the brain

Machine learning hypothesis-generation for patient stratification and target discovery in rare disease: our experience with Open Science in ALS

Retraction: Cerebral microbleed detection via convolutional neural network and extreme learning machine

Causal functional connectivity in Alzheimer's disease computed from time series fMRI data