Frontiers in Computational Neuroscience

Original Research

Published on 20 Jun 2024

Translational symmetry in convolutions with localized kernels causes an implicit bias toward high frequency adversarial examples

Josue O. Caro
Yilong Ju
Ryan Pyle
Sourav Dey
Wieland Brendel
Fabio Anselmi
Ankit B. Patel

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1387077

907 views
1 citation

Original Research

Published on 19 Jun 2024

A novel multi-feature fusion attention neural network for the recognition of epileptic EEG signals

Congshan Sun
Cong Xu
Hongwei Li
Hongjian Bo
Lin Ma
Haifeng Li

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1393122

1,191 views

Original Research

Published on 17 Jun 2024

Residual and bidirectional LSTM for epileptic seizure detection

Wei Zhao
Wen-Feng Wang
Lalit Mohan Patnaik
Bao-Can Zhang
Su-Jun Weng
Shi-Xiao Xiao
De-Zhi Wei
Hai-Feng Zhou

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1415967

1,817 views
2 citations

Original Research

Published on 14 Jun 2024

Design and evaluation of a global workspace agent embodied in a realistic multimodal environment

Rousslan Fernand Julien Dossa
Kai Arulkumaran
Arthur Juliani
Shuntaro Sasai
Ryota Kanai

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1352685

2,009 views

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

2,898 views
3 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

1,123 views

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

1,327 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

1,227 views

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

1,184 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

1,018 views

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

1,765 views

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

1,347 views

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

3,557 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

1,865 views
1 citation

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

1,546 views

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

1,496 views

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Articles

Translational symmetry in convolutions with localized kernels causes an implicit bias toward high frequency adversarial examples

A novel multi-feature fusion attention neural network for the recognition of epileptic EEG signals

Residual and bidirectional LSTM for epileptic seizure detection

Design and evaluation of a global workspace agent embodied in a realistic multimodal environment

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