Frontiers in Computational Neuroscience

Methods

Published on 19 Jul 2023

Feature separation and adversarial training for the patient-independent detection of epileptic seizures

Yong Yang
Feng Li
Xiaolin Qin
Han Wen
Xiaoguang Lin
Dong Huang

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1195334

3,177 views
11 citations

Editorial

Published on 11 Jul 2023

Editorial: Affective brain-computer interface in emotion artificial intelligence and medical engineering

Zhaohua Lu
Tingwen Wang
Ruirui Zhang

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1237252

6,853 views
7 citations

Original Research

Published on 11 Jul 2023

Functional extreme learning machine

Xianli Liu
Guo Zhou
Yongquan Zhou
Qifang Luo

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1209372

6,821 views
9 citations

Mini Review

Published on 06 Jul 2023

Convolutional neural networks for vision neuroscience: significance, developments, and outstanding issues

Alessia Celeghin
Alessio Borriero
Davide Orsenigo
Matteo Diano
Carlos Andrés Méndez Guerrero
Alan Perotti
Giovanni Petri
Marco Tamietto

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1153572

17,060 views
27 citations

Original Research

Published on 05 Jul 2023

Empirical mode decomposition of local field potential data from optogenetic experiments

Sorinel A. Oprisan
Xandre Clementsmith
Tamas Tompa
Antonieta Lavin

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1223879

5,619 views
1 citation

Editorial

Published on 04 Jul 2023

Editorial: Machine and deep-learning for computational neuroscience

Gaurav Dhiman
Wattana Viriyasitavat
Atulya K. Nagar

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1218895

6,532 views
1 citation

Editorial

Published on 03 Jul 2023

Editorial: The new frontier in brain network physiology: from temporal dynamics to the principles of integration in physiological brain networks

Carlos Trenado
Ignacio Mendez-Balbuena
Alena Damborská
Amir Hussain
Mufti Mahmud
Mohammad Reza Daliri

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1242834

6,026 views

Original Research

Published on 03 Jul 2023

Online spike-based recognition of digits with ultrafast microlaser neurons

Amir Masominia
Laurie E. Calvet
Simon Thorpe
Sylvain Barbay

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1164472

5,564 views
3 citations

Systematic Review

Published on 29 Jun 2023

Examining electroencephalogram signatures of people with multiple sclerosis using a nonlinear dynamics approach: a systematic review and bibliographic analysis

Christopher Ivan Hernandez
Shaida Kargarnovin
Sara Hejazi
Waldemar Karwowski

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1207067

12,320 views
5 citations

Original Research

Published on 28 Jun 2023

Controlling neocortical epileptic seizures using forced temporal spike-time stimulation: an in silico computational study

Joseph Schmalz
Rachel V. Quinarez
Mayuresh V. Kothare
Gautam Kumar

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1084080

2,013 views
2 citations

Review

Published on 28 Jun 2023

Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network

Ikhwan Jeon
Taegon Kim

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1092185

12,458 views
16 citations

Editorial

Published on 22 Jun 2023

Editorial: Decoding novel therapeutic targets, biomarkers, and drug development strategies against neurodegenerative disorders—A multi-omics approach

E. Srinivasan
Siranjeevi Nagaraj
Sakthi Rajendran
R. Rajasekaran

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1227850

3,544 views
1 citation

Correction

Published on 20 Jun 2023

Corrigendum: Accurate few-shot object counting with Hough matching feature enhancement

Zhiquan He
Donghong Zheng
Hengyou Wang

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1232762

2,712 views

Original Research

Published on 15 Jun 2023

Robust and efficient representations of dynamic stimuli in hierarchical neural networks via temporal smoothing

Duho Sihn
Oh-Sang Kwon
Sung-Phil Kim

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1164595

4,550 views

Original Research

Published on 15 Jun 2023

Covariance properties under natural image transformations for the generalised Gaussian derivative model for visual receptive fields

Tony Lindeberg

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1189949

8,060 views
8 citations

Correction

Published on 13 Jun 2023

Corrigendum: An initial prediction and fine-tuning model based on improving GCN for 3D human motion prediction

Zhiquan He
Lujun Zhang
Hengyou Wang

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1232765

3,551 views

Original Research

Published on 09 Jun 2023

Optogenetic manipulation of inhibitory interneurons can be used to validate a model of spatiotemporal sequence learning

Jackson Rozells
Jeffrey P. Gavornik

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1198128

6,716 views
2 citations

Original Research

Published on 08 Jun 2023

Reservoir based spiking models for univariate Time Series Classification

Ramashish Gaurav
Terrence C. Stewart
Yang Yi

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1148284

9,775 views
11 citations

Original Research

Published on 07 Jun 2023

Information-theoretic analysis of Hierarchical Temporal Memory-Spatial Pooler algorithm with a new upper bound for the standard information bottleneck method

Shiva Sanati
Modjtaba Rouhani
Ghosheh Abed Hodtani

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1140782

6,700 views
3 citations

Perspective

Published on 31 May 2023

Toward a computational theory of manifold untangling: from global embedding to local flattening

Xin Li
Shuo Wang

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1197031

9,277 views
4 citations

Original Research

Published on 25 May 2023

Prestimulus α/β power in temporal-order judgments: individuals differ in direction of modulation but show consistency over auditory and visual tasks

Lars T. Boenke
Abdelhafid Zeghbib
Myra Spiliopoulou
David Alais
Frank W. Ohl

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1145267

7,695 views

Original Research

Published on 24 May 2023

Learning cortical hierarchies with temporal Hebbian updates

Pau Vilimelis Aceituno
Matilde Tristany Farinha
Reinhard Loidl
Benjamin F. Grewe

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1136010

10,691 views
8 citations

Opinion

Published on 24 May 2023

Can neuron modeling constrained by ultrafast imaging data extract the native function of ion channels?

Luiza Filipis
Marco Canepari

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1192421

6,888 views

Review

Published on 17 May 2023

Dynamic models for musical rhythm perception and coordination

Edward W. Large
Iran Roman
Ji Chul Kim
Jonathan Cannon
Jesse K. Pazdera
Laurel J. Trainor
John Rinzel
Amitabha Bose

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2023.1151895

23,662 views
58 citations

2,086 Publications

volumes

Volume 17 - 2023

Feature separation and adversarial training for the patient-independent detection of epileptic seizures

Editorial: Affective brain-computer interface in emotion artificial intelligence and medical engineering

Functional extreme learning machine

Convolutional neural networks for vision neuroscience: significance, developments, and outstanding issues

Empirical mode decomposition of local field potential data from optogenetic experiments

Editorial: Machine and deep-learning for computational neuroscience

Editorial: The new frontier in brain network physiology: from temporal dynamics to the principles of integration in physiological brain networks

Online spike-based recognition of digits with ultrafast microlaser neurons

Examining electroencephalogram signatures of people with multiple sclerosis using a nonlinear dynamics approach: a systematic review and bibliographic analysis

Controlling neocortical epileptic seizures using forced temporal spike-time stimulation: an in silico computational study

Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network

Editorial: Decoding novel therapeutic targets, biomarkers, and drug development strategies against neurodegenerative disorders—A multi-omics approach

Corrigendum: Accurate few-shot object counting with Hough matching feature enhancement

Robust and efficient representations of dynamic stimuli in hierarchical neural networks via temporal smoothing

Covariance properties under natural image transformations for the generalised Gaussian derivative model for visual receptive fields

Corrigendum: An initial prediction and fine-tuning model based on improving GCN for 3D human motion prediction

Optogenetic manipulation of inhibitory interneurons can be used to validate a model of spatiotemporal sequence learning

Reservoir based spiking models for univariate Time Series Classification

Information-theoretic analysis of Hierarchical Temporal Memory-Spatial Pooler algorithm with a new upper bound for the standard information bottleneck method

Toward a computational theory of manifold untangling: from global embedding to local flattening

Prestimulus α/β power in temporal-order judgments: individuals differ in direction of modulation but show consistency over auditory and visual tasks

Learning cortical hierarchies with temporal Hebbian updates

Can neuron modeling constrained by ultrafast imaging data extract the native function of ion channels?

Dynamic models for musical rhythm perception and coordination