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

1,241 views
1 citation

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

2,163 views
2 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

1,151 views
1 citation

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

2,161 views

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

2,033 views
3 citations

Technology and Code

Published on 22 Mar 2024

Identification of Smith–Magenis syndrome cases through an experimental evaluation of machine learning methods

Raúl Fernández-Ruiz
Esther Núñez-Vidal
Irene Hidalgo-delaguía
Elena Garayzábal-Heinze
Agustín Álvarez-Marquina
Rafael Martínez-Olalla
Daniel Palacios-Alonso

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1357607

2,192 views

Hypothesis and Theory

Published on 22 Mar 2024

Artificial cognition vs. artificial intelligence for next-generation autonomous robotic agents

Giulio Sandini
Alessandra Sciutti
Pietro Morasso

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1349408

4,701 views
5 citations

Original Research

Published on 21 Mar 2024

Novel deep learning framework for detection of epileptic seizures using EEG signals

Sayani Mallick
Veeky Baths

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1340251

4,563 views

Original Research

Published on 19 Mar 2024

A novel associative memory model based on semi-tensor product (STP)

Yanfang Hou
Hui Tian
Chengmao Wang

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1384924

1,904 views

Original Research

Published on 14 Mar 2024

The connectivity degree controls the difficulty in reservoir design of random boolean networks

Emmanuel Calvet
Bertrand Reulet
Jean Rouat

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1348138

2,125 views
1 citation

Review

Published on 05 Mar 2024

Neurocomputational mechanisms underlying perception and sentience in the neocortex

Andrew S. Johnson
William Winlow

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1335739

3,368 views

Editorial

Published on 05 Mar 2024

Editorial: Advancing our understanding of the impact of dynamics at different spatiotemporal scales and structure on brain synchronous activity, volume II

Thanos Manos
Chris G. Antonopoulos
Antonio M. Batista
Kelly C. Iarosz

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1386652

3,204 views

Original Research

Published on 26 Feb 2024

An exploratory computational analysis in mice brain networks of widespread epileptic seizure onset locations along with potential strategies for effective intervention and propagation control

Juliette Courson
Mathias Quoy
Yulia Timofeeva
Thanos Manos

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1360009

3,836 views
1 citation

Original Research

Published on 23 Feb 2024

Topological features of spike trains in recurrent spiking neural networks that are trained to generate spatiotemporal patterns

Oleg Maslennikov
Matjaž Perc
Vladimir Nekorkin

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1363514

4,241 views

Original Research

Published on 23 Feb 2024

Noise-induced synchrony of two-neuron motifs with asymmetric noise and uneven coupling

Gurpreet Jagdev
Na Yu

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1347748

3,544 views
1 citation

Editorial

Published on 22 Feb 2024

Editorial: Bioinformatics for modern neuroscience

Georgios N. Dimitrakopoulos
Mathieu Di Miceli

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1385658

5,136 views

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Articles

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

Identification of Smith–Magenis syndrome cases through an experimental evaluation of machine learning methods

Artificial cognition vs. artificial intelligence for next-generation autonomous robotic agents

Novel deep learning framework for detection of epileptic seizures using EEG signals

A novel associative memory model based on semi-tensor product (STP)

The connectivity degree controls the difficulty in reservoir design of random boolean networks

Neurocomputational mechanisms underlying perception and sentience in the neocortex

Editorial: Advancing our understanding of the impact of dynamics at different spatiotemporal scales and structure on brain synchronous activity, volume II

An exploratory computational analysis in mice brain networks of widespread epileptic seizure onset locations along with potential strategies for effective intervention and propagation control

Topological features of spike trains in recurrent spiking neural networks that are trained to generate spatiotemporal patterns

Noise-induced synchrony of two-neuron motifs with asymmetric noise and uneven coupling

Editorial: Bioinformatics for modern neuroscience