Frontiers in Computational Neuroscience

Original Research

Published on 26 Aug 2024

Deep learning for detecting prenatal alcohol exposure in pediatric brain MRI: a transfer learning approach with explainability insights

Anik Das
Kaue Duarte
Catherine Lebel
Mariana Bento

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1434421

2,948 views
3 citations

Original Research

Published on 23 Aug 2024

Simulating combined monoaminergic depletions in a PD animal model through a bio-constrained differential equations system

Samuele Carli
Luigi Brugnano
Daniele Caligiore

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1386841

1,868 views
1 citation

Book Review

Published on 15 Aug 2024

Book review: Electrical fields and the experienced life

Christof Koch

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1462913

1,875 views

Hypothesis and Theory

Published on 08 Aug 2024

A functional contextual, observer-centric, quantum mechanical, and neuro-symbolic approach to solving the alignment problem of artificial general intelligence: safe AI through intersecting computational psychological neuroscience and LLM architecture for emergent theory of mind

Darren J. Edwards

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1395901

11,029 views
11 citations

Original Research

Published on 06 Aug 2024

Multiscale modeling of neuronal dynamics in hippocampus CA1

Federico Tesler
Roberta Maria Lorenzi
Adam Ponzi
Claudia Casellato
Fulvia Palesi
Daniela Gandolfi
Claudia A. M. Gandini Wheeler Kingshott
Jonathan Mapelli
Egidio D'Angelo
Michele Migliore

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1432593

4,176 views
9 citations

Original Research

Published on 05 Aug 2024

A neural basis for learning sequential memory in brain loop structures

Duho Sihn
Sung-Phil Kim

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1421458

2,511 views
1 citation

Perspective

Published on 24 Jul 2024

Eight challenges in developing theory of intelligence

Haiping Huang

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1388166

4,582 views
8 citations

Methods

Published on 19 Jul 2024

EEG-based emotion recognition using graph convolutional neural network with dual attention mechanism

Wei Chen
Yuan Liao
Rui Dai
Yuanlin Dong
Liya Huang

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1416494

9,206 views
14 citations

Editorial

Published on 19 Jul 2024

Editorial: Neuromorphic computing: from emerging materials and devices to algorithms and implementation of neural networks inspired by brain neural mechanism

Guohe Zhang

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1443758

2,883 views
1 citation

Original Research

Published on 18 Jul 2024

Hippocampal formation-inspired global self-localization: quick recovery from the kidnapped robot problem from an egocentric perspective

Takeshi Nakashima
Shunsuke Otake
Akira Taniguchi
Katsuyoshi Maeyama
Lotfi El Hafi
Tadahiro Taniguchi
Hiroshi Yamakawa

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1398851

3,130 views
3 citations

Original Research

Published on 15 Jul 2024

Rényi entropy-complexity causality space: a novel neurocomputational tool for detecting scale-free features in EEG/iEEG data

Natalí Guisande
Fernando Montani

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1342985

3,416 views
4 citations

Original Research

Published on 15 Jul 2024

The synaptic correlates of serial position effects in sequential working memory

Jiaqi Zhou
Liping Gong
Xiaodong Huang
Chunlai Mu
Yuanyuan Mi

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1430244

3,517 views

Original Research

Published on 11 Jul 2024

SaE-GBLS: an effective self-adaptive evolutionary optimized graph-broad model for EEG-based automatic epileptic seizure detection

Liming Cheng
Jiaqi Xiong
Junwei Duan
Yuhang Zhang
Chun Chen
Jingxin Zhong
Zhiguo Zhou
Yujuan Quan

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1379368

1,962 views
5 citations

Review

Published on 10 Jul 2024

Purkinje cell models: past, present and future

Elías Mateo Fernández Santoro
Arun Karim
Pascal Warnaar
Chris I. De Zeeuw
Aleksandra Badura
Mario Negrello

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1426653

7,730 views
9 citations

Technology and Code

Published on 08 Jul 2024

A three-step, “brute-force” approach toward optimized affine spatial normalization

Marko Wilke

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1367148

1,810 views

Original Research

Published on 02 Jul 2024

Knowledge graph construction for heart failure using large language models with prompt engineering

Tianhan Xu
Yixun Gu
Mantian Xue
Renjie Gu
Bin Li
Xiang Gu

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1389475

9,680 views
16 citations

Original Research

Published on 02 Jul 2024

A spatial map: a propitious choice for constraining the binding problem

Zhixian Han
Anne B. Sereno

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1397819

2,191 views
3 citations

Original Research

Published on 28 Jun 2024

Conditional spatial biased intuitionistic clustering technique for brain MRI image segmentation

Jyoti Arora
Ghadir Altuwaijri
Ali Nauman
Meena Tushir
Tripti Sharma
Deepali Gupta
Sung Won Kim

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1425008

1,669 views
2 citations

Original Research

Published on 26 Jun 2024

An enhanced pattern detection and segmentation of brain tumors in MRI images using deep learning technique

Lubna Kiran
Asim Zeb
Qazi Nida Ur Rehman
Taj Rahman
Muhammad Shehzad Khan
Shafiq Ahmad
Muhammad Irfan
Muhammad Naeem
Shamsul Huda
Haitham Mahmoud

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1418280

3,695 views
5 citations

Original Research

Published on 24 Jun 2024

Hybrid deep spatial and statistical feature fusion for accurate MRI brain tumor classification

Saeed Iqbal
Adnan N. Qureshi
Musaed Alhussein
Khursheed Aurangzeb
Imran Arshad Choudhry
Muhammad Shahid Anwar

Frontiers in Computational Neuroscience

doi 10.3389/fncom.2024.1423051

4,026 views
14 citations

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

1,666 views
3 citations

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

2,377 views
4 citations

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

5,569 views
34 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

5,439 views
5 citations

120 Publications

volumes

Deep learning for detecting prenatal alcohol exposure in pediatric brain MRI: a transfer learning approach with explainability insights

Simulating combined monoaminergic depletions in a PD animal model through a bio-constrained differential equations system

Book review: Electrical fields and the experienced life

A functional contextual, observer-centric, quantum mechanical, and neuro-symbolic approach to solving the alignment problem of artificial general intelligence: safe AI through intersecting computational psychological neuroscience and LLM architecture for emergent theory of mind

Multiscale modeling of neuronal dynamics in hippocampus CA1

A neural basis for learning sequential memory in brain loop structures

Eight challenges in developing theory of intelligence

EEG-based emotion recognition using graph convolutional neural network with dual attention mechanism

Editorial: Neuromorphic computing: from emerging materials and devices to algorithms and implementation of neural networks inspired by brain neural mechanism

Hippocampal formation-inspired global self-localization: quick recovery from the kidnapped robot problem from an egocentric perspective

Rényi entropy-complexity causality space: a novel neurocomputational tool for detecting scale-free features in EEG/iEEG data

The synaptic correlates of serial position effects in sequential working memory

SaE-GBLS: an effective self-adaptive evolutionary optimized graph-broad model for EEG-based automatic epileptic seizure detection

Purkinje cell models: past, present and future

A three-step, “brute-force” approach toward optimized affine spatial normalization

Knowledge graph construction for heart failure using large language models with prompt engineering

A spatial map: a propitious choice for constraining the binding problem

Conditional spatial biased intuitionistic clustering technique for brain MRI image segmentation

An enhanced pattern detection and segmentation of brain tumors in MRI images using deep learning technique

Hybrid deep spatial and statistical feature fusion for accurate MRI brain tumor classification

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