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Frontiers in Computational Neuroscience, Volume 18
Volume 18, 2024
- Kwangjun Lee, Shirin Dora, Jorge F. Mejías
, Sander M. Bohté, Cyriel M. A. Pennartz
Predictive coding with spiking neurons and feedforward gist signaling. - Liming Cheng, Jiaqi Xiong, Junwei Duan, Yuhang Zhang, Chun Chen, Jingxin Zhong, Zhiguo Zhou, Yujuan Quan:
SaE-GBLS: an effective self-adaptive evolutionary optimized graph-broad model for EEG-based automatic epileptic seizure detection. - Duho Sihn, Sung-Phil Kim:
A neural basis for learning sequential memory in brain loop structures. - Bozhi Qiu, Sheng Li, Lei Wang:
PointAS: an attention based sampling neural network for visual perception. - Elías Mateo Fernández Santoro, Arun Karim
Purkinje cell models: past, present and future. - Qiankun Zuo, Ruiheng Li, Binghua Shi, Jin Hong
U-shaped convolutional transformer GAN with multi-resolution consistency loss for restoring brain functional time-series and dementia diagnosis. - Natalí Guisande
Rényi entropy-complexity causality space: a novel neurocomputational tool for detecting scale-free features in EEG/iEEG data. - Astrid Correa, Adam Ponzi, Vladimir M. Calderón, Rosanna Migliore
Pathological cell assembly dynamics in a striatal MSN network model. - Gurpreet Jagdev, Na Yu:
Noise-induced synchrony of two-neuron motifs with asymmetric noise and uneven coupling. - Georgios N. Dimitrakopoulos, Mathieu Di Miceli:
Editorial: Bioinformatics for modern neuroscience. - Guokai Zhang, Aiming Zhang, Huan Liu, Jihao Luo, Jianqing Chen:
Positional multi-length and mutual-attention network for epileptic seizure classification. - Christof Koch:
Book review: Electrical fields and the experienced life. - Congshan Sun, Cong Xu, Hongwei Li, Hongjian Bo, Lin Ma, Haifeng Li:
A novel multi-feature fusion attention neural network for the recognition of epileptic EEG signals. - Yiyan Zhang, Qin Li, Yi Xin:
Research on eight machine learning algorithms applicability on different characteristics data sets in medical classification tasks. - Tae Hoon Kim, Moez Krichen, Stephen Ojo, Gabriel Avelino R. Sampedro, Meznah A. Alamro:
SS-DRPL: self-supervised deep representation pattern learning for voice-based Parkinson's disease detection. - Marko Wilke:
A three-step, "brute-force" approach toward optimized affine spatial normalization. - Hsin-Ping Liu, Frederick Kin Hing Phoa, Yun-Heh Chen-Burger, Shau-Ping Lin:
An efficient swarm intelligence approach to the optimization on high-dimensional solutions with cross-dimensional constraints, with applications in supply chain management. - Robin Dietrich, Nicolai Waniek, Martin Stemmler, Alois Knoll:
Grid codes vs. multi-scale, multi-field place codes for space. - Fuming Lei, Xu Yang, Jian Liu, Runjiang Dou, Nanjian Wu:
DT-SCNN: dual-threshold spiking convolutional neural network with fewer operations and memory access for edge applications. - Leizi Li, Jingchun Yu, Yijin Li, Jinbo Wei, Ruifang Fan, Dieen Wu, Yufeng Ye:
Multi-sequence generative adversarial network: better generation for enhanced magnetic resonance imaging images. - Andrew Perley
A mutual information measure of phase-amplitude coupling using gamma generalized linear models. - Eid Albalawi, Arastu Thakur, D. Ramya Dorai, Surbhi Bhatia Khan, T. R. Mahesh, Ahlam Almusharraf, Khursheed Aurangzeb, Muhammad Shahid Anwar
Enhancing brain tumor classification in MRI scans with a multi-layer customized convolutional neural network approach. - Jyoti Arora, Ghadir Ali Altuwaijri
Conditional spatial biased intuitionistic clustering technique for brain MRI image segmentation. - Congzhou M. Sha, Jian Wang, Richard B. Mailman, Yang Yang, Nikolay V. Dokholyan:
Quantifying network behavior in the rat prefrontal cortex. - Rawan Khalil El Zghir, Natasha C. Gabay, Peter A. Robinson:
Unified theory of alpha, mu, and tau rhythms via eigenmodes of brain activity. - Thanos Manos, Chris G. Antonopoulos, Antonio M. Batista, Kelly C. Iarosz:
Editorial: Advancing our understanding of the impact of dynamics at different spatiotemporal scales and structure on brain synchronous activity, volume II. - Juliette Courson
An exploratory computational analysis in mice brain networks of widespread epileptic seizure onset locations along with potential strategies for effective intervention and propagation control. - Jiaqi Zhou, Liping Gong, Xiaodong Huang, Chunlai Mu, Yuanyuan Mi:
The synaptic correlates of serial position effects in sequential working memory. - Zhiyuan Yang, Yuanyuan Shen, Yanfei Shen:
Football referee gesture recognition algorithm based on YOLOv8s. - Sayani Mallick, Veeky Baths:
Novel deep learning framework for detection of epileptic seizures using EEG signals. - Emmanuel Calvet, Bertrand Reulet, Jean Rouat:
The connectivity degree controls the difficulty in reservoir design of random boolean networks. - Peng-Cheng Zhu, Jing-Jing Wan, Wei Shao, Xian-Chun Meng, Bolun Chen:
Colorectal image analysis for polyp diagnosis. - Nabeela Yaqoob, Muhammad Attique Khan, Saleha Masood, Hussain Mobarak Albarakati, Ameer Hamza, Fatimah Alhayan, Leila Jamel, Anum Masood:
Prediction of Alzheimer's disease stages based on ResNet-Self-attention architecture with Bayesian optimization and best features selection. - Saeed Iqbal, Adnan N. Qureshi, Musaed A. Alhussein, Khursheed Aurangzeb, Imran Arshad Choudhry
Hybrid deep spatial and statistical feature fusion for accurate MRI brain tumor classification. - Federico Tesler, Roberta Maria Lorenzi, Adam Ponzi, Claudia Casellato, Fulvia Palesi, Daniela Gandolfi, Claudia A. M. Gandini Wheeler-Kingshott
Multiscale modeling of neuronal dynamics in hippocampus CA1. - Brent M. Roeder, Xiwei She
Developing a hippocampal neural prosthetic to facilitate human memory encoding and recall of stimulus features and categories. - Darren J. Edwards:
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. - Shinya Watanuki:
Identifying distinctive brain regions related to consumer choice behaviors on branded foods using activation likelihood estimation and machine learning. - Wei Zhao, Wenfeng Wang, Lalit Mohan Patnaik, Baocan Zhang, Sujun Weng, Shixiao Xiao, Dezhi Wei, Haifeng Zhou:
Residual and bidirectional LSTM for epileptic seizure detection. - Geyu Weng, Kelsey L. Clark, Amir Akbarian, Behrad Noudoost, Neda Nategh:
Time-varying generalized linear models: characterizing and decoding neuronal dynamics in higher visual areas. - Samuele Carli, Luigi Brugnano
Simulating combined monoaminergic depletions in a PD animal model through a bio-constrained differential equations system. - Andrew Simon Johnson, William Winlow
Neurocomputational mechanisms underlying perception and sentience in the neocortex. - Qianqian Zhang, Yueyi Zhang, Ning Liu, Xiaoyan Sun:
Understanding of facial features in face perception: insights from deep convolutional neural networks. - Howard Schneider
The emergence of enhanced intelligence in a brain-inspired cognitive architecture. - Tianhan Xu, Yixun Gu, Mantian Xue, Renjie Gu, Bin Li, Xiang Gu:
Knowledge graph construction for heart failure using large language models with prompt engineering. - Kenneth Smith, Sharlee Climer:
Capturing biomarkers associated with Alzheimer disease subtypes using data distribution characteristics. - Akito Fukunishi, Kyo Kutsuzawa
Synergy quality assessment of muscle modules for determining learning performance using a realistic musculoskeletal model. - Guohe Zhang:
Editorial: Neuromorphic computing: from emerging materials and devices to algorithms and implementation of neural networks inspired by brain neural mechanism. - Anik Das, Kauê T. N. Duarte, Catherine Lebel, Mariana Pinheiro Bento:
Deep learning for detecting prenatal alcohol exposure in pediatric brain MRI: a transfer learning approach with explainability insights. - Manoj Kumar Nandi, Michele Valla, Matteo di Volo:
Bursting gamma oscillations in neural mass models. - Aaron Kujawa, Reuben Dorent, Steve Connor, Suki Thomson, Marina Ivory, Ali Vahedi, Emily Guilhem, Navodini Wijethilake
Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI. - Oleg Maslennikov, Matjaz Perc
Topological features of spike trains in recurrent spiking neural networks that are trained to generate spatiotemporal patterns. - Marina C. Ruppert-Junck
Random forest analysis of midbrain hypometabolism using [18F]-FDG PET identifies Parkinson's disease at the subject-level. - Licheng Zhao, Yi Zuo, Wenjun Zhang, Tieshan Li, C. L. Philip Chen:
End-to-end model-based trajectory prediction for ro-ro ship route using dual-attention mechanism. - Yanfang Hou, Hui Tian, Chengmao Wang:
A novel associative memory model based on semi-tensor product (STP). - Raúl Fernández-Ruiz, Esther Núñez-Vidal, Irene Hidalgo-De la Guía, Elena Garayzábal-Heinze, Agustín Álvarez Marquina
Identification of Smith-Magenis syndrome cases through an experimental evaluation of machine learning methods. - Josue Ortega Caro, Yilong Ju
Translational symmetry in convolutions with localized kernels causes an implicit bias toward high frequency adversarial examples. - Peter Kan, Yongfang Zhu, Junling Ma, Gurmit Singh:
Computational modeling to study the impact of changes in Nav1.8 sodium channel on neuropathic pain. - Hui Tian, Xin Su, Yanfang Hou:
Feedback stabilization of probabilistic finite state machines based on deep Q-network. - Lubna Kiran, Asim Zeb, Qazi Nida ur Rehman, Taj Rahman, Muhammad Shehzad Khan, Shafiq Ahmad, Muhammad Irfan Uddin, Muhammad Naeem, Shamsul Huda, Haitham A. Mahmoud:
An enhanced pattern detection and segmentation of brain tumors in MRI images using deep learning technique. - Wei Chen, Yuan Liao, Rui Dai, Yuanlin Dong, Liya Huang:
EEG-based emotion recognition using graph convolutional neural network with dual attention mechanism. - Bernard Pailthorpe:
Simulated dynamical transitions in a heterogeneous marmoset pFC cluster. - Haiping Huang:
Eight challenges in developing theory of intelligence. - Canhua Wang, Zhiyong Xiao, Yilu Xu, Qi Zhang, Jingfang Chen:
A novel approach for ASD recognition based on graph attention networks. - Haewon Byeon, Mohannad Al-Kubaisi, Ashit Kumar Dutta, Faisal Alghayadh, Mukesh Soni, Manisha Bhende, Venkata Chunduri, K. Suresh Babu, Rubal Jeet:
Brain tumor segmentation using neuro-technology enabled intelligence-cascaded U-Net model. - Rousslan Fernand Julien Dossa, Kai Arulkumaran, Arthur Juliani, Shuntaro Sasai, Ryota Kanai:
Design and evaluation of a global workspace agent embodied in a realistic multimodal environment. - Linan Guan, Huaguang Gu, Xinjing Zhang:
Dynamics of antiphase bursting modulated by the inhibitory synaptic and hyperpolarization-activated cation currents. - Yue Hu, Jian Liu, Rencheng Sun, Yongqiang Yu, Yi Sui:
Classification of epileptic seizures in EEG data based on iterative gated graph convolution network. - Yue Yuan, Xiangyu Ye, Jian Cui, Junyang Zhang, Zhaoxiang Wang:
Nonlinear analysis of neuronal firing modulated by sinusoidal stimulation at axons in rat hippocampus. - Andreas Bahmer, Johanna M. Rimmele, Daya Shankar Gupta:
Editorial: Understanding the role of oscillations, mutual information and synchronization in perception and action. - Zhixian Han
A spatial map: a propitious choice for constraining the binding problem. - Stephan Lochner, Daniel Honerkamp, Abhinav Valada, Andrew D. Straw:
Reinforcement learning as a robotics-inspired framework for insect navigation: from spatial representations to neural implementation. - Kai Cheng:
Prediction of emotion distribution of images based on weighted K-nearest neighbor-attention mechanism. - Takeshi Nakashima, Shunsuke Otake, Akira Taniguchi, Katsuyoshi Maeyama, Lotfi El Hafi, Tadahiro Taniguchi, Hiroshi Yamakawa:
Hippocampal formation-inspired global self-localization: quick recovery from the kidnapped robot problem from an egocentric perspective. - Khalid Alharkan, Nahid Sultana, Noura Al Mulhim, Assim M. Alabdulkader, Noor Alsafwani, Marwah Barnawi, Khulud Alasqah, Anhar Bazuhair, Zainab Alhalwah, Dina Bokhamseen, Sumayh S. Aljameel, Sultan Alamri
Artificial intelligence approaches for early detection of neurocognitive disorders among older adults. - Kyle Daruwalla
Information bottleneck-based Hebbian learning rule naturally ties working memory and synaptic updates. - Chunxiao Lin, Muhammad Farhan Azmine, Yibin Liang, Yang Yi:
Leveraging neuro-inspired AI accelerator for high-speed computing in 6G networks. - Yuanhao He, Geyang Xiao, Jun Zhu, Tao Zou, Yuan Liang:
Reinforcement learning-based SDN routing scheme empowered by causality detection and GNN. - Beata Sokolowska
A machine learning approach to evaluate the impact of virtual balance/cognitive training on fall risk in older women. - Giulio Sandini, Alessandra Sciutti, Pietro Morasso:
Artificial cognition vs. artificial intelligence for next-generation autonomous robotic agents. - Jessica L. Verpeut, Marlies Oostland:
The significance of cerebellar contributions in early-life through aging. - Rosanna Turrisi, Alessandro Verri, Annalisa Barla:
Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices. - Wenjie Jin, Xinxin Zhu, Lifeng Qian, Cunshu Wu, Fan Yang, Daowei Zhan, Zhaoyin Kang, Kaitao Luo, Dianhuai Meng, Guangxu Xu:
Electroencephalogram-based adaptive closed-loop brain-computer interface in neurorehabilitation: a review. - Na Liu, Ye Yuan, Guodong Wu, Sai Zhang, Jie Leng, Lihong Wan:
Multi-label remote sensing classification with self-supervised gated multi-modal transformers. - Yoshihiro Yonemura, Yuichi Katori:
Dynamical predictive coding with reservoir computing performs noise-robust multi-sensory speech recognition. - Yin Li, Zilong Zhong:
Decoding the application of deep learning in neuroscience: a bibliometric analysis. - Lei Deng, Huajin Tang, Kaushik Roy:
Editorial: Understanding and bridging the gap between neuromorphic computing and machine learning, volume II. - Kuo-Yang Huang, Ching-Hsiung Lin, Shu-Hua Chi, Ying-Lin Hsu, Jia-Lang Xu:
Optimizing extubation success: a comparative analysis of time series algorithms and activation functions. - Tianyi Zheng, Masato Sugino, Yasuhiko Jimbo, G. Bard Ermentrout, Kiyoshi Kotani:
Analyzing top-down visual attention in the context of gamma oscillations: a layer- dependent network-of- networks approach. - Audrey J. Sederberg, Aurélie Pala, Garrett B. Stanley:
Latent dynamics of primary sensory cortical population activity structured by fluctuations in the local field potential. - Stein Acker, Jinqing Liang, Ninet Sinaii, Kristen Wingert, Atsuko Kurosu, Sunder Rajan, Sara Inati, William H. Theodore, Nadia Biassou:
Modeling functional connectivity changes during an auditory language task using line graph neural networks. - Houmem Slimi, Ala Balti, Sabeur Abid, Mounir Sayadi:
A combinatorial deep learning method for Alzheimer's disease classification-based merging pretrained networks. - Di Gao, Guanghao Yang, Jiarun Shen, Fang Wu, Chao Ji:
Multi-scale asynchronous correlation and 2D convolutional autoencoder for adolescent health risk prediction with limited fMRI data. - Kauê T. N. Duarte, Abhijot S. Sidhu, Murilo Costa de Barros, David G. Gobbi, Cheryl R. McCreary, Feryal Saad, Richard Camicioli, Eric E. Smith, Mariana P. Bento, Richard Frayne:
Multi-stage semi-supervised learning enhances white matter hyperintensity segmentation. - Shtwai Alsubai, Abdullah Alqahtani, Abed Alanazi, Mohemmed Sha, Abdu Gumaei:
Facial emotion recognition using deep quantum and advanced transfer learning mechanism. - Noemi Montobbio, Roberto Maffulli, Anees Abrol, Pablo Martínez-Cañada:
Editorial: Computational modeling and machine learning methods in neurodevelopment and neurodegeneration: from basic research to clinical applications. - Liao Xuanzhi, Abeer Hakeem, Linda Mohaisen, Muhammad Umer, Muhammad Attique Khan, Shrooq Alsenan, Shtwai Alsubai, Nisreen Innab:
BrainNet: an automated approach for brain stress prediction utilizing electrodermal activity signal with XLNet model. - Mansoor Syed Raza, Mohsin Murtaza, Chi-Tsun Cheng, Muhana Magboul Ali Muslam, Bader M. Albahlal:
Systematic review of cognitive impairment in drivers through mental workload using physiological measures of heart rate variability. - Mahsa Dibaji, Johanna Ospel, Roberto Souza, Mariana P. Bento:
Sex differences in brain MRI using deep learning toward fairer healthcare outcomes. - Asma Aldrees, Stephen Ojo, James Wanliss, Muhammad Umer, Muhammad Attique Khan, Bayan Alabdullah, Shtwai Alsubai, Nisreen Innab:
Data-centric automated approach to predict autism spectrum disorder based on selective features and explainable artificial intelligence. - Eric Chalmers, Santina Duarte, Xena Al-Hejji, Daniel Devoe, Aaron J. Gruber, Robert J. McDonald:
Simulated synapse loss induces depression-like behaviors in deep reinforcement learning.
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