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Frontiers in Computational Neuroscience, Volume 17
Volume 17, 2023
- Nicolas Ivanov
, Tom Chau:
Riemannian geometry-based metrics to measure and reinforce user performance changes during brain-computer interface user training. - Yuanxiang Gao:
A computational model of learning flexible navigation in a maze by layout-conforming replay of place cells. - Ze Zhang, Dandan Li, Yao Zhao, Zhihao Fan, Jie Xiang, Xuedong Wang, Xiaohong Cui:
A flexible speller based on time-space frequency conversion SSVEP stimulation paradigm under dry electrode. - Mohamed Watfa, Alberto García Ortiz
Energy-based analog neural network framework. - Yang Zhang, Lihua Xie, Yuheng Li, Yuan Li:
A neural learning approach for simultaneous object detection and grasp detection in cluttered scenes. - Eugen-Richard Ardelean
Improved space breakdown method - A robust clustering technique for spike sorting. - Zhizhuo Yang, Gabriel J. Diaz, Brett R. Fajen, Reynold Bailey, Alexander G. Ororbia II:
A neural active inference model of perceptual-motor learning. - Hao Xu, Ji-Wei Xu, Long-Xiang Yi, Yu-Ting Yuan, Zheng-Qun Cai:
Performance control study of interleaved meltblown non-woven materials based on statistical analysis and predictive modeling. - Zhen Zhao
Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review. - Hao Fang
Predictive neuromodulation of cingulo-frontal neural dynamics in major depressive disorder using a brain-computer interface system: A simulation study. - Ekaterina Kutafina, Alina Troglio, Roberto de Col, Rainer Röhrig, Peter Rossmanith, Barbara Namer:
Corrigendum: Decoding neuropathic pain: Can we predict fluctuations of propagation speed in stimulated peripheral nerve? - Jung H. Lee, Yoonsuck Choe, Salva Ardid, Reza Abbasi-Asl, Michelle McCarthy, Brian Hu:
Editorial: Functional microcircuits in the brain and in artificial intelligent systems. - Yan Ma, Yiou Tang, Yang Zeng, Tao Ding, Yifu Liu:
An N400 identification method based on the combination of Soft-DTW and transformer. - Xinquan Liu, Kang Du, Si Lin, Yan Wang:
Deep learning on lateral flow immunoassay for the analysis of detection data. - Tomás Garnier Artiñano
Biophysical parameters control signal transfer in spiking network. - Maura Mezzetti, Colleen P. Ryan, Priscilla Balestrucci
Bayesian hierarchical models and prior elicitation for fitting psychometric functions. - Md Kafiul Islam, Amir Rastegarnia:
Editorial: Recent advances in EEG (non-invasive) based BCI applications. - Matthew Ricci, Junkyung Kim, Fredrik Johansson:
A computational passage-of-time model of the cerebellar Purkinje cell in eyeblink conditioning. - Hong Fei, Qianshan Wang, Fangxin Shang, Wenyi Xu, Xiaofeng Chen, Yifei Chen, Haifang Li:
HC-Net: A hybrid convolutional network for non-human primate brain extraction. - Caroline A. Lea-Carnall
Noise-modulated multistable synapses in a Wilson-Cowan-based model of plasticity. - Hongwei Tan
Editorial: Neuro-inspired sensing and computing: Novel materials, devices, and systems. - Guo Zhou, Fahui Miao, Zhonghua Tang, Yongquan Zhou, Qifang Luo:
Kohonen neural network and symbiotic-organism search algorithm for intrusion detection of network viruses. - Joseph A. Hazani:
Sampling of environmental electromagnetic frequencies demonstrates the evolution of the nervous system toward social cognitive reflexes. - Yudan Ren, Huan Liu, Shu Zhang, Jinglei Lv
Editorial: Computational modeling methods for naturalistic neuroimaging data. - Hui Ye, Vincent Hall, Jenna Hendee:
Improving focality and consistency in micromagnetic stimulation. - Mahtab Mehrabbeik, Sajad Jafari
Synchronization in simplicial complexes of memristive Rulkov neurons. - Yushan Yin:
Prediction and analysis of time series data based on granular computing. - Guitao Cao, Ye Duan, Wenming Cao:
Editorial: Deep neural network based decision-making interpretability. - Daya Shankar Gupta, Arpan Banerjee, Federica Piras, Dipanjan Roy:
Editorial: Temporal structure of neural processes coupling sensory, motor and cognitive functions of the brain, volume II. - Shiming Zheng, Xiaopei Zhang, Panpan Song, Yue Hu, Xi Gong, Xiaoling Peng:
Complexity-based graph convolutional neural network for epilepsy diagnosis in normal, acute, and chronic stages. - Zhaohua Lu, Tingwen Wang, Ruirui Zhang:
Editorial: Affective brain-computer interface in emotion artificial intelligence and medical engineering. - Skirmantas Janusonis, Justin H. Haiman, Ralf Metzler, Thomas Vojta:
Predicting the distribution of serotonergic axons: a supercomputing simulation of reflected fractional Brownian motion in a 3D-mouse brain model. - Aisha Aamir, Minija Tamosiunaite, Florentin Wörgötter:
Interpreting the decisions of CNNs via influence functions. - Retraction: Deep learning for autism diagnosis and facial analysis in children.
- Zhiquan He, Donghong Zheng, Hengyou Wang:
Corrigendum: Accurate few-shot object counting with Hough matching feature enhancement. - Luiza Filipis, Marco Canepari
Can neuron modeling constrained by ultrafast imaging data extract the native function of ion channels? - Tony Lindeberg
Covariance properties under natural image transformations for the generalised Gaussian derivative model for visual receptive fields. - Kenneth Barkdoll, Yuhua Lu, Victor J. Barranca
New insights into binocular rivalry from the reconstruction of evolving percepts using model network dynamics. - Chunyu Zhang, Fang Xu, Chengdong Wu, Jinzhao Li:
Lightweight semantic segmentation network with configurable context and small object attention. - Huilin Zhao
Short-term postsynaptic plasticity facilitates predictive tracking in continuous attractors. - Jasmine A. Moore, Matthias Wilms, Alejandro Gutierrez, Zahinoor Ismail, Kayson Fakhar, Fatemeh Hadaeghi, Claus C. Hilgetag, Nils D. Forkert:
Simulation of neuroplasticity in a CNN-based in-silico model of neurodegeneration of the visual system. - Alyssa A. Brewer, Brian Barton:
Cortical field maps across human sensory cortex. - Ik Hwan Jeon, Taegon Kim:
Distinctive properties of biological neural networks and recent advances in bottom-up approaches toward a better biologically plausible neural network. - Jackson Rozells, Jeffrey P. Gavornik:
Optogenetic manipulation of inhibitory interneurons can be used to validate a model of spatiotemporal sequence learning. - Zijun Wan, Tengjun Liu, Xingchen Ran, Pengfu Liu, Weidong Chen, Shaomin Zhang:
The influence of non-stationarity of spike signals on decoding performance in intracortical brain-computer interface: a simulation study. - James Joseph Wright, Paul David Bourke:
The mesoanatomy of the cortex, minimization of free energy, and generative cognition. - Lars T. Boenke, Abdelhafid Zeghbib, Myra Spiliopoulou, David Alais, Frank W. Ohl:
Prestimulus α/β power in temporal-order judgments: individuals differ in direction of modulation but show consistency over auditory and visual tasks. - Ruben Schoeters
Quantitative analysis of the optogenetic excitability of CA1 neurons. - Florian Röhrbein
Editorial: The embodied brain: computational mechanisms of integrated sensorimotor interactions with a dynamic environment, volume II. - Diego Carvalho do Nascimento
Hyperscanning fNIRS data analysis using multiregression dynamic models: an illustration in a violin duo. - Zhiquan He, Donghong Zheng, Hengyou Wang:
Accurate few-shot object counting with Hough matching feature enhancement. - Zhiquan He, Lujun Zhang, Hengyou Wang:
An initial prediction and fine-tuning model based on improving GCN for 3D human motion prediction. - Duho Sihn, Oh-Sang Kwon, Sung-Phil Kim:
Robust and efficient representations of dynamic stimuli in hierarchical neural networks via temporal smoothing. - Zhiri Tang, Ming Li
Editorial: Advanced deep learning approaches for medical neuroimaging data with limitation. - Amir Masominia, Laurie E. Calvet
Online spike-based recognition of digits with ultrafast microlaser neurons. - Yuri Dabaghian:
Grid cells, border cells, and discrete complex analysis. - Yizhou Xie
Computational assessment of visual coding across mouse brain areas and behavioural states. - Xin Li, Shuo Wang:
Toward a computational theory of manifold untangling: from global embedding to local flattening. - Matthias Brucklacher, Sander M. Bohté, Jorge F. Mejías
Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception. - Hu Zhang, Meng Zhao, Min Zhang, Sheng Lin
A combination network of CNN and transformer for interference identification. - Alessia Celeghin, Alessio Borriero
Convolutional neural networks for vision neuroscience: significance, developments, and outstanding issues. - Francisco José Esteban, Antonio José Ibañez-Molina, Sergio Iglesias-Parro, Juan Ruiz de Miras
Editorial: Complex network dynamics in consciousness. - Ramashish Gaurav, Terrence C. Stewart, Yang Yi:
Reservoir based spiking models for univariate Time Series Classification. - Yanfei Lu, Shiqing Zhang, Futian Weng
Approximate solutions to several classes of Volterra and Fredholm integral equations using the neural network algorithm based on the sine-cosine basis function and extreme learning machine. - Christopher Ivan Hernandez, Shaida Kargarnovin, Sara Hejazi, Waldemar Karwowski
Examining electroencephalogram signatures of people with multiple sclerosis using a nonlinear dynamics approach: a systematic review and bibliographic analysis. - Carlos Trenado, Ignacio Méndez Balbuena, Alena Damborská
Editorial: The new frontier in brain network physiology: from temporal dynamics to the principles of integration in physiological brain networks. - Gaurav Dhiman, Wattana Viriyasitavat, Atulya K. Nagar:
Editorial: Machine and deep-learning for computational neuroscience. - Mao Ming, Na Lu, Wei Qian:
Evaluation of computed tomography images under deep learning in the diagnosis of severe pulmonary infection. - Yuichiro Omura, Hiroki Togo, Kohei Kaminishi
Analysis of abnormal posture in patients with Parkinson's disease using a computational model considering muscle tones. - Melissa Monti
Atypical development of causal inference in autism inferred through a neurocomputational model. - E. Srinivasan
Editorial: Decoding novel therapeutic targets, biomarkers, and drug development strategies against neurodegenerative disorders - A multi-omics approach. - Kevin Kauth, Tim Stadtmann, Vida Sobhani
neuroAIx-Framework: design of future neuroscience simulation systems exhibiting execution of the cortical microcircuit model 20× faster than biological real-time. - Yong Yang, Xiaolin Qin, Han Wen, Feng Li, Xiaoguang Lin:
Patient-specific approach using data fusion and adversarial training for epileptic seizure prediction. - Hejun Zhao, Xinying Wang, Yuhao Shi:
The effect of hearing impairment and social participation on depressive symptoms in older adults: a cross-lagged analysis. - Omid Madani:
An information theoretic score for learning hierarchical concepts. - Sanaullah
Exploring spiking neural networks: a comprehensive analysis of mathematical models and applications. - Emmanuel Calvet, Jean Rouat, Bertrand Reulet:
Excitatory/inhibitory balance emerges as a key factor for RBN performance, overriding attractor dynamics. - Ronald W. Ditullio, Chetan Parthiban, Eugenio Piasini, Pratik Chaudhari, Vijay Balasubramanian, Yale E. Cohen:
Time as a supervisor: temporal regularity and auditory object learning. - Pratik Purohit, Prasun Dutta, Prasun K. Roy:
Empirically validated theoretical analysis of visual-spatial perception under change of nervous system arousal. - Zhiquan He, Lujun Zhang, Hengyou Wang:
Corrigendum: An initial prediction and fine-tuning model based on improving GCN for 3D human motion prediction. - Jihoon Park, Yuji Kawai, Minoru Asada:
Spike timing-dependent plasticity under imbalanced excitation and inhibition reduces the complexity of neural activity. - Shiva Sanati, Modjtaba Rouhani, Ghosheh Abed Hodtani:
Information-theoretic analysis of Hierarchical Temporal Memory-Spatial Pooler algorithm with a new upper bound for the standard information bottleneck method. - Cheng Wan, Jiyi Fang, Xiao Hua, Lu Chen, Shaochong Zhang, Weihua Yang
Automated detection of myopic maculopathy using five-category models based on vision outlooker for visual recognition. - Pau Vilimelis Aceituno
Learning cortical hierarchies with temporal Hebbian updates. - Lin Shu, Matthieu Perreira Da Silva, Lulu Zhang, Chee-Kong Chui:
Editorial: Psychological and cognitive evaluation and intervention based on physiological and behavioral computing. - Ming Li, Lihua He, Zhuo Zhang, Zhen Li, Xuan Zhu, Chong Jiao, Dewen Hu:
The decoupling between hemodynamic parameters and neural activity implies a complex origin of spontaneous brain oscillations. - Joseph Schmalz, Rachel V. Quinarez, Mayuresh V. Kothare, Gautam Kumar:
Controlling neocortical epileptic seizures using forced temporal spike-time stimulation: an in silico computational study. - Martin Justinus Rosenfelder
Stability of mental motor-imagery classification in EEG depends on the choice of classifier model and experiment design, but not on signal preprocessing. - Zhong Wang
Smoking behavior detection algorithm based on YOLOv8-MNC. - Matteo Priorelli
Flexible intentions: An Active Inference theory. - Erratum: Covariance properties under natural image transformations for the generalised Gaussian derivative model for visual receptive fields.
- Byounghwa Lee
Burst and Memory-aware Transformer: capturing temporal heterogeneity. - Ettore Cerracchio, Steven Miletic, Birte U. Forstmann:
Modelling decision-making biases. - Diana Stanciu
Consciousness, 4E cognition and Aristotle: a few conceptual and historical aspects. - Hui Wei, Fushun Li:
The storage capacity of a directed graph and nodewise autonomous, ubiquitous learning. - Wei Liu, Fei Teng, Huiyu Xiao, Chen Wang:
Containment control of multiple unmanned surface vessels with NN control via reconfigurable hierarchical topology. - Jian Cui, Liqiang Yuan, Zhaoxiang Wang, Ruilin Li, Tianzi Jiang:
Towards best practice of interpreting deep learning models for EEG-based brain computer interfaces. - Yong Yang, Feng Li, Jing Luo, Xiaolin Qin, Dong Huang:
Epileptic focus localization using transfer learning on multi-modal EEG. - Md. Abu Bakr Siddique, Yan Zhang, Hongyu An
Monitoring time domain characteristics of Parkinson's disease using 3D memristive neuromorphic system. - Retraction: Spiking correlation analysis of synchronous spikes evoked by acupuncture mechanical stimulus.
- Nicolas Ivanov, Tom Chau:
Corrigendum: Riemannian geometry-based metrics to measure and reinforce user performance changes during brain-computer interface user training. - Yu Xie
Soft error mitigation and recovery of SRAM-based FPGAs using brain-inspired hybrid-grained scrubbing mechanism. - Xianli Liu, Guo Zhou, Yongquan Zhou, Qifang Luo:
Functional extreme learning machine. - Sorinel A. Oprisan, Xandre Clementsmith, Tamas Tompa, Antonieta Lavin:
Empirical mode decomposition of local field potential data from optogenetic experiments. - Sou Nobukawa, Tetsuya Takahashi:
Editorial: Perspectives in brain-network dynamics in computational psychiatry. - Adrien Fois, Bernard Girau:
Enhanced representation learning with temporal coding in sparsely spiking neural networks. - Alice Plebe, Mauro Da Lio:
Bio-inspired circular latent spaces to estimate objects' rotations. - Ming Li, Jun Yang, Wenli Tian, Xiangyu Ju:
Fusing the spatial structure of electroencephalogram channels can increase the individualization of the functional connectivity network. - Xin Li, Shuo Wang:
Simple and complex cells revisited: toward a selectivity-invariance model of object recognition. - W. Tecumseh Fitch:
Cellular computation and cognition. - Deepak Gupta, Utku Kose
Editorial: Computational methods for neuroimaging: Challenges and future trends. - Shujuan Cao, Xiaoming Wang, Zhonglin Ye, Mingyuan Li, Haixing Zhao:
LGNN: a novel linear graph neural network algorithm. - Anna Maxion, Ekaterina Kutafina, Maike F. Dohrn, Pierre Sacré, Angelika Lampert, Jenny Tigerholm, Barbara Namer:
A modelling study to dissect the potential role of voltage-gated ion channels in activity-dependent conduction velocity changes as identified in small fiber neuropathy patients. - Chris Fietkiewicz, Robert A. McDougal, David Corrales Marco, Hillel J. Chiel, Peter J. Thomas:
Tutorial: using NEURON for neuromechanical simulations. - Konstantinos Poulakis, Eric Westman:
Clustering and disease subtyping in Neuroscience, toward better methodological adaptations. - Rachel St. Clair, L. Andrew Coward, Susan Schneider:
Leveraging conscious and nonconscious learning for efficient AI. - Abubakar Sulaiman Gezawa, Chibiao Liu, Heming Jia, Yaser Ahangari Nanehkaran
An improved fused feature residual network for 3D point cloud data. - Chengjia Wang, Heye Zhang, Georgios Papanastasiou, Guang Yang:
Editorial: Advances in machine learning methods facilitating collaborative image-based decision making for neuroscience. - Bojie Yang, Zhuoqin Yang, Lijie Hao:
Dynamics of a model for the degradation mechanism of aggregated α-synuclein in Parkinson's disease. - Saurabh R. Gandhi, William G. P. Mayner
A survey of neurophysiological differentiation across mouse visual brain areas and timescales. - Deepika Koundal
Editorial: Computational intelligence for signal and image processing. - Alexandre Reynaud, Seung-hyun Min:
Spatial frequency channels depend on stimulus bandwidth in normal and amblyopic vision: an exploratory factor analysis. - Yong Yang, Feng Li, Xiaolin Qin, Han Wen, Xiaoguang Lin, Dong Huang:
Feature separation and adversarial training for the patient-independent detection of epileptic seizures. - Justinas J. Dainauskas, Paola Vitale, Sebastien Moreno, Hélène Marie, Michele Migliore, Ausra Saudargiene:
Altered synaptic plasticity at hippocampal CA1-CA3 synapses in Alzheimer's disease: integration of amyloid precursor protein intracellular domain and amyloid beta effects into computational models. - Edward W. Large, Irán R. Román
Dynamic models for musical rhythm perception and coordination. - Qiang Xu, Haibo Zan, Shengwei Ji:
A lightweight mixup-based short texts clustering for contrastive learning. - M. Raheel Bhutta, Muhammad Umair Ali, Amad Zafar, Kwang Su Kim, Jong Hyuk Byun
Artificial neural network models: implementation of functional near-infrared spectroscopy-based spontaneous lie detection in an interactive scenario. - Qiang Xu, Hao Gu, Shengwei Ji:
Text clustering based on pre-trained models and autoencoders. - Joseph Geraci, Ravi Bhargava, Bessi Qorri, Paul Leonchyk, Douglas Cook, Moses Cook
Machine learning hypothesis-generation for patient stratification and target discovery in rare disease: our experience with Open Science in ALS. - William H. Nesse, Kelsey L. Clark, Behrad Noudoost:
Information representation in an oscillating neural field model modulated by working memory signals. - Azzurra Invernizzi, Stefano Renzetti, Elza Rechtman, Claudia Ambrosi, Lorella Mascaro, Daniele Corbo
Neuro-environmental interactions: a time sensitive matter. - Thanos Manos, Sandra Diaz-Pier, Igor Fortel, Ira Driscoll, Liang Zhan, Alex D. Leow:
Enhanced simulations of whole-brain dynamics using hybrid resting-state structural connectomes. - Rahul Biswas
Causal functional connectivity in Alzheimer's disease computed from time series fMRI data. - James S. K. Tee, Giorgio Matteo Vitetta:
Editorial: Advances in Shannon-based communications and computations approaches to understanding information processing in the brain. - Na Liu, Jiaqi Wang, Yongtong Zhu, Lihong Wan, Qingdu Li:
Improving imbalance classification via ensemble learning based on two-stage learning. - Marios G. Krokidis, Georgios N. Dimitrakopoulos, Aristidis G. Vrahatis, Themis P. Exarchos, Panagiotis Vlamos:
Challenges and limitations in computational prediction of protein misfolding in neurodegenerative diseases. - Konstantina Skolariki, Panagiotis Vlamos:
Exploring gene-drug interactions for personalized treatment of post-traumatic stress disorder. - Retraction: Cerebral microbleed detection via convolutional neural network and extreme learning machine.
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