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ORCIDFrontiers 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, Gilles Sassatelli:
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, Ana-Maria Ichim, Mihaela Dînsoreanu, Raul Cristian Muresan:
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, Joon Huang Chuah, Khin Wee Lai, Chee-Onn Chow, Munkhjargal Gochoo, Samiappan Dhanalakshmi, Na Wang, Wei Bao, Xiang Wu:
Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review. - Hao Fang, Yuxiao Yang:
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, Vafa Andalibi, Iiris Atula, Matteo Maestri, Simo Vanni:
Biophysical parameters control signal transfer in spiking network. - Maura Mezzetti, Colleen P. Ryan, Priscilla Balestrucci, Francesco Lacquaniti, Alessandro Moscatelli:
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, Lisabel I. Tanner, Marcelo A. Montemurro:
Noise-modulated multistable synapses in a Wilson-Cowan-based model of plasticity. - Hongwei Tan, Zhong Sun, Xiaojian Zhu:
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, Matjaz Perc:
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, Sungchil Yang, Chi Chung Alan Fung:
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, Thomas Tarnaud, Laila Weyn, Wout Joseph, Robrecht Raedt, Emmeric Tanghe:
Quantitative analysis of the optogenetic excitability of CA1 neurons. - Florian Röhrbein, Mario Senden:
Editorial: The embodied brain: computational mechanisms of integrated sensorimotor interactions with a dynamic environment, volume II. - Diego Carvalho do Nascimento, José Roberto Santos da Silva, Anderson L. Ara, João Ricardo Sato, Lilia Costa:
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, Ruihan Hu, Kapal Dev:
Editorial: Advanced deep learning approaches for medical neuroimaging data with limitation. - Amir Masominia, Laurie E. Calvet, Simon Thorpe, Sylvain Barbay:
Online spike-based recognition of digits with ultrafast microlaser neurons. - Yuri Dabaghian:
Grid cells, border cells, and discrete complex analysis. - Yizhou Xie, Sadra Sadeh:
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, Cyriel M. A. Pennartz:
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, Youqiang Dong, Hai Wang:
A combination network of CNN and transformer for interference identification. - Alessia Celeghin, Alessio Borriero, Davide Orsenigo, Matteo Diano, Carlos Andrés Méndez Guerrero, Alan Perotti, Giovanni Petri, Marco Tamietto:
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, Fernando Soler-Toscano:
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, Hongli Sun:
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, Amir Hussain, Mufti Mahmud, Mohammad Reza Daliri:
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, Tetsuya Hasegawa, Ryosuke Chiba, Arito Yozu, Kaoru Takakusaki, Mitsunari Abe, Yuji Takahashi, Takashi Hanakawa, Jun Ota:
Analysis of abnormal posture in patients with Parkinson's disease using a computational model considering muscle tones. - Melissa Monti, Sophie Molholm, Cristiano Cuppini:
Atypical development of causal inference in autism inferred through a neurocomputational model. - E. Srinivasan, Siranjeevi Nagaraj, Sakthi Rajendran, R. Rajasekaran:
Editorial: Decoding novel therapeutic targets, biomarkers, and drug development strategies against neurodegenerative disorders - A multi-omics approach. - Kevin Kauth, Tim Stadtmann, Vida Sobhani, Tobias Gemmeke:
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, Shamini Koravuna, Ulrich Rückert, Thorsten Jungeblut:
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, Matilde Tristany Farinha, Reinhard Loidl, Benjamin F. Grewe:
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, Myra Spiliopoulou, Burkhard Hoppenstedt, Rüdiger Pryss, Patrick Fissler, Mario della Piedra Walter, Iris-Tatjana Kolassa, Andreas Bender:
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, Lanfang Lei, Peibei Shi:
Smoking behavior detection algorithm based on YOLOv8-MNC. - Matteo Priorelli, Ivilin Peev Stoianov:
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, Jung-Hoon Lee, Sungyup Lee, Cheol Ho Kim:
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, Tingting Qiao, Yizhuang Xie, He Chen:
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, Victor Hugo C. de Albuquerque:
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, Mubarak Saad Al-Mutairi, Haruna Chiroma:
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, William Marshall, Yazan N. Billeh, Corbett Bennett, Samuel D. Gale, Chris Mochizuki, Joshua H. Siegle, Shawn R. Olsen, Giulio Tononi, Christof Koch, Anton Arkhipov:
A survey of neurophysiological differentiation across mouse visual brain areas and timescales. - Deepika Koundal, BaiYuan Ding:
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, Ji-Chul Kim, Jonathan Cannon, Jesse K. Pazdera, Laurel J. Trainor, John Rinzel, Amitabha Bose:
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, Seung Won Lee:
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, Fanny Sie, Luca Pani:
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, Roberto Gasparotti, Cheuk Y. Tang, Donald R. Smith, Roberto G. Lucchini, Robert O. Wright, Donatella Placidi, Megan K. Horton, Paul Curtin:
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, Suryanarayana Sripada:
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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