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  • Frontiers in Computational Neuroscience: 2023, vol: 17, issue:
  • 1)- W Tecumseh Fitch. Cellular computation and cognition. Frontiers in computational neuroscience. 2023, 17: 1107876
    Cited : 2
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  • 2)- Mao Ming, Na Lu, Wei Qian. Evaluation of computed tomography images under deep learning in the diagnosis of severe pulmonary infection. Frontiers in computational neuroscience. 2023, 17: 1115167
    Cited : 0
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  • 3)- Diego Carvalho do Nascimento, José Roberto Santos da Silva, Anderson Ara, João Ricardo Sato, Lilia Costa. Hyperscanning fNIRS data analysis using multiregression dynamic models: an illustration in a violin duo. Frontiers in computational neuroscience. 2023, 17: 1132160
    Cited : 2
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  • 4)- Chris Fietkiewicz, Robert A McDougal, David Corrales Marco, Hillel J Chiel, Peter J Thomas. Tutorial: using NEURON for neuromechanical simulations. Frontiers in computational neuroscience. 2023, 17: 1143323
    Cited : 0
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  • 5)- Yushan Yin. Prediction and analysis of time series data based on granular computing. Frontiers in computational neuroscience. 2023, 17: 1192876
    Cited : 1
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  • 6)- Abubakar Sulaiman Gezawa, Chibiao Liu, Heming Jia, Y A Nanehkaran, Mubarak S Almutairi, Haruna Chiroma. An improved fused feature residual network for 3D point cloud data. Frontiers in computational neuroscience. 2023, 17: 1204445
    Cited : 0
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  • 7)- Diana Stanciu. Consciousness, 4E cognition and Aristotle: a few conceptual and historical aspects. Frontiers in computational neuroscience. 2023, 17: 1204602
    Cited : 0
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  • 8)- Matthias Brucklacher, Sander M Bohté, Jorge F Mejias, Cyriel M A Pennartz. Local minimization of prediction errors drives learning of invariant object representations in a generative network model of visual perception. Frontiers in computational neuroscience. 2023, 17: 1207361
    Cited : 5
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  • 9)- 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. Frontiers in computational neuroscience. 2023, 17: 1211096
    Cited : 1
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  • 10)- 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. Frontiers in computational neuroscience. 2023, 17: 1214793
    Cited : 1
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  • 11)- Sanaullah, Shamini Koravuna, Ulrich Rückert, Thorsten Jungeblut. Exploring spiking neural networks: a comprehensive analysis of mathematical models and applications. Frontiers in computational neuroscience. 2023, 17: 1215824
    Cited : 8
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  • 12)- 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. Frontiers in computational neuroscience. 2023, 17: 1218707
    Cited : 1
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  • 13)- Ettore Cerracchio, Steven Miletić, Birte U Forstmann. Modelling decision-making biases. Frontiers in computational neuroscience. 2023, 17: 1222924
    Cited : 0
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  • 14)- Emmanuel Calvet, Jean Rouat, Bertrand Reulet. Excitatory/inhibitory balance emerges as a key factor for RBN performance, overriding attractor dynamics. Frontiers in computational neuroscience. 2023, 17: 1223258
    Cited : 1
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  • 15)- Ruben Schoeters, Thomas Tarnaud, Laila Weyn, Wout Joseph, Robrecht Raedt, Emmeric Tanghe. Quantitative analysis of the optogenetic excitability of CA1 neurons. Frontiers in computational neuroscience. 2023, 17: 1229715
    Cited : 1
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  • 16)- Huilin Zhao, Sungchil Yang, Chi Chung Alan Fung. Short-term postsynaptic plasticity facilitates predictive tracking in continuous attractors. Frontiers in computational neuroscience. 2023, 17: 1231924
    Cited : 0
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  • 17)- Jian Cui, Liqiang Yuan, Zhaoxiang Wang, Ruilin Li, Tianzi Jiang. Towards best practice of interpreting deep learning models for EEG-based brain computer interfaces. Frontiers in computational neuroscience. 2023, 17: 1232925
    Cited : 3
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  • 18)- Hejun Zhao, Xinying Wang, Yuhao Shi. The effect of hearing impairment and social participation on depressive symptoms in older adults: a cross-lagged analysis. Frontiers in computational neuroscience. 2023, 17: 1240587
    Cited : 4
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  • 19)- Alexandre Reynaud, Seung Hyun Min. Spatial frequency channels depend on stimulus bandwidth in normal and amblyopic vision: an exploratory factor analysis. Frontiers in computational neuroscience. 2023, 17: 1241455
    Cited : 2
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  • 20)- Yuri Dabaghian. Grid cells, border cells, and discrete complex analysis. Frontiers in computational neuroscience. 2023, 17: 1242300
    Cited : 0
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  • 21)- Konstantinos Poulakis, Eric Westman. Clustering and disease subtyping in Neuroscience, toward better methodological adaptations. Frontiers in computational neuroscience. 2023, 17: 1243092
    Cited : 4
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  • 22)- Zhong Wang, Lanfang Lei, Peibei Shi. Smoking behavior detection algorithm based on YOLOv8-MNC. Frontiers in computational neuroscience. 2023, 17: 1243779
    Cited : 8
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  • 23)- Mahtab Mehrabbeik, Sajad Jafari, Matjaž Perc. Synchronization in simplicial complexes of memristive Rulkov neurons. Frontiers in computational neuroscience. 2023, 17: 1248976
    Cited : 19
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  • 24)- Lin Shu, Matthieu Perreira Da Silva, Lulu Zhang, Chee-Kong Chui. Editorial: Psychological and cognitive evaluation and intervention based on physiological and behavioral computing. Frontiers in computational neuroscience. 2023, 17: 1249197
    Cited : 0
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  • 25)- Adrien Fois, Bernard Girau. Enhanced representation learning with temporal coding in sparsely spiking neural networks. Frontiers in computational neuroscience. 2023, 17: 1250908
    Cited : 0
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  • 26)- Hui Wei, Fushun Li. The storage capacity of a directed graph and nodewise autonomous, ubiquitous learning. Frontiers in computational neuroscience. 2023, 17: 1254355
    Cited : 0
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  • 27)- Melissa Monti, Sophie Molholm, Cristiano Cuppini. Atypical development of causal inference in autism inferred through a neurocomputational model. Frontiers in computational neuroscience. 2023, 17: 1258590
    Cited : 0
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  • 28)- Ming Li, Jun Yang, Wenli Tian, Xiangyu Ju. Fusing the spatial structure of electroencephalogram channels can increase the individualization of the functional connectivity network. Frontiers in computational neuroscience. 2023, 17: 1263710
    Cited : 0
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  • 29)- 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. Frontiers in computational neuroscience. 2023, 17: 1265958
    Cited : 3
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  • 30)- Chengjia Wang, Heye Zhang, Georgios Papanastasiou, Guang Yang. Editorial: Advances in machine learning methods facilitating collaborative image-based decision making for neuroscience. Frontiers in computational neuroscience. 2023, 17: 1267489
    Cited : 0
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  • 31)- Alice Plebe, Mauro Da Lio. Bio-inspired circular latent spaces to estimate objects' rotations. Frontiers in computational neuroscience. 2023, 17: 1268116
    Cited : 0
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  • 32)- Yu Xie, Tingting Qiao, Yizhuang Xie, He Chen. Soft error mitigation and recovery of SRAM-based FPGAs using brain-inspired hybrid-grained scrubbing mechanism. Frontiers in computational neuroscience. 2023, 17: 1268374
    Cited : 4
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  • 33)- Yizhou Xie, Sadra Sadeh. Computational assessment of visual coding across mouse brain areas and behavioural states. Frontiers in computational neuroscience. 2023, 17: 1269019
    Cited : 0
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  • 34)- Zhiri Tang, Ming Li, Ruihan Hu, Kapal Dev. Editorial: Advanced deep learning approaches for medical neuroimaging data with limitation. Frontiers in computational neuroscience. 2023, 17: 1272448
    Cited : 0
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  • 35)- 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 model of neurodegeneration of the visual system. Frontiers in computational neuroscience. 2023, 17: 1274824
    Cited : 0
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  • 36)- Guitao Cao, Ye Duan, Wenming Cao. Editorial: Deep neural network based decision-making interpretability. Frontiers in computational neuroscience. 2023, 17: 1276998
    Cited : 0
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  • 37)- Chunyu Zhang, Fang Xu, Chengdong Wu, Jinzhao Li. Lightweight semantic segmentation network with configurable context and small object attention. Frontiers in computational neuroscience. 2023, 17: 1280640
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  • 38)- . Erratum: Covariance properties under natural image transformations for the generalised Gaussian derivative model for visual receptive fields. Frontiers in computational neuroscience. 2023, 17: 1282093
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  • 39)- Xin Li, Shuo Wang. Simple and complex cells revisited: toward a selectivity-invariance model of object recognition. Frontiers in computational neuroscience. 2023, 17: 1282828
    Cited : 0
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  • 40)- Deepika Koundal, Baiyuan Ding. Editorial: Computational intelligence for signal and image processing. Frontiers in computational neuroscience. 2023, 17: 1284600
    Cited : 1
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  • 41)- Wei Liu, Fei Teng, Huiyu Xiao, Chen Wang. Containment control of multiple unmanned surface vessels with NN control via reconfigurable hierarchical topology. Frontiers in computational neuroscience. 2023, 17: 1284966
    Cited : 0
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  • 42)- Nicolas Ivanov, Tom Chau. Corrigendum: Riemannian geometry-based metrics to measure and reinforce user performance changes during brain-computer interface user training. Frontiers in computational neuroscience. 2023, 17: 1286681
    Cited : 0
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  • 43)- Shujuan Cao, Xiaoming Wang, Zhonglin Ye, Mingyuan Li, Haixing Zhao. LGNN: a novel linear graph neural network algorithm. Frontiers in computational neuroscience. 2023, 17: 1288842
    Cited : 1
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  • 44)- Sou Nobukawa, Tetsuya Takahashi. Editorial: Perspectives in brain-network dynamics in computational psychiatry. Frontiers in computational neuroscience. 2023, 17: 1290089
    Cited : 0
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  • 45)- 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. Frontiers in computational neuroscience. 2023, 17: 1291744
    Cited : 0
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  • 46)- Byounghwa Lee, Jung-Hoon Lee, Sungyup Lee, Cheol Ho Kim. Burst and Memory-aware Transformer: capturing temporal heterogeneity. Frontiers in computational neuroscience. 2023, 17: 1292842
    Cited : 0
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  • 47)- Yong Yang, Feng Li, Jing Luo, Xiaolin Qin, Dong Huang. Epileptic focus localization using transfer learning on multi-modal EEG. Frontiers in computational neuroscience. 2023, 17: 1294770
    Cited : 1
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  • 48)- 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. Frontiers in computational neuroscience. 2023, 17: 1305169
    Cited : 2
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  • 49)- Hu Zhang, Meng Zhao, Min Zhang, Sheng Lin, Youqiang Dong, Hai Wang. A combination network of CNN and transformer for interference identification. Frontiers in computational neuroscience. 2023, 17: 1309694
    Cited : 2
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  • 50)- Francisco J Esteban, Antonio Ibáñez-Molina, Sergio Iglesias-Parro, Juan Ruiz de Miras, Fernando Soler-Toscano. Editorial: Complex network dynamics in consciousness. Frontiers in computational neuroscience. 2023, 17: 1310392
    Cited : 0
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