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  • LATEST MANUSCRIPTS IN Frontiers in Computational Neuroscience
  • W Tecumseh Fitch. Cellular computation and cognition. Frontiers in computational neuroscience. 2023, 17: 1107876
    Cited : 2
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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • Ettore Cerracchio, Steven Miletić, Birte U Forstmann. Modelling decision-making biases. Frontiers in computational neuroscience. 2023, 17: 1222924
    Cited : 0
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  • 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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  • 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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