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Frontiers in computational neuroscience

Showing results (1-10 of 2,124) with videos related to

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Frontiers in Computational Neuroscience|March 15, 2021
Target Detection Using Ternary Classification During a Rapid Serial Visual Presentation Task Using Magnetoencephalography DataChuncheng Zhang, Shuang Qiu, Shengpei Wang, et al.
Frontiers in Computational Neuroscience|February 28, 2019
Symbolic Modeling of Asynchronous Neural Dynamics Reveals Potential Synchronous Roots for the Emergence of AwarenessPierre Bonzon
Frontiers in Computational Neuroscience|February 28, 2019
Automated Detection of High-Frequency Oscillations in Epilepsy Based on a Convolutional Neural NetworkRui Zuo, Jing Wei, Xiaonan Li, et al.
Frontiers in Computational Neuroscience|July 30, 2019
A Computational Model of Attention Control in Multi-Attribute, Context-Dependent Decision MakingKanghoon Jung, Jaeseung Jeong, Jerald D Kralik
Frontiers in Computational Neuroscience|July 30, 2019
A Game-Theoretical Network Formation Model for <i>C. elegans</i> Neural NetworkMohamad Khajezade, Sama Goliaei, Hadi Veisi
Frontiers in Computational Neuroscience|January 20, 2021
Performance Analysis With Different Types of Visual Stimuli in a BCI-Based Speller Under an RSVP ParadigmRicardo Ron-Angevin, M Teresa Medina-Juliá, Álvaro Fernández-Rodríguez, et al.
Frontiers in Computational Neuroscience|January 14, 2022
Interpretation of Frequency Channel-Based CNN on Depression IdentificationHengjin Ke, Cang Cai, Fengqin Wang, et al.
Frontiers in Computational Neuroscience|December 6, 2021
Free-Energy Model of Emotion Potential: Modeling Arousal Potential as Information Content Induced by Complexity and NoveltyHideyoshi Yanagisawa
Frontiers in Computational Neuroscience|January 30, 2014
A computational analysis of motor synergies by dynamic response decompositionCristiano Alessandro, Juan Pablo Carbajal, Andrea d'Avella
Frontiers in Computational Neuroscience|December 27, 2021
Data Augmentation for EEG-Based Emotion Recognition Using Generative Adversarial NetworksGuangcheng Bao, Bin Yan, Li Tong, et al.
Pageof 213

Showing results (1-10 of 2,124) with videos related to

Sort By:
Pageof 213
Frontiers in Computational Neuroscience|March 15, 2021
Target Detection Using Ternary Classification During a Rapid Serial Visual Presentation Task Using Magnetoencephalography DataChuncheng Zhang, Shuang Qiu, Shengpei Wang, et al.
Frontiers in Computational Neuroscience|February 28, 2019
Symbolic Modeling of Asynchronous Neural Dynamics Reveals Potential Synchronous Roots for the Emergence of AwarenessPierre Bonzon
Frontiers in Computational Neuroscience|February 28, 2019
Automated Detection of High-Frequency Oscillations in Epilepsy Based on a Convolutional Neural NetworkRui Zuo, Jing Wei, Xiaonan Li, et al.
Frontiers in Computational Neuroscience|July 30, 2019
A Computational Model of Attention Control in Multi-Attribute, Context-Dependent Decision MakingKanghoon Jung, Jaeseung Jeong, Jerald D Kralik
Frontiers in Computational Neuroscience|July 30, 2019
A Game-Theoretical Network Formation Model for <i>C. elegans</i> Neural NetworkMohamad Khajezade, Sama Goliaei, Hadi Veisi
Frontiers in Computational Neuroscience|January 20, 2021
Performance Analysis With Different Types of Visual Stimuli in a BCI-Based Speller Under an RSVP ParadigmRicardo Ron-Angevin, M Teresa Medina-Juliá, Álvaro Fernández-Rodríguez, et al.
Frontiers in Computational Neuroscience|January 14, 2022
Interpretation of Frequency Channel-Based CNN on Depression IdentificationHengjin Ke, Cang Cai, Fengqin Wang, et al.
Frontiers in Computational Neuroscience|December 6, 2021
Free-Energy Model of Emotion Potential: Modeling Arousal Potential as Information Content Induced by Complexity and NoveltyHideyoshi Yanagisawa
Frontiers in Computational Neuroscience|January 30, 2014
A computational analysis of motor synergies by dynamic response decompositionCristiano Alessandro, Juan Pablo Carbajal, Andrea d'Avella
Frontiers in Computational Neuroscience|December 27, 2021
Data Augmentation for EEG-Based Emotion Recognition Using Generative Adversarial NetworksGuangcheng Bao, Bin Yan, Li Tong, et al.
Pageof 213