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Frontiers in Computational Neuroscience|June 24, 2021
Understanding the Impact of Neural Variations and Random Connections on InferenceYuan Zeng, Zubayer Ibne Ferdous, Weixiang Zhang, et al.
Frontiers in Computational Neuroscience|June 24, 2021
Variability and Randomness of the Instantaneous Firing RateRimjhim Tomar, Lubomir Kostal
Frontiers in Computational Neuroscience|December 16, 2022
Disrupted visual input unveils the computational details of artificial neural networks for face perceptionYi-Fan Li, Haojiang Ying
Frontiers in Computational Neuroscience|December 19, 2022
Quasicriticality explains variability of human neural dynamics across life spanLeandro J Fosque, Abolfazl Alipour, Marzieh Zare, et al.
Frontiers in Computational Neuroscience|January 2, 2023
Analysis of instantaneous brain interactions contribution to a motor imagery classification taskJorge Humberto Cristancho Cuervo, Jaime F Delgado Saa, Lácides Antonio Ripoll Solano
Frontiers in Computational Neuroscience|December 5, 2022
A theoretical model reveals specialized synaptic depressions and temporal frequency tuning in retinal parallel channelsLiuyuan He, Yutao He, Lei Ma, et al.
Frontiers in Computational Neuroscience|June 13, 2022
Whole-Brain Network Models: From Physics to BedsideAnagh Pathak, Dipanjan Roy, Arpan Banerjee
Frontiers in Computational Neuroscience|June 20, 2022
Treatment Response Prediction for Major Depressive Disorder Patients via Multivariate Pattern Analysis of Thalamic FeaturesHanxiaoran Li, Sutao Song, Donglin Wang, et al.
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