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Marcel van Gerven

Showing results (1-10 of 42) with videos related to

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Frontiers in Computational Neuroscience|January 30, 2018
Computational Foundations of Natural IntelligenceMarcel van Gerven
Frontiers in Computational Neuroscience|January 10, 2018
Editorial: Artificial Neural Networks as Models of Neural Information ProcessingMarcel van Gerven, Sander Bohte
Frontiers in Neuroscience|March 27, 2023
An <i>in-silico</i> framework for modeling optimal control of neural systemsBodo Rueckauer, Marcel van Gerven
Journal of Neuroscience Methods|May 12, 2009
Attention modulations of posterior alpha as a control signal for two-dimensional brain-computer interfacesMarcel van Gerven, Ole Jensen
Plos One|October 17, 2018
Emergent mechanisms of evidence integration in recurrent neural networksSilvan Quax, Marcel van Gerven
Neuroimage|July 1, 2018
New advances in encoding and decoding of brain signalsChris I Baker, Marcel van Gerven
Frontiers in Computational Neuroscience|November 17, 2025
Universal differential equations as a unifying modeling language for neuroscienceAhmed El-Gazzar, Marcel van Gerven
Neuroimage|April 21, 2021
Detecting neural state transitions underlying event segmentationLinda Geerligs, Marcel van Gerven, Umut Güçlü
Journal of Biomedical Informatics|April 18, 2026
Generative modeling of clinical time series via latent stochastic differential equationsMuhammad Aslanimoghanloo, Ahmed ElGazzar, Marcel van Gerven
Frontiers in Neuroscience|November 20, 2024
Corrigendum: Gradient-free training of recurrent neural networks using random perturbationsJesús García Fernández, Sander Keemink, Marcel van Gerven
Pageof 5

Showing results (1-10 of 42) with videos related to

Sort By:
Pageof 5
Frontiers in Computational Neuroscience|January 30, 2018
Computational Foundations of Natural IntelligenceMarcel van Gerven
Frontiers in Computational Neuroscience|January 10, 2018
Editorial: Artificial Neural Networks as Models of Neural Information ProcessingMarcel van Gerven, Sander Bohte
Frontiers in Neuroscience|March 27, 2023
An <i>in-silico</i> framework for modeling optimal control of neural systemsBodo Rueckauer, Marcel van Gerven
Journal of Neuroscience Methods|May 12, 2009
Attention modulations of posterior alpha as a control signal for two-dimensional brain-computer interfacesMarcel van Gerven, Ole Jensen
Plos One|October 17, 2018
Emergent mechanisms of evidence integration in recurrent neural networksSilvan Quax, Marcel van Gerven
Neuroimage|July 1, 2018
New advances in encoding and decoding of brain signalsChris I Baker, Marcel van Gerven
Frontiers in Computational Neuroscience|November 17, 2025
Universal differential equations as a unifying modeling language for neuroscienceAhmed El-Gazzar, Marcel van Gerven
Neuroimage|April 21, 2021
Detecting neural state transitions underlying event segmentationLinda Geerligs, Marcel van Gerven, Umut Güçlü
Journal of Biomedical Informatics|April 18, 2026
Generative modeling of clinical time series via latent stochastic differential equationsMuhammad Aslanimoghanloo, Ahmed ElGazzar, Marcel van Gerven
Frontiers in Neuroscience|November 20, 2024
Corrigendum: Gradient-free training of recurrent neural networks using random perturbationsJesús García Fernández, Sander Keemink, Marcel van Gerven
Pageof 5