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Marcel van Gerven

Showing results (31-40 of 42) with videos related to

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Journal of Neural Engineering|July 2, 2025
Bayesian optimization of cortical neuroprosthetic vision using perceptual feedbackBurcu Küçükoğlu, Leili Soo, David Leeftink, et al.
Scientific Reports|December 15, 2025
Leveraging spatial cues from cochlear implant microphones to efficiently enhance speech separation in naturalistic listening scenesFeyisayo Olalere, Kiki van der Heijden, H Christiaan Stronks, et al.
Plos Computational Biology|May 6, 2024
Brain2GAN: Feature-disentangled neural encoding and decoding of visual perception in the primate brainThirza Dado, Paolo Papale, Antonio Lozano, et al.
Journal of Neural Engineering|June 27, 2025
End-to-end learning of safe stimulation parameters for cortical neuroprosthetic visionBurcu Küçükoğlu, Bodo Rueckauer, Jaap de Ruyter van Steveninck, et al.
Journal of Neural Engineering|July 23, 2009
The brain-computer interface cycleMarcel van Gerven, Jason Farquhar, Rebecca Schaefer, et al.
Frontiers in Human Neuroscience|April 8, 2025
Point-SPV: end-to-end enhancement of object recognition in simulated prosthetic vision using synthetic viewing pointsAshkan Nejad, Burcu Küçükoǧlu, Jaap de Ruyter van Steveninck, et al.
Nucleic Acids Research|June 17, 2022
DeNovoCNN: a deep learning approach to de novo variant calling in next generation sequencing dataGelana Khazeeva, Karolis Sablauskas, Bart van der Sanden, et al.
Journal of Vision|February 1, 2022
Real-world indoor mobility with simulated prosthetic vision: The benefits and feasibility of contour-based scene simplification at different phosphene resolutionsJaap de Ruyter van Steveninck, Tom van Gestel, Paula Koenders, et al.
Elife|February 22, 2024
Towards biologically plausible phosphene simulation for the differentiable optimization of visual cortical prosthesesMaureen van der Grinten, Jaap de Ruyter van Steveninck, Antonio Lozano, et al.
The Behavioral and Brain Sciences|December 6, 2023
Deep neural networks are not a single hypothesis but a language for expressing computational hypothesesTal Golan, JohnMark Taylor, Heiko Schütt, et al.
Pageof 5

Showing results (31-40 of 42) with videos related to

Sort By:
Pageof 5
Journal of Neural Engineering|July 2, 2025
Bayesian optimization of cortical neuroprosthetic vision using perceptual feedbackBurcu Küçükoğlu, Leili Soo, David Leeftink, et al.
Scientific Reports|December 15, 2025
Leveraging spatial cues from cochlear implant microphones to efficiently enhance speech separation in naturalistic listening scenesFeyisayo Olalere, Kiki van der Heijden, H Christiaan Stronks, et al.
Plos Computational Biology|May 6, 2024
Brain2GAN: Feature-disentangled neural encoding and decoding of visual perception in the primate brainThirza Dado, Paolo Papale, Antonio Lozano, et al.
Journal of Neural Engineering|June 27, 2025
End-to-end learning of safe stimulation parameters for cortical neuroprosthetic visionBurcu Küçükoğlu, Bodo Rueckauer, Jaap de Ruyter van Steveninck, et al.
Journal of Neural Engineering|July 23, 2009
The brain-computer interface cycleMarcel van Gerven, Jason Farquhar, Rebecca Schaefer, et al.
Frontiers in Human Neuroscience|April 8, 2025
Point-SPV: end-to-end enhancement of object recognition in simulated prosthetic vision using synthetic viewing pointsAshkan Nejad, Burcu Küçükoǧlu, Jaap de Ruyter van Steveninck, et al.
Nucleic Acids Research|June 17, 2022
DeNovoCNN: a deep learning approach to de novo variant calling in next generation sequencing dataGelana Khazeeva, Karolis Sablauskas, Bart van der Sanden, et al.
Journal of Vision|February 1, 2022
Real-world indoor mobility with simulated prosthetic vision: The benefits and feasibility of contour-based scene simplification at different phosphene resolutionsJaap de Ruyter van Steveninck, Tom van Gestel, Paula Koenders, et al.
Elife|February 22, 2024
Towards biologically plausible phosphene simulation for the differentiable optimization of visual cortical prosthesesMaureen van der Grinten, Jaap de Ruyter van Steveninck, Antonio Lozano, et al.
The Behavioral and Brain Sciences|December 6, 2023
Deep neural networks are not a single hypothesis but a language for expressing computational hypothesesTal Golan, JohnMark Taylor, Heiko Schütt, et al.
Pageof 5