In gesprek met... Marcel van de Ven Koukleum.nl
Marcel A. J. van Gerven's 75 research works with 1,278 citations and 19,278 reads, including: Predictive coding is a consequence of energy efficiency in recurrent neural networks
BI 023 Marcel van Gerven Mind Decoding with GANs YouTube
Marcel van Gerven Segmenting perceptual experience into meaningful events is a key cognitive process that helps us make sense of what is happening around us in the moment, as well as helping us.
Radboud Science Awards 2019 voor Marcel van Gerven, Carla Rita Palmerino en Evan Spruijt
Marcel van Gerven According to most theories, perceptual switching during binocular rivalry is caused by competition between the neural representations of the two input images.
Marcel van Gerven LinkedIn
Marcel van Gerven, Radboud University Nijmegen, Donders Institute for Brain, Cognition and Behaviour, Faculty Member. Studies Machine Learning, Cognitive Neuroscience, and Neuroinformatics.
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Explainable Deep Learning: A Field Guide for the Uninitiated. Gabrielle Ras, Ning Xie, Marcel van Gerven, Derek Doran. Deep neural networks (DNNs) have become a proven and indispensable machine learning tool. As a black-box model, it remains difficult to diagnose what aspects of the model's input drive the decisions of a DNN.
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Hudson Valley men allegedly trafficked $1.2M in drugs, 12 indicted. Mike Randall. Times Herald-Record. 0:00. 0:45. Twelve residents are facing charges relating to an alleged drug operation that.
Intense Project Marcel van Gerven
Güçlü, U. & van Gerven, M. A. Deep neural networks reveal a gradient in the complexity of neural representations across the ventral stream. J. Neurosci. 35 , 10005-10014 (2015).
Marcel Van den Broeck 07/01/2020
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Marcel Van Gerven VSS 2014 Symposium YouTube
Marcel van Gerven. Radboud University Nijmegen, Nijmegen, The Netherlands. View editor publications. You can also search for this editor in PubMed Google Scholar. Presents a snapshot of explainable and interpretable models in the context of computer vision and machine learning. Covers fundamental topics to serve as a reference for newcomers to.
Javier GonzalezCastillo on Twitter "Dr. Marcel Van Gerven will be talking at the "NIMH
Thomas van Aquinostraat 4. 6525 GD NIJMEGEN. Postal address. Postbus 9104. 6500 HE NIJMEGEN. Working days Monday, Tuesday, Wednesday, Thursday, Friday. About. Marcel van Gerven focuses on the development of artificial intelligence (AI) that is inspired by the way in which the human brain works. This provides the basis for smarter and more.
Videoportret Marcel van Gerven Radboud Science Awards 2019 YouTube
Stochastic variational inference offers an attractive option as a default method for differentiable probabilistic programming. However, the performance of the variational approach depends on the choice of an appropriate variational family. Here, we introduce automatic structured variational inference (ASVI), a fully automated method for constructing structured variational families, inspired by.
(PDF) Selecting strategies for infinitehorizon dynamic LIMIDs Marcel van Gerven Academia.edu
Bodo Rueckauer 1 , Marcel van Gerven 1 Affiliation 1 Department of Artificial Intelligence, Donders Institute for Brain, Cognition and Behavior, Radboud University, Nijmegen, Netherlands. PMID: 36968496 PMCID: PMC10030734 DOI: 10.3389/fnins.2023.1141884.
Marcel VAN GERVEN PhD Radboud University, Nijmegen RU Donders Institute for Brain
Marcel van Gerven is a professor of Artificial Cognitive Systems and chair of the Department of Artificial Intelligence at the Donders Institute for Brain, Cognition and Behaviour at Radboud University. He is recipient of an NWO Vidi grant. His lab focuses on understanding the computational basis of cognitive processes and the development of.
Marcel van Gerven CSO & Partner at Machine2Learn The Org
Radboud Universiteit Donders Institute for Brain Cognition and Behaviour: Nijmegen, Gelderland, NL
‘Als we echt intelligente machines willen bouwen dan moeten we de mens omarmen’ Emerce
Marcel van Gerven Principal Investigator-Donders Institute. I am interested in the theoretical and computational principles that allow the brain to generate optimal behavior based on sparse reward signals provided by the environment. We create biologically plausible neural network models that further our understanding of natural intelligence.
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Marcel van Gerven 1 , Sander Bohte 2 Affiliations 1 Department of Artificial Intelligence, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen, Nijmegen, Netherlands. 2 Department of Machine Learning, Centrum Wiskunde and Informatica, Amsterdam, Netherlands. PMID: 29311884 PMCID.