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20122026
most citedDynamic Decomposition of Spatiotemporal Neural Signals

17 citations · 51 across the 31 of their papers we have counts for

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q-bio.NC2022★ 1 cited

How does artificial intelligence contribute to iEEG research?

Julia Berezutskaya, Anne-Lise Saive, Karim Jerbi +1

Artificial intelligence (AI) is a fast-growing field focused on modeling and machine implementation of various cognitive functions with an increasing number of applications in comp…

q-bio.NC2020

Overcoming the Weight Transport Problem via Spike-Timing-Dependent Weight Inference

Nasir Ahmad, Luca Ambrogioni, Marcel A. J. van Gerven

We propose a solution to the weight transport problem, which questions the biological plausibility of the backpropagation algorithm. We derive our method based upon a theoretical a…

q-bio.NC2016★ 17 cited

Dynamic Decomposition of Spatiotemporal Neural Signals

Luca Ambrogioni, Marcel A. J. van Gerven, Eric Maris

Neural signals are characterized by rich temporal and spatiotemporal dynamics that reflect the organization of cortical networks. Theoretical research has shown how neural networks…

q-bio.NC2014★ 1 cited

Efficient sampling of Gaussian graphical models using conditional Bayes factors

Max Hinne, Alex Lenkoski, Tom Heskes +1

Bayesian estimation of Gaussian graphical models has proven to be challenging because the conjugate prior distribution on the Gaussian precision matrix, the G-Wishart distribution,…

q-bio.NC2012★ 10 cited

Bayesian Inference of Whole-Brain Networks

M. Hinne, T. Heskes, M. A. J. van Gerven

In structural brain networks the connections of interest consist of white-matter fibre bundles between spatially segregated brain regions. The presence, location and orientation of…