Author

J. Macke

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Open access Oct 2026

Attractor dynamics underlie sequence working memory in data-constrained recurrent neural networks

Sequences of stimuli can be maintained in working memory by encoding each item, together with its position, as a distinct pattern of neural population activity. Competing hypotheses about the underlying dynamics have been proposed: patterns of activity might be supported either by stable attractor states that persist o...

Matthijs Pals, J. Macke · bioRxiv · 0 citations

#machine learning May 2026

Mixed neural posterior estimation for simulators with discrete and continuous parameters

The inference network factorizes the joint posterior into discrete and continuous components, combining an autoregressive classifier for the discrete parameters with a generative model for the continuous parameters, trained jointly under a single simulation-based objective.

Jan Boelts, Cornelius Schröder, Jonas Beck et al. · arXiv.org · 0 citations