Author

Ryszard Auksztulewicz

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Open access Sep 2026

Predictive perception via simultaneous learning and inference

Perception has been proposed to involve an inferential process that combines noisy sensory evidence with prior expectations to estimate the latent states of the environment. Exact Bayesian inference is intractable in the continuous, high-dimensional state spaces of the natural world. Variational schemes address this by...

M. Enan, M. Senden, Paulina Janik et al. · bioRxiv · 1 citation

Open access Sep 2026

Predictive coding networks capture human neural representations missing in supervised DNNs

Neuroscientific learning theories propose that the brain acquires knowledge by constructing internal world models. Supervised learning, the dominant approach in deep neural networks (DNN), relies on external category labels, making it difficult to reconcile with biological learning. There is an increasing trend towards...

Dirk Gütlin, Denise Kittelmann, Ryszard Auksztulewicz · bioRxiv · 0 citations