Author

Patrick Inoue

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Oct 2026

Rewiring of adult neural networks - learning from structural plasticity across multiple scales

It is argued that understanding structural plasticity is a problem involving multiple temporal and spatial scales that requires collaborative efforts of experimentalists, theoreticians as well as computational modelers, and has the potential for comprehensive neuroscientific insights that can guide the development of m...

M. Fauth, Han Lu, Jannik Luboeinski et al. · arXiv.org · 0 citations

#machine learning Preprint Oct 2026

Approaching Backpropagation Accuracy with Weight Perturbation on MNIST

This work examines how batch size, training duration, and estimator stabilization affect weight perturbation accuracy in fully connected MNIST networks, and identifies near-BP accuracy as a configuration- and budget-dependent possibility, rather than evidence of equal efficiency or an unconditional accuracy guarantee a...

Patrick Inoue · 0 citations

Open access Sep 2026

Locality and weight sharing shape Hebbian principal-component learning in biologically constrained visual models

Biologically motivated artificial visual learning requires local plasticity rules to be evaluated within architectures whose connectivity assumptions remain explicit. Convolutional Hebbian networks demonstrate that competitive local learning can support visual classification, but their performance is coupled to exa...

Patrick Inoue, F. Röhrbein, Andreas Knoblauch · Frontiers in Computational N... · 0 citations