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Every article on Frontiers is peer reviewed, permanently archived and free to read.

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Original Research
Published 7 October 2026
Constrained Hebbian learning supports efficient representational allocation under structural constraints
Patrick Inoue · Florian Röhrbein · Andreas Knoblauch
Frontiers in Computational Neuroscience
doi 10.3389/fncom.2026.1825378
Original Research
Published 10 September 2026
Going deeper with morphologically detailed neural networks by simulation-based gradient propagation
Gan He · Kai Du · Tiejun Huang
Frontiers in Computational Neuroscience
doi 10.3389/fncom.2026.1904220