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Hybrid neurovascular–neural model (perfusion-gated frozen NNs). JMLR submission.

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KalinStoyanov/stroke

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Hybrid Neurovascular Model for Ischemia-Constrained Computation

Target journal: JMLR
This repo contains the paper and code for a stress-sensitive vascular model coupled to pretrained, frozen neural networks. Neuron outputs are modulated as whole units by local perfusion $\widehat{S}(v,t)$ (vessel size enters through $\widehat{S}$). No Hebbian/plasticity terms are used in this article.

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  • paper/ — LaTeX source (NN_stroke_article_14_8_2_JMLR.tex, NN_stroke.bib)
  • src/ — vascular graph + stress-driven dynamics; coupling gate g(S)
  • configs/, scripts/, results/ — experiments and summaries

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Hybrid neurovascular–neural model (perfusion-gated frozen NNs). JMLR submission.

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