MambaKAN: An Interpretable Framework for Alzheimer's Disease Diagnosis via Selective State Space Modeling of Dynamic Functional Connectivity.

Gao L, Hu Z

Open source

DOI: 10.3390/brainsci16040421
Published: 2026 Apr 17
Container: Brain sciences
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/brainsci16040421,
  title = {MambaKAN: An Interpretable Framework for Alzheimer's Disease Diagnosis via Selective State Space Modeling of Dynamic Functional Connectivity.},
  author = {Gao L and Hu Z},
  year = {2026},
  journal = {Brain sciences},
  doi = {10.3390/brainsci16040421},
  url = {https://doi.org/10.3390/brainsci16040421}
}

RIS

TY  - JOUR
TI  - MambaKAN: An Interpretable Framework for Alzheimer's Disease Diagnosis via Selective State Space Modeling of Dynamic Functional Connectivity.
AU  - Gao L
AU  - Hu Z
PY  - 2026
JO  - Brain sciences
DO  - 10.3390/brainsci16040421
UR  - https://doi.org/10.3390/brainsci16040421
ER  -

APA

L, G., & Z, H. (2026). MambaKAN: An Interpretable Framework for Alzheimer's Disease Diagnosis via Selective State Space Modeling of Dynamic Functional Connectivity.. Brain sciences. https://doi.org/10.3390/brainsci16040421

Source records

pubmed · retrieved 2026-09-27T07:50:10.641Z
europe-pmc · retrieved 2026-09-27T07:50:10.638Z
doaj · retrieved 2026-09-27T07:50:10.650Z