Kernel heterogeneity improves sparseness of natural images representations

Hugo J Ladret, Christian Casanova, Laurent Udo Perrinet

Open source

DOI: 10.1088/2634-4386/ad5d0f
Published: 2024-08-20
Container: Neuromorphic Computing and Engineering
Publisher: IOP Publishing
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1088/2634-4386/ad5d0f,
  title = {Kernel heterogeneity improves sparseness of natural images representations},
  author = {Hugo J Ladret and Christian Casanova and Laurent Udo Perrinet},
  year = {2024},
  journal = {Neuromorphic Computing and Engineering},
  doi = {10.1088/2634-4386/ad5d0f},
  url = {https://doi.org/10.1088/2634-4386/ad5d0f}
}

RIS

TY  - JOUR
TI  - Kernel heterogeneity improves sparseness of natural images representations
AU  - Hugo J Ladret
AU  - Christian Casanova
AU  - Laurent Udo Perrinet
PY  - 2024
JO  - Neuromorphic Computing and Engineering
DO  - 10.1088/2634-4386/ad5d0f
UR  - https://doi.org/10.1088/2634-4386/ad5d0f
ER  -

APA

Ladret, H. J., Casanova, C., & Perrinet, L. U. (2024). Kernel heterogeneity improves sparseness of natural images representations. Neuromorphic Computing and Engineering. https://doi.org/10.1088/2634-4386/ad5d0f

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crossref · retrieved 2026-09-25T13:26:04.547Z