A bio-inspired spiking neural network with adaptive spatiotemporal filtering and depth-modulated synaptic plasticity for robust collision detection.
- DOI
- 10.1016/j.neunet.2026.108829
- Published
- 2026 Aug
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2026.108829,
title = {A bio-inspired spiking neural network with adaptive spatiotemporal filtering and depth-modulated synaptic plasticity for robust collision detection.},
author = {Ren Y and Zhao Y and Chen L and Jiang Q and Xu Y and Wang J and Huang X and Wang Z and Ran H and Zhou Y and Qiao S},
year = {2026},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2026.108829},
url = {https://doi.org/10.1016/j.neunet.2026.108829}
}RIS
TY - JOUR TI - A bio-inspired spiking neural network with adaptive spatiotemporal filtering and depth-modulated synaptic plasticity for robust collision detection. AU - Ren Y AU - Zhao Y AU - Chen L AU - Jiang Q AU - Xu Y AU - Wang J AU - Huang X AU - Wang Z AU - Ran H AU - Zhou Y AU - Qiao S PY - 2026 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2026.108829 UR - https://doi.org/10.1016/j.neunet.2026.108829 ER -
APA
Y, R., Y, Z., L, C., Q, J., Y, X., J, W., X, H., Z, W., H, R., Y, Z., & S, Q. (2026). A bio-inspired spiking neural network with adaptive spatiotemporal filtering and depth-modulated synaptic plasticity for robust collision detection.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2026.108829
Source records
- pubmed · retrieved 2026-09-26T00:18:33.070Z