NM-Hebb combines a Hebbian activation-weight alignment regulariser, a loss-gated neuromodulator, and a metric fine-tuning phase to improve CNN accuracy and embedding compactness.
Krizhevsky, Cifar-10 dataset, dataset page, accessed 2025-08-11 (2009)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
dataset 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
CONDITIONAL 1roles
dataset 1polarities
use dataset 1representative citing papers
citing papers explorer
-
NM-Hebb: Coupling Local Hebbian Plasticity with Metric Learning for More Accurate and Interpretable CNNs
NM-Hebb combines a Hebbian activation-weight alignment regulariser, a loss-gated neuromodulator, and a metric fine-tuning phase to improve CNN accuracy and embedding compactness.