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AIMH Lab for a Susteinable Bio-Inspired AI.

, , , and . Ital-IA, volume 3486 of CEUR Workshop Proceedings, page 575-584. CEUR-WS.org, (2023)

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Training Convolutional Neural Networks With Hebbian Principal Component Analysis., , , and . CoRR, (2020)Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey., , , and . CoRR, (2023)Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey., , , and . CoRR, (2023)Training Convolutional Neural Networks with Competitive Hebbian Learning Approaches., , , and . LOD, volume 13163 of Lecture Notes in Computer Science, page 25-40. Springer, (2021)Recent Advancements on Bio-Inspired Hebbian Learning for Deep Neural Networks.. SEBD, volume 3194 of CEUR Workshop Proceedings, page 610-615. CEUR-WS.org, (2022)Evaluating Hebbian Learning in a Semi-supervised Setting., , , and . LOD, volume 13164 of Lecture Notes in Computer Science, page 365-379. Springer, (2021)Deep Features for CBIR with Scarce Data using Hebbian Learning., , , , , and . CBMI, page 136-141. ACM, (2022)Assessing Pattern Recognition Performance of Neuronal Cultures through Accurate Simulation., , , , , , , and . CoRR, (2020)FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level., , , and . SISAP, volume 13590 of Lecture Notes in Computer Science, page 251-264. Springer, (2022)Hebbian Learning Meets Deep Convolutional Neural Networks., , , , and . ICIAP (1), volume 11751 of Lecture Notes in Computer Science, page 324-334. Springer, (2019)