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Gabriele Lagani
Observed names:
LAGANI, GABRIELE,
Lagani G.,
Lagani, Gabriele
Institutions:
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo",
National Research Council
Observed institutions:
University of Pisa,
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo",
National Research Council
ORCID:
0000-0003-4739-5778
Observed ORCID:
0000-0003-4739-5778
OpenAlex ID:
A5025605185
Hebbian Learning Meets Deep Convolutional Neural Networks
2019
·
Giuseppe Amato
, Fabio Carrara
, et al.
·
Lecture notes in computer science
·
54
Comparing the performance of Hebbian against backpropagation learning using convolutional neural networks
2022
·
Gabriele Lagani
, Fabrizio Falchi
, et al.
·
Neural Computing and Applications
·
27
PDF
Hebbian semi-supervised learning in a sample efficiency setting
2021
·
Gabriele Lagani
, Fabrizio Falchi
, et al.
·
Neural Networks
·
21
PDF
Scalable bio-inspired training of Deep Neural Networks with FastHebb
2024
·
Gabriele Lagani
, Fabrizio Falchi
, et al.
·
Neurocomputing
·
11
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey
2023
·
Lagani, Gabriele
, Falchi, Fabrizio
, et al.
·
arXiv (Cornell University)
·
11
PDF
FastHebb: Scaling Hebbian Training of Deep Neural Networks to ImageNet Level
2022
·
Gabriele Lagani
, Claudio Gennaro
, et al.
·
Lecture notes in computer science
·
9
PDF
Training Convolutional Neural Networks with Competitive Hebbian Learning Approaches
2022
·
Gabriele Lagani
, Fabrizio Falchi
, et al.
·
Lecture notes in computer science
·
8
PDF
A proper excitatory/inhibitory ratio is required to develop synchronized network activity in mouse cortical cultures
2025
·
Eleonora Crocco
, Ludovico Iannello
, et al.
·
Stem Cell Reports
·
7
Evaluating Hebbian Learning in a Semi-supervised Setting
2022
·
Gabriele Lagani
, Fabrizio Falchi
, et al.
·
Lecture notes in computer science
·
7
Assessing Pattern Recognition Performance of Neuronal Cultures through Accurate Simulation
2021
·
Gabriele Lagani
, Raffaele Mazziotti
, et al.
·
International IEEE/EMBS Conference on Neural Engineering
·
6
PDF
Deep Features for CBIR with Scarce Data using Hebbian Learning
2022
·
Gabriele Lagani
, Davide Bacciu
, et al.
·
International Workshop on Content-Based Multimedia Indexing (CBMI)
·
5
PDF
From Neurons to Computation: Biological Reservoir Computing for Pattern Recognition
2025
·
Ludovico Iannello
, Luca Ciampi
, et al.
·
Communications in computer and information science
·
4
PDF
CA3D: Convolutional-Attentional 3D Nets for Efficient Video Activity Recognition on the Edge
2025
·
Gabriele Lagani
, Fabrizio Falchi
, et al.
·
Lecture notes in computer science
·
3
PDF
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey
2023
·
Lagani, Gabriele
, Falchi, Fabrizio
, et al.
·
arXiv (Cornell University)
·
3
PDF
Biologically-Inspired Semi-Supervised Semantic Segmentation for Biomedical Imaging
2025
·
Luca Ciampi
, Gabriele Lagani
, et al.
·
SSRN Electronic Journal
·
2
A Biologically-Inspired Approach to Biomedical Image Segmentation
2025
·
Luca Ciampi
, Gabriele Lagani
, et al.
·
Lecture notes in computer science
·
2
Training Convolutional Neural Networks With Hebbian Principal Component Analysis
2020
·
Lagani, Gabriele
, Amato, Giuseppe
, et al.
·
arXiv (Cornell University)
·
2
PDF
Biologically-inspired semi-supervised semantic segmentation for biomedical imaging
2026
·
Luca Ciampi
, Gabriele Lagani
, et al.
·
Neural Networks
·
1
Neuro-Inspired Visual Pattern Recognition via Biological Reservoir Computing
2026
·
Ciampi, Luca
, Iannello, Ludovico
, et al.
·
arXiv (Cornell University)
·
1
PDF
From Neural Activity to Computation: Biological Reservoirs for Pattern Recognition in Digit Classification
2025
·
Ludovico Iannello
, Luca Ciampi
, et al.
·
IEEE International Conference on Computer Vision Workshops
·
1
PDF
Neuro-Inspired Visual Pattern Recognition via Biological Reservoir Computing
2026
·
Luca Ciampi
, Ludovico Iannello
, et al.
·
International Journal of Computer Vision
Comparison of Different Deep Neural Network Models in the Cultural Heritage Domain
2025
·
Boyadzhiev, Teodor
, Lagani, Gabriele
, et al.
·
arXiv (Cornell University)
PDF
Bio-Inspired Approaches for Deep Learning: Hebbian Learning, Spiking Neural Networks, and Backprop Alternatives
2025
·
Gabriele Lagani
, Fabrizio Falchi
, et al.
·
SSRN Electronic Journal
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging
2024
·
Ciampi, Luca
, Lagani, Gabriele
, et al.
·
PubMed
PDF
AIMH Research Activities 2020
2020
·
Aloia N.
, Amato G.
, et al.
·
HAL
PDF
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Works count:
30
Citation count:
185
H-index:
7
I10-index:
5
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