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Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning:
  A Survey

Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey

30 July 2023
Gabriele Lagani
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
    AAML
ArXivPDFHTML

Papers citing "Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey"

7 / 7 papers shown
Title
From Neurons to Computation: Biological Reservoir Computing for Pattern Recognition
From Neurons to Computation: Biological Reservoir Computing for Pattern Recognition
Ludovico Iannello
Luca Ciampi
Gabriele Lagani
Fabrizio Tonelli
Eleonora Crocco
Lucio Maria Calcagnile
Angelo Di Garbo
F. Cremisi
Giuseppe Amato
22
0
0
06 May 2025
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A
  Survey
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey
Gabriele Lagani
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
10
4
0
30 Jul 2023
Deep Features for CBIR with Scarce Data using Hebbian Learning
Deep Features for CBIR with Scarce Data using Hebbian Learning
Gabriele Lagani
D. Bacciu
Claudio Gallicchio
Fabrizio Falchi
Claudio Gennaro
Giuseppe Amato
11
5
0
18 May 2022
Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial
  Robustness
Stochastic Local Winner-Takes-All Networks Enable Profound Adversarial Robustness
Konstantinos P. Panousis
S. Chatzis
Sergios Theodoridis
BDL
AAML
47
11
0
05 Dec 2021
From Show to Tell: A Survey on Deep Learning-based Image Captioning
From Show to Tell: A Survey on Deep Learning-based Image Captioning
Matteo Stefanini
Marcella Cornia
Lorenzo Baraldi
S. Cascianelli
G. Fiameni
Rita Cucchiara
3DV
VLM
MLLM
51
244
0
14 Jul 2021
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft
  Winner-Take-All Networks
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft Winner-Take-All Networks
Timoleon Moraitis
Dmitry Toichkin
Adrien Journé
Yansong Chua
Qinghai Guo
AAML
BDL
59
17
0
12 Jul 2021
Local Competition and Stochasticity for Adversarial Robustness in Deep
  Learning
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning
Konstantinos P. Panousis
S. Chatzis
Antonios Alexos
Sergios Theodoridis
BDL
AAML
OOD
54
19
0
04 Jan 2021
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