Hebbian Deep Learning Without Feedback

23 September 2022

Adrien Journé

Hector Garcia Rodriguez

Qinghai Guo

Timoleon Moraitis

AAML

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Papers citing "Hebbian Deep Learning Without Feedback"

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Title
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 34 0 0 06 May 2025
Classifying States of the Hopfield Network with Improved Accuracy, Generalization, and Interpretability Hayden McAlister Anthony Robins Lech Szymanski 45 0 0 04 Mar 2025
Benchmarking Predictive Coding Networks -- Made Simple Luca Pinchetti Chang Qi Oleh Lokshyn Gaspard Olivers Cornelius Emde ... Simon Frieder Bayar I. Menzat Rafal Bogacz Thomas Lukasiewicz Tommaso Salvatori 123 5 0 17 Feb 2025
OscNet: Machine Learning on CMOS Oscillator Networks Wenxiao Cai Thomas H. Lee 58 0 0 11 Feb 2025
Neuronal Competition Groups with Supervised STDP for Spike-Based Classification Gaspard Goupy Pierre Tirilly Ioan Marius Bilasco 29 0 0 22 Oct 2024
FLOPS: Forward Learning with OPtimal Sampling Tao Ren Zishi Zhang Jinyang Jiang Guanghao Li Zeliang Zhang Mingqian Feng Yijie Peng 35 1 0 08 Oct 2024
Self-Contrastive Forward-Forward Algorithm Xing Chen Dongshu Liu Jérémie Laydevant Julie Grollier 34 2 0 17 Sep 2024
HPFF: Hierarchical Locally Supervised Learning with Patch Feature Fusion Junhao Su Chenghao He Feiyu Zhu Xiaojie Xu Dongzhi Guan Chenyang Si 39 2 0 08 Jul 2024
MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network Yuming Zhang Shouxin Zhang Peizhe Wang Feiyu Zhu Dongzhi Guan Junhao Su Jiabin Liu Changpeng Cai 25 2 0 24 Jun 2024
Evolutionary Spiking Neural Networks: A Survey Shuaijie Shen Rui Zhang Chao Wang Renzhuo Huang Aiersi Tuerhong Qinghai Guo Zhichao Lu Jianguo Zhang Luziwei Leng 24 6 0 18 Jun 2024
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation Yibo Yang Xiaojie Li Motasem Alfarra Hasan Hammoud Adel Bibi Philip H. S. Torr Bernard Ghanem 37 2 0 07 Jun 2024
LLS: Local Learning Rule for Deep Neural Networks Inspired by Neural Activity Synchronization M. Apolinario Arani Roy Kaushik Roy 22 2 0 24 May 2024
Lightweight Inference for Forward-Forward Algorithm Amin Aminifar Baichuan Huang Azra Abtahi Amir Aminifar 13 3 0 08 Apr 2024
Forward Learning of Graph Neural Networks Namyong Park Xing Wang Antoine Simoulin Shuai Yang Grey Yang Ryan Rossi Puja Trivedi Nesreen K. Ahmed GNN 33 1 0 16 Mar 2024
Decoupled Vertical Federated Learning for Practical Training on Vertically Partitioned Data Avi Amalanshu Yash Sirvi David I. Inouye FedML 27 1 0 06 Mar 2024
Scaling Supervised Local Learning with Augmented Auxiliary Networks Chenxiang Ma Jibin Wu Chenyang Si Kay Chen Tan 34 2 0 27 Feb 2024
A Review of Neuroscience-Inspired Machine Learning Alexander Ororbia A. Mali Adam Kohan Beren Millidge Tommaso Salvatori 27 7 0 16 Feb 2024
End-to-End Training Induces Information Bottleneck through Layer-Role Differentiation: A Comparative Analysis with Layer-wise Training Keitaro Sakamoto Issei Sato 11 4 0 14 Feb 2024
Two Tales of Single-Phase Contrastive Hebbian Learning R. Høier Christopher Zach 19 1 0 13 Feb 2024
Memoria: Resolving Fateful Forgetting Problem through Human-Inspired Memory Architecture Sangjun Park Jinyeong Bak CLL 14 5 0 04 Oct 2023
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis Axel Laborieux Friedemann Zenke 10 6 0 05 Sep 2023
Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey Gabriele Lagani Fabrizio Falchi Claudio Gennaro Giuseppe Amato AAML 33 6 0 30 Jul 2023
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey Gabriele Lagani Fabrizio Falchi Claudio Gennaro Giuseppe Amato 26 7 0 30 Jul 2023
Training an Ising Machine with Equilibrium Propagation Jérémie Laydevant Danijela Marković Julie Grollier 22 30 0 22 May 2023
The Integrated Forward-Forward Algorithm: Integrating Forward-Forward and Shallow Backpropagation With Local Losses De Tang 11 3 0 22 May 2023
Feed-Forward Optimization With Delayed Feedback for Neural Networks Katharina Flügel D. Coquelin Marie Weiel Charlotte Debus Achim Streit Markus Goetz AI4CE 19 7 0 26 Apr 2023
Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization R. Srinivasan Francesca Mignacco M. Sorbaro Maria Refinetti A. Cooper Gabriel Kreiman Giorgia Dellaferrera 17 15 0 10 Feb 2023
Blockwise Self-Supervised Learning at Scale Shoaib Ahmed Siddiqui David M. Krueger Yann LeCun Stéphane Deny SSL 17 15 0 03 Feb 2023
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks Tommaso Salvatori Yuhang Song Yordan Yordanov Beren Millidge Zheng R. Xu Lei Sha Cornelius Emde Rafal Bogacz Thomas Lukasiewicz 24 10 0 16 Nov 2022
Self-Supervised Learning Through Efference Copies Franz Scherr Qinghai Guo Timoleon Moraitis 11 10 0 17 Oct 2022
Activation Learning by Local Competitions Hongchao Zhou AAML 18 7 0 26 Sep 2022
Biologically Plausible Training of Deep Neural Networks Using a Top-down Credit Assignment Network Jian-Hui Chen Cheng-Lin Liu Zuoren Wang 11 0 0 01 Aug 2022
SoftHebb: Bayesian Inference in Unsupervised Hebbian Soft Winner-Take-All Networks Timoleon Moraitis Dmitry Toichkin Adrien Journé Yansong Chua Qinghai Guo AAML BDL 68 28 0 12 Jul 2021
Local plasticity rules can learn deep representations using self-supervised contrastive predictions Bernd Illing Jean-Paul Ventura G. Bellec W. Gerstner SSL DRL 46 67 0 16 Oct 2020