Credit Assignment in Neural Networks through Deep Feedback Control

Credit Assignment in Neural Networks through Deep Feedback Control

15 June 2021

Alexander Meulemans

Matilde Tristany Farinha

Javier García Ordónez

Pau Vilimelis Aceituno

João Sacramento

Papers citing "Credit Assignment in Neural Networks through Deep Feedback Control"

19 / 19 papers shown

Title
Counter-Current Learning: A Biologically Plausible Dual Network Approach for Deep Learning Chia-Hsiang Kao Bharath Hariharan 26 1 0 30 Sep 2024
A Unified Framework for Neural Computation and Learning Over Time S. Melacci Alessandro Betti Michele Casoni Tommaso Guidi Matteo Tiezzi Marco Gori AI4TS 28 0 0 18 Sep 2024
Contribute to balance, wire in accordance: Emergence of backpropagation from a simple, bio-plausible neuroplasticity rule Xinhao Fan S. P. Mysore 29 0 0 23 May 2024
Lightweight Inference for Forward-Forward Algorithm Amin Aminifar Baichuan Huang Azra Abtahi Amir Aminifar 26 3 0 08 Apr 2024
Dis-inhibitory neuronal circuits can control the sign of synaptic plasticity Julian Rossbroich Friedemann Zenke 18 1 0 30 Oct 2023
Intrinsic Biologically Plausible Adversarial Robustness Matilde Tristany Farinha Thomas Ortner Giorgia Dellaferrera Benjamin Grewe A. Pantazi AAML 36 1 0 29 Sep 2023
Improving equilibrium propagation without weight symmetry through Jacobian homeostasis Axel Laborieux Friedemann Zenke 10 6 0 05 Sep 2023
Duality Principle and Biologically Plausible Learning: Connecting the Representer Theorem and Hebbian Learning Yanis Bahroun D. Chklovskii Anirvan M. Sengupta 6 0 0 02 Aug 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 19 15 0 10 Feb 2023
Learning efficient backprojections across cortical hierarchies in real time Kevin Max Laura Kriener Garibaldi Pineda García Thomas Nowotny Ismael Jaras Walter Senn Mihai A. Petrovici OOD 17 14 0 20 Dec 2022
Bio-Inspired, Task-Free Continual Learning through Activity Regularization Francesco Lassig Pau Vilimelis Aceituno M. Sorbaro Benjamin Grewe CLL 25 8 0 08 Dec 2022
Biologically Plausible Training of Deep Neural Networks Using a Top-down Credit Assignment Network Jian-Hui Chen Cheng-Lin Liu Zuoren Wang 21 0 0 01 Aug 2022
A Theoretical Framework for Inference and Learning in Predictive Coding Networks Beren Millidge Yuhang Song Tommaso Salvatori Thomas Lukasiewicz Rafal Bogacz 24 12 0 21 Jul 2022
The least-control principle for local learning at equilibrium Alexander Meulemans Nicolas Zucchet Seijin Kobayashi J. Oswald João Sacramento 28 19 0 04 Jul 2022
Beyond accuracy: generalization properties of bio-plausible temporal credit assignment rules Yuhan Helena Liu Arna Ghosh Blake A. Richards E. Shea-Brown Guillaume Lajoie 21 9 0 02 Jun 2022
Thalamus: a brain-inspired algorithm for biologically-plausible continual learning and disentangled representations Ali Hummos CLL 6 11 0 24 May 2022
Minimizing Control for Credit Assignment with Strong Feedback Alexander Meulemans Matilde Tristany Farinha Maria R. Cervera João Sacramento Benjamin Grewe 14 16 0 14 Apr 2022
Error-driven Input Modulation: Solving the Credit Assignment Problem without a Backward Pass Giorgia Dellaferrera Gabriel Kreiman 21 53 0 27 Jan 2022
Target Propagation via Regularized Inversion Vincent Roulet Zaïd Harchaoui BDL AAML 19 4 0 02 Dec 2021