Deep learning with asymmetric connections and Hebbian updates

19 November 2018

Papers citing "Deep learning with asymmetric connections and Hebbian updates"

12 / 12 papers shown

Title
Pretraining with Random Noise for Fast and Robust Learning without Weight Transport Jeonghwan Cheon Sang Wan Lee Se-Bum Paik OOD 221 1 0 27 May 2024
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry Bariscan Bozkurt Cengiz Pehlevan A. Erdogan 35 1 0 07 Jun 2023
Meta-Learning Biologically Plausible Plasticity Rules with Random Feedback Pathways Navid Shervani-Tabar Robert Rosenbaum AI4CE 42 14 0 28 Oct 2022
Distinguishing Learning Rules with Brain Machine Interfaces Jacob P. Portes Christian Schmid James M. Murray 36 7 0 27 Jun 2022
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons Paul Haider B. Ellenberger Laura Kriener Jakob Jordan Walter Senn Mihai A. Petrovici 27 24 0 27 Oct 2021
Applications of the Free Energy Principle to Machine Learning and Neuroscience Beren Millidge DRL 22 7 0 30 Jun 2021
Reverse Differentiation via Predictive Coding Tommaso Salvatori Yuhang Song Thomas Lukasiewicz Rafal Bogacz Zhenghua Xu PINN 30 26 0 08 Mar 2021
Brain-Inspired Learning on Neuromorphic Substrates Friedemann Zenke Emre Neftci 38 89 0 22 Oct 2020
Local plasticity rules can learn deep representations using self-supervised contrastive predictions Bernd Illing Jean-Paul Ventura G. Bellec W. Gerstner SSL DRL 59 69 0 16 Oct 2020
Relaxing the Constraints on Predictive Coding Models Beren Millidge Alexander Tschantz A. Seth Christopher L. Buckley 26 23 0 02 Oct 2020
Predictive Coding Approximates Backprop along Arbitrary Computation Graphs Beren Millidge Alexander Tschantz Christopher L. Buckley 30 118 0 07 Jun 2020
Deep Semantic Segmentation of Natural and Medical Images: A Review Saeid Asgari Taghanaki Kumar Abhishek Joseph Paul Cohen Julien Cohen-Adad Ghassan Hamarneh SSeg VLM 45 667 0 16 Oct 2019