Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain

11 September 2020

Papers citing "Activation Relaxation: A Local Dynamical Approximation to Backpropagation in the Brain"

7 / 7 papers shown

Title
Biologically-Motivated Learning Model for Instructed Visual Processing R. Abel S. Ullman 25 0 0 04 Jun 2023
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 16 24 0 27 Oct 2021
Applications of the Free Energy Principle to Machine Learning and Neuroscience Beren Millidge DRL 20 7 0 30 Jun 2021
Feature Alignment as a Generative Process T. S. Farias Jonas Maziero DiffM BDL 21 1 0 23 Jun 2021
A brain basis of dynamical intelligence for AI and computational neuroscience J. Monaco Kanaka Rajan Grace M. Hwang AI4CE 26 6 0 15 May 2021
Relaxing the Constraints on Predictive Coding Models Beren Millidge Alexander Tschantz A. Seth Christopher L. Buckley 16 23 0 02 Oct 2020
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 264 4,489 0 23 Jan 2020