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Backpropagation at the Infinitesimal Inference Limit of Energy-Based
  Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive
  Hebbian Learning

Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning

31 May 2022
Beren Millidge
Yuhang Song
Tommaso Salvatori
Thomas Lukasiewicz
Rafal Bogacz
ArXivPDFHTML

Papers citing "Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning"

9 / 9 papers shown
Title
Benchmarking Predictive Coding Networks -- Made Simple
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
127
5
0
17 Feb 2025
Associative memory and dead neurons
Associative memory and dead neurons
V. Fanaskov
Ivan V. Oseledets
46
1
0
02 Oct 2024
Predictive Coding Networks and Inference Learning: Tutorial and Survey
Predictive Coding Networks and Inference Learning: Tutorial and Survey
B. V. Zwol
Ro Jefferson
E. V. D. Broek
50
0
0
04 Jul 2024
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
PhiNets: Brain-inspired Non-contrastive Learning Based on Temporal Prediction Hypothesis
Satoki Ishikawa
Makoto Yamada
Han Bao
Yuki Takezawa
66
0
0
23 May 2024
Active Sensing with Predictive Coding and Uncertainty Minimization
Active Sensing with Predictive Coding and Uncertainty Minimization
A. Sharafeldin
N. Imam
Hannah Choi
20
2
0
02 Jul 2023
Correlative Information Maximization: A Biologically Plausible Approach
  to Supervised Deep Neural Networks without Weight Symmetry
Correlative Information Maximization: A Biologically Plausible Approach to Supervised Deep Neural Networks without Weight Symmetry
Bariscan Bozkurt
C. Pehlevan
A. Erdogan
27
1
0
07 Jun 2023
Biologically-Motivated Learning Model for Instructed Visual Processing
Biologically-Motivated Learning Model for Instructed Visual Processing
R. Abel
S. Ullman
20
0
0
04 Jun 2023
Understanding and Improving Optimization in Predictive Coding Networks
Understanding and Improving Optimization in Predictive Coding Networks
Nick Alonso
J. Krichmar
Emre Neftci
73
7
0
23 May 2023
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive
  Coding Networks
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
1