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2006.04182
Cited By
Predictive Coding Approximates Backprop along Arbitrary Computation Graphs
7 June 2020
Beren Millidge
Alexander Tschantz
Christopher L. Buckley
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Papers citing
"Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"
25 / 25 papers shown
Title
Future-Guided Learning: A Predictive Approach To Enhance Time-Series Forecasting
Skye Gunasekaran
Assel Kembay
Hugo J. Ladret
Rui-Jie Zhu
Laurent Udo Perrinet
Omid Kavehei
Jason Eshraghian
AI4TS
34
0
0
19 Oct 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
Brain-like Flexible Visual Inference by Harnessing Feedback-Feedforward Alignment
Tahereh Toosi
Elias B. Issa
14
2
0
31 Oct 2023
Confidence and second-order errors in cortical circuits
Arno Granier
Yixuan Zhang
Walter Senn
Dong Yu
16
1
0
27 Sep 2023
Biologically-Motivated Learning Model for Instructed Visual Processing
R. Abel
S. Ullman
20
0
0
04 Jun 2023
A General Framework for Interpretable Neural Learning based on Local Information-Theoretic Goal Functions
Abdullah Makkeh
Marcel Graetz
Andreas C. Schneider
David A. Ehrlich
V. Priesemann
Michael Wibral
44
1
0
03 Jun 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
Predictive Coding beyond Gaussian Distributions
Luca Pinchetti
Tommaso Salvatori
Yordan Yordanov
Beren Millidge
Yuhang Song
Thomas Lukasiewicz
UQCV
BDL
27
11
0
07 Nov 2022
On the Relationship Between Variational Inference and Auto-Associative Memory
Louis Annabi
Alexandre Pitti
M. Quoy
BDL
22
5
0
14 Oct 2022
Hebbian Deep Learning Without Feedback
Adrien Journé
Hector Garcia Rodriguez
Qinghai Guo
Timoleon Moraitis
AAML
18
48
0
23 Sep 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 Free Energy Principle drives neuromorphic development
C. Fields
Karl J. Friston
J. Glazebrook
Michael Levin
A. Marcianò
27
14
0
20 Jul 2022
Short-Term Plasticity Neurons Learning to Learn and Forget
Hector Garcia Rodriguez
Qinghai Guo
Timoleon Moraitis
13
12
0
28 Jun 2022
Hybrid Predictive Coding: Inferring, Fast and Slow
Alexander Tschantz
Beren Millidge
A. Seth
Christopher L. Buckley
19
36
0
05 Apr 2022
Learning on Arbitrary Graph Topologies via Predictive Coding
Tommaso Salvatori
Luca Pinchetti
Beren Millidge
Yuhang Song
Tianyi Bao
Rafal Bogacz
Thomas Lukasiewicz
30
33
0
31 Jan 2022
Associative Memories via Predictive Coding
Tommaso Salvatori
Yuhang Song
Yujian Hong
Simon Frieder
Lei Sha
Zhenghua Xu
Rafal Bogacz
Thomas Lukasiewicz
16
61
0
16 Sep 2021
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
On the relationship between predictive coding and backpropagation
Robert Rosenbaum
17
28
0
20 Jun 2021
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective
Akhilan Boopathy
Ila Fiete
16
9
0
15 Jun 2021
Tightening the Biological Constraints on Gradient-Based Predictive Coding
Nick Alonso
Emre Neftci
11
7
0
30 Apr 2021
Bidirectional Interaction between Visual and Motor Generative Models using Predictive Coding and Active Inference
Louis Annabi
Alexandre Pitti
M. Quoy
16
10
0
19 Apr 2021
Reverse Differentiation via Predictive Coding
Tommaso Salvatori
Yuhang Song
Thomas Lukasiewicz
Rafal Bogacz
Zhenghua Xu
PINN
14
26
0
08 Mar 2021
Predictive Coding Can Do Exact Backpropagation on Convolutional and Recurrent Neural Networks
Tommaso Salvatori
Yuhang Song
Thomas Lukasiewicz
Rafal Bogacz
Zhenghua Xu
PINN
13
24
0
05 Mar 2021
Predictive coding feedback results in perceived illusory contours in a recurrent neural network
Zhaoyang Pang
Callum Biggs O'May
Bhavin Choksi
R. V. Rullen
11
30
0
03 Feb 2021
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
226
4,453
0
23 Jan 2020
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