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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"

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Title
Efficient Online Learning with Predictive Coding Networks: Exploiting Temporal Correlations Darius Masoum Zadeh-Jousdani Elvin Hajizada Eyke Hüllermeier 49 0 0 29 Oct 2025
Bio-Inspired Artificial Neural Networks based on Predictive Coding Davide Casnici Charlotte Frenkel Justin Dauwels 44 0 0 12 Aug 2025
Introduction to Predictive Coding Networks for Machine Learning Mikko Stenlund AI4CE 133 0 0 31 May 2025
Bidirectional predictive coding Gaspard Oliviers Mufeng Tang Rafal Bogacz 182 0 0 29 May 2025
DMPCN: Dynamic Modulated Predictive Coding Network with Hybrid Feedback Representations A S M Sharifuzzaman Sagar Yu Chen Jun Hoong Chan 150 0 0 20 Apr 2025
Bayesian Predictive Coding Alexander Tschantz Magnus T. Koudahl Hampus Linander Lancelot Da Costa Conor Heins Jeff Beck Christopher L. Buckley BDL 299 1 0 31 Mar 2025
Meta-Representational Predictive Coding: Biomimetic Self-Supervised Learning Alexander Ororbia Karl J. Friston Rajesh P. N. Rao SSL 211 1 0 22 Mar 2025
Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target PropagationInternational Conference on Learning Representations (ICLR), 2024 Satoki Ishikawa Rio Yokota Ryo Karakida 338 0 0 04 Nov 2024
Protecting Feed-Forward Networks from Adversarial Attacks Using Predictive Coding Ehsan Ganjidoost Jeff Orchard AAML 135 0 0 31 Oct 2024
A Predictive Approach To Enhance Time-Series ForecastingNature Communications (Nat. Commun.), 2024 Skye Gunasekaran Assel Kembay Hugo J. Ladret Rui-Jie Zhu Laurent Udo Perrinet Omid Kavehei Nhan Duy Truong AI4TS 230 3 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 277 0 0 18 Sep 2024
Enhancing Population-based Search with Active Inference N. Dehouche Daniel Friedman 132 0 0 18 Aug 2024
Predictive Coding Networks and Inference Learning: Tutorial and Survey B. V. Zwol Ro Jefferson E. V. D. Broek 273 3 0 04 Jul 2024
Towards Biologically Plausible Computing: A Comprehensive Comparison Changze Lv Yufei Gu Wenhao Liu Zhibo Xu Yixin Wu ... Changze Lv Jianhao Zhu Cenyuan Zhang Zixuan Ling Xiaoqing Zheng 222 4 0 23 Jun 2024
Online Training of Hopfield Networks using Predictive Coding Ehsan Ganjidoost Mallory A. Snow Jeff Orchard 112 1 0 20 Jun 2024
Employing Layerwised Unsupervised Learning to Lessen Data and Loss Requirements in Forward-Forward Algorithms Taewook Hwang H. Seo S. Jung 205 2 0 23 Apr 2024
Lightweight Inference for Forward-Forward Algorithm Amin Aminifar Baichuan Huang Azra Abtahi Amir Aminifar 439 4 0 08 Apr 2024
Dynamic planning in hierarchical active inference Matteo Priorelli Ivilin Peev Stoianov AI4CE 165 7 0 18 Feb 2024
A Review of Neuroscience-Inspired Machine Learning Alexander Ororbia A. Mali Adam Kohan Beren Millidge Tommaso Salvatori 244 15 0 16 Feb 2024
Nature-Inspired Local Propagation Alessandro Betti Marco Gori AI4CE 211 0 0 04 Feb 2024
Deep hybrid models: infer and plan in a dynamic world Matteo Priorelli Ivilin Peev Stoianov 338 2 0 01 Feb 2024
Learning in Deep Factor Graphs with Gaussian Belief PropagationInternational Conference on Machine Learning (ICML), 2023 Seth Nabarro Mark van der Wilk Andrew J Davison BDL 312 0 0 24 Nov 2023
Brain-like Flexible Visual Inference by Harnessing Feedback-Feedforward Alignment Tahereh Toosi Elias B. Issa 178 4 0 31 Oct 2023
Confidence and second-order errors in cortical circuitsPNAS Nexus (PNAS Nexus), 2023 Arno Granier Yixuan Zhang Walter Senn Dong Yu 224 4 0 27 Sep 2023
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey Gabriele Lagani Fabrizio Falchi Claudio Gennaro Giuseppe Amato 147 20 0 30 Jul 2023
Predictive Coding beyond CorrelationsInternational Conference on Machine Learning (ICML), 2023 Tommaso Salvatori Luca Pinchetti Amine MĆharrak Beren Millidge Thomas Lukasiewicz BDL CML 303 6 0 27 Jun 2023
Biologically-Motivated Learning Model for Instructed Visual Processing R. Abel S. Ullman 211 0 0 04 Jun 2023
A General Framework for Interpretable Neural Learning based on Local Information-Theoretic Goal FunctionsProceedings of the National Academy of Sciences of the United States of America (PNAS), 2023 Abdullah Makkeh Marcel Graetz Andreas C. Schneider David A. Ehrlich V. Priesemann Michael Wibral 240 9 0 03 Jun 2023
Understanding Predictive Coding as an Adaptive Trust-Region Method Francesco Innocenti Ryan Singh Christopher L. Buckley 282 1 0 29 May 2023
Understanding and Improving Optimization in Predictive Coding NetworksAAAI Conference on Artificial Intelligence (AAAI), 2023 Nick Alonso J. Krichmar Emre Neftci 246 10 0 23 May 2023
A method for the ethical analysis of brain-inspired AIArtificial Intelligence Review (AIR), 2023 M. Farisco Gianluca Baldassarre Emilio Cartoni A. Leach Mihai A. Petrovici A. Rosemann Arleen Salles B. Stahl Sacha Jennifer van Albada 136 5 0 18 May 2023
The generalized Hierarchical Gaussian Filter Lilian A. E. Weber Peter Thestrup Waade Nicolas Legrand Anna Hedvig Moller K. Stephan C. Mathys 87 8 0 18 May 2023
Feed-Forward Optimization With Delayed Feedback for Neural Networks Katharina Flügel D. Coquelin Marie Weiel Charlotte Debus Achim Streit Markus Goetz AI4CE 240 10 0 26 Apr 2023
Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical EvaluationNeural Computation (Neural Comput.), 2023 Umais Zahid Qinghai Guo Zafeirios Fountas BDL 157 13 0 05 Apr 2023
Curvature-Sensitive Predictive Coding with Approximate Laplace Monte Carlo Umais Zahid Qinghai Guo Karl J. Friston Zafeirios Fountas 124 4 0 09 Mar 2023
Interpreting learning in biological neural networks as zero-order optimization method Johannes Schmidt-Hieber 142 4 0 27 Jan 2023
Is Bio-Inspired Learning Better than Backprop? Benchmarking Bio Learning vs. Backprop Manas Gupta Sarthak Ketanbhai Modi Hang Zhang Joon Hei Lee J. Lim 237 7 0 09 Dec 2022
PC-SNN: Predictive Coding-based Local Hebbian Plasticity Learning in Spiking Neural Networks Haidong Wang Xiaogang Xiong Mengting Lan Y. Lou Zixuan Jiang KC Santosh Shimin Wang Renxin Zhong 167 4 0 24 Nov 2022
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding NetworksInternational Conference on Learning Representations (ICLR), 2022 Tommaso Salvatori Yuhang Song Yordan Yordanov Beren Millidge Zheng R. Xu Lei Sha Cornelius Emde Rafal Bogacz Thomas Lukasiewicz 290 16 0 16 Nov 2022
Predictive Coding beyond Gaussian DistributionsNeural Information Processing Systems (NeurIPS), 2022 Luca Pinchetti Tommaso Salvatori Yordan Yordanov Beren Millidge Yuhang Song Thomas Lukasiewicz UQCV BDL 186 16 0 07 Nov 2022
On the Relationship Between Variational Inference and Auto-Associative MemoryNeural Information Processing Systems (NeurIPS), 2022 Louis Annabi Alexandre Pitti M. Quoy BDL 147 9 0 14 Oct 2022
Hebbian Deep Learning Without FeedbackInternational Conference on Learning Representations (ICLR), 2022 Adrien Journé Hector Garcia Rodriguez Qinghai Guo Timoleon Moraitis AAML 209 66 0 23 Sep 2022
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size OscillationsNeural Information Processing Systems (NeurIPS), 2022 Axel Laborieux Friedemann Zenke 282 48 0 01 Sep 2022
Preventing Deterioration of Classification Accuracy in Predictive Coding NetworksInternational Workshop on Affective Interactions (AI), 2022 Paul F Kinghorn Beren Millidge Christopher L. Buckley 167 8 0 15 Aug 2022
A Theoretical Framework for Inference and Learning in Predictive Coding NetworksInternational Conference on Learning Representations (ICLR), 2022 Beren Millidge Yuhang Song Tommaso Salvatori Thomas Lukasiewicz Rafal Bogacz 240 19 0 21 Jul 2022
The Free Energy Principle drives neuromorphic development C. Fields Karl J. Friston J. Glazebrook Michael Levin A. Marcianò 162 19 0 20 Jul 2022
Short-Term Plasticity Neurons Learning to Learn and ForgetInternational Conference on Machine Learning (ICML), 2022 Hector Garcia Rodriguez Qinghai Guo Timoleon Moraitis 195 15 0 28 Jun 2022
A Theoretical Framework for Inference LearningNeural Information Processing Systems (NeurIPS), 2022 Nick Alonso Beren Millidge J. Krichmar Emre Neftci 258 21 0 01 Jun 2022
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian LearningInternational Conference on Learning Representations (ICLR), 2022 Beren Millidge Yuhang Song Tommaso Salvatori Thomas Lukasiewicz Rafal Bogacz 321 27 0 31 May 2022
BayesPCN: A Continually Learnable Predictive Coding Associative MemoryNeural Information Processing Systems (NeurIPS), 2022 Jason Yoo F. Wood KELM 353 13 0 20 May 2022