Predictive Coding Approximates Backprop along Arbitrary Computation Graphs

7 June 2020

Papers citing "Predictive Coding Approximates Backprop along Arbitrary Computation Graphs"

50 / 70 papers shown

Title
DMPCN: Dynamic Modulated Predictive Coding Network with Hybrid Feedback Representations A S M Sharifuzzaman Sagar Yu Chen Jun Hoong Chan 24 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 63 0 0 31 Mar 2025
Meta-Representational Predictive Coding: Biomimetic Self-Supervised Learning Alexander Ororbia Karl J. Friston Rajesh P. N. Rao SSL 52 0 0 22 Mar 2025
Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation Satoki Ishikawa Rio Yokota Ryo Karakida 41 0 0 04 Nov 2024
Protecting Feed-Forward Networks from Adversarial Attacks Using Predictive Coding Ehsan Ganjidoost Jeff Orchard AAML 27 0 0 31 Oct 2024
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
Enhancing Population-based Search with Active Inference N. Dehouche Daniel Friedman 21 0 0 18 Aug 2024
Predictive Coding Networks and Inference Learning: Tutorial and Survey B. V. Zwol Ro Jefferson E. V. D. Broek 50 0 0 04 Jul 2024
Towards Biologically Plausible Computing: A Comprehensive Comparison Changze Lv Yufei Gu Zhengkang Guo Zhibo Xu Yixin Wu ... Tianlong Li Jianhao Zhu Cenyuan Zhang Zixuan Ling Xiaoqing Zheng 28 1 0 23 Jun 2024
Online Training of Hopfield Networks using Predictive Coding Ehsan Ganjidoost Mallory A. Snow Jeff Orchard 23 0 0 20 Jun 2024
Employing Layerwised Unsupervised Learning to Lessen Data and Loss Requirements in Forward-Forward Algorithms Taewook Hwang H. Seo S. Jung 22 2 0 23 Apr 2024
Lightweight Inference for Forward-Forward Algorithm Amin Aminifar Baichuan Huang Azra Abtahi Amir Aminifar 26 3 0 08 Apr 2024
Dynamic planning in hierarchical active inference Matteo Priorelli Ivilin Peev Stoianov AI4CE 28 4 0 18 Feb 2024
A Review of Neuroscience-Inspired Machine Learning Alexander Ororbia A. Mali Adam Kohan Beren Millidge Tommaso Salvatori 27 7 0 16 Feb 2024
Nature-Inspired Local Propagation Alessandro Betti Marco Gori AI4CE 23 0 0 04 Feb 2024
Deep hybrid models: infer and plan in a dynamic world Matteo Priorelli Ivilin Peev Stoianov 13 3 0 01 Feb 2024
Learning in Deep Factor Graphs with Gaussian Belief Propagation Seth Nabarro Mark van der Wilk Andrew J Davison BDL 17 0 0 24 Nov 2023
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 21 1 0 27 Sep 2023
Spiking Neural Networks and Bio-Inspired Supervised Deep Learning: A Survey Gabriele Lagani Fabrizio Falchi Claudio Gennaro Giuseppe Amato 26 7 0 30 Jul 2023
Predictive Coding beyond Correlations Tommaso Salvatori Luca Pinchetti Amine MĆharrak Beren Millidge Thomas Lukasiewicz BDL CML 35 3 0 27 Jun 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
Understanding Predictive Coding as an Adaptive Trust-Region Method Francesco Innocenti Ryan Singh Christopher L. Buckley 16 0 0 29 May 2023
Understanding and Improving Optimization in Predictive Coding Networks Nick Alonso J. Krichmar Emre Neftci 71 7 0 23 May 2023
A method for the ethical analysis of brain-inspired AI M. Farisco Gianluca Baldassarre Emilio Cartoni A. Leach Mihai A. Petrovici A. Rosemann Arleen Salles B. Stahl Sacha Jennifer van Albada 24 2 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 32 7 0 26 Apr 2023
Predictive Coding as a Neuromorphic Alternative to Backpropagation: A Critical Evaluation Umais Zahid Qinghai Guo Z. Fountas BDL 12 7 0 05 Apr 2023
Curvature-Sensitive Predictive Coding with Approximate Laplace Monte Carlo Umais Zahid Qinghai Guo Karl J. Friston Z. Fountas 16 3 0 09 Mar 2023
Interpreting learning in biological neural networks as zero-order optimization method Johannes Schmidt-Hieber 20 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 22 7 0 09 Dec 2022
PC-SNN: Supervised Learning with Local Hebbian Synaptic Plasticity based on Predictive Coding in Spiking Neural Networks Mengting Lan Xiaogang Xiong Zixuan Jiang Y. Lou 19 4 0 24 Nov 2022
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 24 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
Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations Axel Laborieux Friedemann Zenke 26 32 0 01 Sep 2022
Preventing Deterioration of Classification Accuracy in Predictive Coding Networks Paul F Kinghorn Beren Millidge Christopher L. Buckley 30 5 0 15 Aug 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
A Theoretical Framework for Inference Learning Nick Alonso Beren Millidge J. Krichmar Emre Neftci 17 16 0 01 Jun 2022
Backpropagation at the Infinitesimal Inference Limit of Energy-Based Models: Unifying Predictive Coding, Equilibrium Propagation, and Contrastive Hebbian Learning Beren Millidge Yuhang Song Tommaso Salvatori Thomas Lukasiewicz Rafal Bogacz 13 21 0 31 May 2022
BayesPCN: A Continually Learnable Predictive Coding Associative Memory Jason Yoo F. Wood KELM 89 9 0 20 May 2022
Hybrid Predictive Coding: Inferring, Fast and Slow Alexander Tschantz Beren Millidge A. Seth Christopher L. Buckley 19 36 0 05 Apr 2022
Predictive Coding: Towards a Future of Deep Learning beyond Backpropagation? Beren Millidge Tommaso Salvatori Yuhang Song Rafal Bogacz Thomas Lukasiewicz AI4CE PINN 19 42 0 18 Feb 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
Differentiable Generalised Predictive Coding André Ofner Sebastian Stober BDL AI4CE 14 1 0 02 Dec 2021
Predictive coding, precision and natural gradients André Ofner Raihan Kabir Ratul Suhita Ghosh Sebastian Stober 17 3 0 12 Nov 2021