Analog-Friendly Predictive Coding without Activation Derivatives
cs.LG, cs.AI, cs.NE
Submitted: 2026-09-26
Updated: 2026-09-26
Code: https://github.com/thebuckleylab/jpc
Terminology
Sources
- Solving the compute crisis with physics-based ASICs
- ePC: Fast and Deep Predictive Coding in Digital Simulation
- $\mu$PC: Scaling Predictive Coding to 100+ Layer Networks
- On the Infinite Width and Depth Limits of Predictive Coding Networks
- Local Loss Optimization in the Infinite Width: Stable Parameterization of Predictive Coding Networks and Target Propagation
- Training a Predictive Coding Network on ImageNet using Equilibrium Propagation
- On Neural Differential Equations
- A Blueprint for Equilibrium-Based Differentiable Continuous-Variable Thermodynamic Computing
- Relaxing the Constraints on Predictive Coding Models
- Benchmarking Predictive Coding Networks -- Made Simple
- Towards the Training of Deeper Predictive Coding Neural Networks
- Augmented Lagrangian Predictive Coding
- Generalised Perceptron Learning
- Generative Models on Analog Hardware with Dynamics
- Physical Foundation Models: Fixed hardware implementations of large-scale neural networks
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