5 citations · 10 across the 5 of their papers we have counts for
4 papers · 1 filter
On the Infinite Width and Depth Limits of Predictive Coding Networks
Francesco Innocenti, El Mehdi Achour, Rafal Bogacz
Predictive coding (PC) is a biologically plausible alternative to standard backpropagation (BP) that minimises an energy function with respect to network activities before updating…
Bidirectional predictive coding
Gaspard Oliviers, Mufeng Tang, Rafal Bogacz
Predictive coding (PC) is an influential computational model of visual learning and inference in the brain. Classical PC was proposed as a top-down generative model, where the brai…
ePC: Fast and Deep Predictive Coding in Digital Simulation
Cédric Goemaere, Gaspard Oliviers, Rafal Bogacz +1
Predictive Coding (PC) offers a brain-inspired alternative to backpropagation for neural network training, described as a physical system minimizing its internal energy. However, i…
Benchmarking Predictive Coding Networks -- Made Simple
Luca Pinchetti, Chang Qi, Oleh Lokshyn +9
In this work, we tackle the problems of efficiency and scalability for predictive coding networks (PCNs) in machine learning. To do so, we propose a library, called PCX, that focus…