Single State Update Predictive Coding training for Time Series Forecasting and Anomaly Detection

By Matteo Cardoni, Sam LerouxSource:

arXiv cs.LGarXiv:2608.24697v1 Announce Type: new Abstract: Predictive Coding (PC) is a neural learning paradigm that enables parallelizable

neural networklayer updates. However, the main bottleneck of PC Networks (PCN) is the sequential backwards error propagation. To tackle this, we introduce atrainingtechnique that pairs a Generative PCN with a support Encoding PCN. The two PCNs are trained in parallel to match their neural activations, without sequential propagation. We apply this to time series anomaly detection and show that our approach results in more stable, continuous, online learning.Get AI news in your inbox

Daily digest of what matters in AI.