Training brain-inspired predictive coding models in Python

In this blog post, we first discuss how predictive coding learns. Then, how predictive coding models can be trained using open-source libraries. Finally, we showcase the remarkable flexibility of predictive coding to perform tasks such as classification, image generation, denoising, and image completion all with a single model. The importance of predictive coding for neuroscience cannot be overstated. It offers a unified theory that bridges numerous aspects of brain function, from perception and motor control to learning and memory. By viewing the brain as a predictive organ, this framework sheds light on how neural circuits might minimize the difference between expected and received signals, thereby refining our understanding of neural efficiency and adaptation. <a href="https://medium.com/@oliviers.gaspard/training-brain-inspired-predictive-coding-models-in-python-5a7011e2779d">Read More</a>