Unraveling Sensory Prediction Errors

This chapter investigates how the neocortex processes sensory prediction error signals, presenting findings from experiments with mice that reveal the brain's learning capabilities in response to unexpected stimuli. It highlights the hierarchical nature of neural circuits, the role of different cell types, and the implications of these processes for machine learning. By drawing parallels between biological mechanisms and technological frameworks, the chapter underscores the complexity of sensory processing and prediction in the brain.