Learning is a dynamic process influenced by various neurotransmitters, each playing a unique role. Dopamine is often highlighted, but norepinephrine and acetylcholine also significantly impact how we adapt to changes in our environment. The discussion delves into applying Bayesian inference to understand latent variables in perception, bridging neuroscience with machine learning principles.
