This lecture delves into the ideas behind sensor representations and biological learning rules, following a bottom-up approach to understand the interactions between sensor information and perception. It explores how individual connections between neurons change and how complex sensor representations emerge, covering neural networks, learning equations, receptive field development, and the OYAS rule.