1. Space in the mammalian brain -- 2. Building a space map -- 3. The space inside -- 4. Sensorimotor integration and state estimation -- 5. Bayesian estimation and inference -- 6. Learning to make accurate predictions -- 7. Learning faster -- 8. The multiple timescales of memory -- 9. Building generative models : structural learning and identification of the learner -- 10. Costs and rewards of motor commands -- 11. Cost of time in motor control -- 12. Optimal feedback control
Summary
In this work, the authors present a theoretical framework for understanding the regularity of the brain's perceptions, its reactions to sensory stimuli, and its control of movements
