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Biological learning and control : how the brain builds representations, predicts events, and makes decisions /
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.
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, Mass. :
MIT Press,
©2012.
©2012 |
| Colección: | Computational neuroscience.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.