Probabilistic Models of the Brain: Perception and Neural Function (Neural Information Processing)

Description

Neurophysiological, neuroanatomical, and brain imaging studies have helped to shed light on how the brain transforms raw sensory information into a form that is useful for goal-directed behavior. A fundamental question that is seldom addressed by these studies, however, is why the brain uses the types of representations it does and what evolutionary advantage, if any, these representations confer. It is difficult to address such questions directly via animal experiments. A promising alternative is to use probabilistic principles such as maximum likelihood and Bayesian inference to derive models of brain function.

This book surveys some of the current probabilistic approaches to modeling and understanding brain function. Although most of the examples focus on vision, many of the models and techniques are applicable to other modalities as well. The book presents top-down computational models as well as bottom-up neurally motivated models of brain function. The topics covered include Bayesian and information-theoretic models of perception, probabilistic theories of neural coding and spike timing, computational models of lateral and cortico-cortical feedback connections, and the development of receptive field properties from natural signals.



Thank you!

Disclaimer:
Contents of this page are indexed from the Internet. All actions are under your responsability. Email us to report illegal contents or external links and we'll remove them immediately.

Please check the description for download links if any or do a search to find alternative books.

Can't Download?
Please search mirrors if you can't find download links for "Probabilistic Models of the Brain: Perception and Neural Function (Neural Information Processing)" in "Description" and someone else may update the links. Check the comments when back to find any updates.

Search Mirrors
Maybe some mirror pages will be helpful, search this book at top of this page or click here to find more info.

1. Ebooks list page : 1120
2. Probabilistic Models of the Brain: Perception and Neural Function (Neural Information Processing)
3. Probabilistic Models of the Brain: Perception and Neural Function (Neural Information Processing)
4. Rajesh P. N. Rao, Bruno A. Olshausen - Probabilistic Models of the Brain: Perception and Neural Function (Repost)
5. Toward Brain-Computer Interfacing (Neural Information Processing)
6. Bayesian Brain: Probabilistic Approaches to Neural Coding
7. Bayesian Brain: Probabilistic Approaches to Neural Coding (Computational Neuroscience) (Re Upload)
8. Neural Networks and Brain Function by Edmund Rolls and Alessandro Treves
9. Dynamic Brain - from Neural Spikes to Behaviors: 12th International Summer School on Neural Networks
10. The Book of Genesis: Exploring Realistic Neural Models With the General Neural Simulation System
11. Theory of Neural Information Processing Systems
12. Theory of Neural Information Processing Systems
13. Theory of Neural Information Processing Systems
14. Theory of Neural Information Processing Systems
15. Theory of Neural Information Processing Systems
16. Theory of Neural Information Processing Systems