Data-driven computational neuroscience: machine learning and statistical models/ Concha Bielza and Pedro Larranaga
Publication details: United Kingdom: CUP, 2021Description: xviii, 689 pages diagrams, illustrations 26 cmISBN:- 9781108493703
- 23 612.80727 B586
| Item type | Current library | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|
| Books | ISI Library, Kolkata | 612.80727 B586 (Browse shelf(Opens below)) | Available | 138517 |
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| 612.8 W976 Nervous system | 612.8028 Sm697 Exploratory analysis and data modeling in functional neuroimaging | 612.803 W776 Dictionary of biological psychology | 612.80727 B586 Data-driven computational neuroscience: machine learning and statistical models/ | 612.81 C567(1) Pain and itch | 612.81 C567(10) Biological activity of the leucocyte | 612.81046015118 B118 Stochastic biomathematical models |
Includes bibliographical references and index
Part I Introduction -- 1. Computational Neuroscience -- Part II Statistics -- 2. Exploratory data analysis -- 3. Probability theory and random variables -- Part III Supervised classification -- 5. Performance evaluation -- 6.Feature subset selection -- 7. Non- probabilistic classifiers -- 8. Probabilistic classifiers -- 9. Metaclassifiers -- 10. Multidimensional classifiers -- Part IV Unsupervised classification -- 11. Non-probabilistic clustering -- 12. Probabilistic clustering -- Part V Probabilistic graphical models -- 13. Bayesian networks -- 14. Markov networks -- Part VI Spatial Statistics -- 15. Spatial statistics
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