Data-driven computational neuroscience : (Record no. 54655)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02386nam a2200301 i 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | IN-BdCUP |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250103125021.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 190116s2021||||enk o ||1 0|eng|d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781108642989 (ebook) |
| Canceled/invalid ISBN | 9781108493703 (hardback) |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | IN-BdCUP |
| Language of cataloging | eng |
| Transcribing agency | IN-BdCUP |
| Description conventions | rda |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | QP357.5 |
| Item number | .B54 2021 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 612.8 |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Bielza, Concha |
| Relator term | Author |
| 245 #0 - TITLE STATEMENT | |
| Title | Data-driven computational neuroscience : |
| Remainder of title | machine learning and statistical models / |
| Statement of responsibility, etc. | Concha Bielza, Universidad Polite?cnica de Madrid, Pedro Larran?aga, Universidad Polite?cnica de Madrid. |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Cambridge : |
| Name of producer, publisher, distributor, manufacturer | Cambridge University Press, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2021 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (xviii, 689 pages) : |
| Other physical details | digital, PDF file(s). |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| 337 ## - MEDIA TYPE | |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 500 ## - GENERAL NOTE | |
| General note | Title from publisher's bibliographic system (viewed on 12 Nov 2020). |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Data-driven computational neuroscience facilitates the transformation of data into insights into the structure and functions of the brain. This introduction for researchers and graduate students is the first in-depth, comprehensive treatment of statistical and machine learning methods for neuroscience. The methods are demonstrated through case studies of real problems to empower readers to build their own solutions. The book covers a wide variety of methods, including supervised classification with non-probabilistic models (nearest-neighbors, classification trees, rule induction, artificial neural networks and support vector machines) and probabilistic models (discriminant analysis, logistic regression and Bayesian network classifiers), meta-classifiers, multi-dimensional classifiers and feature subset selection methods. Other parts of the book are devoted to association discovery with probabilistic graphical models (Bayesian networks and Markov networks) and spatial statistics with point processes (complete spatial randomness and cluster, regular and Gibbs processes). Cellular, structural, functional, medical and behavioral neuroscience levels are considered. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Neurosciences |
| -- | Neurosciences |
| General subdivision | Data processing.Statistical methods. |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Larran?aga, Pedro, |
| Relator term | author. |
| 776 ## - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| International Standard Book Number | 9781108642989 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Electronic Book Resource |
| Uniform Resource Identifier | <a href="https://doi.org/10.1017/9781108642989">https://doi.org/10.1017/9781108642989</a> |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | E-Book |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Source of acquisition | Order Number | Cost, normal purchase price | Bill number | Total checkouts | Full call number | Barcode | Date last seen | Uniform resource identifier | Actual Cost, replacement price | Bill Date | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Ranganathan Library | Ranganathan Library | 01/01/2025 | Today & Tomorrow's Printers and Publishers | CUP/LIB/24 | 270.00 | TTPP/202/2024-25 | 612.8 | E01846 | 03/01/2025 | https://doi.org/10.1017/9781108642989 | 270.00 | 13/11/2024 | E-Book |