| 000 | 02292nam a22003498i 4500 | ||
|---|---|---|---|
| 001 | CR9781316882610 | ||
| 003 | UkCbUP | ||
| 005 | 20200124160155.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 160617s2019||||enk o ||1 0|eng|d | ||
| 020 | _a9781316882610 (ebook) | ||
| 020 | _z9781107184862 (hardback) | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
||
| 050 | 0 | 4 |
_aQP363.3 _b.C49 2019 |
| 082 | 0 | 0 |
_a612.8/2 _223 |
| 100 | 1 |
_aChung, Moo K., _eauthor. |
|
| 245 | 1 | 0 |
_aBrain network analysis / _cMoo K. Chung. |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2019. |
|
| 300 |
_a1 online resource (xii, 329 pages) : _bdigital, PDF file(s). |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 500 | _aTitle from publisher's bibliographic system (viewed on 30 May 2019). | ||
| 505 | 0 | _aStatistical preliminary -- Brain network nodes and edges -- Graph theory -- Correlation networks -- Big brain network data -- Network simulations -- Persistent homology -- Diffusions on graphs -- Sparse networks -- Brain network distances -- Combinatorial inferences for networks -- Series expansion of connectivity matrices. | |
| 520 | _aThis tutorial reference serves as a coherent overview of various statistical and mathematical approaches used in brain network analysis, where modeling the complex structures and functions of the human brain often poses many unique computational and statistical challenges. This book fills a gap as a textbook for graduate students while simultaneously articulating important and technically challenging topics. Whereas most available books are graph theory-centric, this text introduces techniques arising from graph theory and expands to include other different models in its discussion on network science, regression, and algebraic topology. Links are included to the sample data and codes used in generating the book's results and figures, helping to empower methodological understanding in a manner immediately usable to both researchers and students. | ||
| 650 | 0 | _aNeural networks (Neurobiology) | |
| 650 | 0 | _aNeural circuitry. | |
| 650 | 0 | _aBrain. | |
| 776 | 0 | 8 |
_iPrint version: _z9781107184862 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1017/9781316882610 |
| 999 |
_c514372 _d514370 |
||