000 | 03218nam a22004695i 4500 | ||
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001 | 978-981-10-1822-0 | ||
003 | DE-He213 | ||
005 | 20180206183130.0 | ||
007 | cr nn 008mamaa | ||
008 | 160831s2016 si | s |||| 0|eng d | ||
020 |
_a9789811018220 _9978-981-10-1822-0 |
||
050 | 4 | _aRC321-580 | |
072 | 7 |
_aPSAN _2bicssc |
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072 | 7 |
_aMED057000 _2bisacsh |
|
082 | 0 | 4 |
_a612.8 _223 |
245 | 1 | 0 |
_aSignal Processing in Neuroscience _h[recurso electrónico] / _cedited by Xiaoli Li. |
264 | 1 |
_aSingapore : _bSpringer Singapore : _bImprint: Springer, _c2016. |
|
300 |
_aVI, 288 p. 106 illus., 87 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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505 | 0 | _aBrief history and development of electrophysiological recording techniques in neuroscience -- Adaptive Spike Sorting with a Gaussian Mixture Model -- Causality of Spike Trains Based on Entropy -- Quantification of Spike-LFP Synchronization -- Artifact removal in EEG recordings -- Order Time Series Analysis of Neural Signals -- Dynamical Similarity Analysis of EEG Recordings -- Entropy Measures in Neural Signals -- Synchronization Measures in EEG Signals -- Estimating Coupling Direction between Neuronal Populations -- The comodulation measure of neuronal oscillations -- Multivariate EEG synchronization strength measures -- Cross-Frequency Coupling in Neural Oscillations -- Nonnegative Matrix and Tensor Decomposition of EEG. | |
520 | _aThis book reviews cutting-edge developments in neural signalling processing (NSP), systematically introducing readers to various models and methods in the context of NSP. Neuronal Signal Processing is a comparatively new field in computer sciences and neuroscience, and is rapidly establishing itself as an important tool, one that offers an ideal opportunity to forge stronger links between experimentalists and computer scientists. This new signal-processing tool can be used in conjunction with existing computational tools to analyse neural activity, which is monitored through different sensors such as spike trains, local filed potentials and EEG. The analysis of neural activity can yield vital insights into the function of the brain. This book highlights the contribution of signal processing in the area of computational neuroscience by providing a forum for researchers in this field to share their experiences to date. | ||
650 | 0 | _aMedicine. | |
650 | 0 | _aNeurosciences. | |
650 | 0 | _aBioinformatics. | |
650 | 0 | _aBiomedical engineering. | |
650 | 1 | 4 | _aBiomedicine. |
650 | 2 | 4 | _aNeurosciences. |
650 | 2 | 4 | _aComputational Biology/Bioinformatics. |
650 | 2 | 4 | _aBiomedical Engineering. |
700 | 1 |
_aLi, Xiaoli. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9789811018213 |
856 | 4 | 0 |
_zLibro electrónico _uhttp://148.231.10.114:2048/login?url=http://dx.doi.org/10.1007/978-981-10-1822-0 |
912 | _aZDB-2-SBL | ||
942 | _cLIBRO_ELEC | ||
999 |
_c227728 _d227728 |