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| 001 | 81458 | ||
| 003 | ES-MaUEC | ||
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| 007 | cr nn 008mamaa | ||
| 008 | 151030s2015 gw | s |||| 0|eng d | ||
| 020 | _a9783319200378 | ||
| 024 | 7 |
_a10.1007/978-3-319-20037-8 _2doi |
|
| 050 | 4 |
_aQP357.5 _bV355 2015 |
|
| 245 | 1 | 0 |
_aValidating Neuro-Computational Models of Neurological and Psychiatric Disorders _cedited by Basabdatta Sen Bhattacharya, Fahmida N. Chowdhury. |
| 250 | _a1st ed. 2015. | ||
| 260 |
_aCham, Switzerland _bSpringer _c2015 |
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| 300 |
_a1 recurso en línea (XVIII, 315 páginas) _b110 ilustraciones, 77 ilustraciones en color |
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| 336 |
_aTexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 490 | 0 |
_aSpringer Series in Computational Neuroscience _x2197-1900 _v14 |
|
| 505 | 0 | _aIntroduction -- Discovery and validation of biomarkers based on computational models of normal and pathological hippocampal rhythms -- DCM, Conductance based models and Clinical applications -- Computational Models of Closed-loop Deep Brain Stimulation -- A multiscale 'working brain' model -- How to render Neural Fields more realistic -- Multilevel computational modeling in epilepsy: classical studies and recent advances -- Computational modeling of neuronal dysfunction at molecular level reveals the role of single neurons in circuit functions in cerebellum granule layer -- Modeling Cortical and Thalamocortical Synaptic Loss and Compensation Mechanisms in Alzheimer's disease -- Toward Networks from Spikes -- Epileptogenic networks: applying network analysis techniques to human seizure activity. | |
| 520 | 3 | _aThis book is a collection of articles by leading researchers working at the cutting edge of neuro-computational modelling of neurological and psychiatric disorders. Each article contains model validation techniques used in the context of the specific problem being studied. Validation is essential for neuro-inspired computational models to become useful tools in the understanding and treatment of disease conditions. Currently, the immense diversity in neuro-computational modelling approaches for investigating brain diseases has created the need for a structured and coordinated approach to benchmark and standardise validation methods and techniques in this fieldÂ{u0BE6} research. This book serves as a step towards a systematic approach to validation of neuro-computational models used for studying brain diseases, and should be useful for all neuro-computational modellers. | |
| 710 | 2 |
_aSpringerLink (Online service) _0Local _9106996 |
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| 942 |
_2lcc _cLE |
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| 988 | _aEBOOK, EBSPRINGER, asignarmaterias_11febrero | ||
| 650 | 7 |
_aNeurociencias _2embne _9158907 |
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| 650 | 2 | 7 |
_aNeurociencias _2embne _9158907 |
| 650 | 7 |
_aRedes neuronales artificiales _2embne _9678664 |
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| 700 | 1 |
_aBhattacharya, Basabdatta Sen _eeditor literario _993898 _0Local |
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| 700 | 1 |
_aChowdhury, Fahmida N. _eeditor literario _0Local _993899 |
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| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-20037-8 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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