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|a 9783319200378
|9 978-3-319-20037-8
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|a 10.1007/978-3-319-20037-8
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|a Validating Neuro-Computational Models of Neurological and Psychiatric Disorders
|h [electronic resource] /
|c edited by Basabdatta Sen Bhattacharya, Fahmida N. Chowdhury.
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|a 1st ed. 2015.
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|a Cham :
|b Springer International Publishing :
|b Imprint: Springer,
|c 2015.
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|a XVIII, 315 p.
|b online resource.
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|a text
|b txt
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|a Springer Series in Computational Neuroscience,
|x 2197-1919 ;
|v 14
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|a Introduction -- 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.
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|a This 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 field of 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.
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|a Neurosciences.
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|a Neurology .
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|a Neural networks (Computer science) .
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|a Neuroscience.
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|a Neurology.
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|a Mathematical Models of Cognitive Processes and Neural Networks.
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|a Bhattacharya, Basabdatta Sen.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a Chowdhury, Fahmida N.
|e editor.
|4 edt
|4 http://id.loc.gov/vocabulary/relators/edt
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|a SpringerLink (Online service)
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|t Springer Nature eBook
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|i Printed edition:
|z 9783319200361
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776 |
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|i Printed edition:
|z 9783319200385
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|i Printed edition:
|z 9783319371368
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830 |
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|a Springer Series in Computational Neuroscience,
|x 2197-1919 ;
|v 14
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856 |
4 |
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|u https://doi.uam.elogim.com/10.1007/978-3-319-20037-8
|z Texto Completo
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|a ZDB-2-SXB
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|a Biomedical and Life Sciences (SpringerNature-11642)
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|a Biomedical and Life Sciences (R0) (SpringerNature-43708)
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