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Validating neuro-computational model...

Bhattacharya, Basabdatta Sen.

Validating neuro-computational models of neurological and psychiatric disorders

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Validating neuro-computational models of neurological and psychiatric disordersedited by Basabdatta Sen Bhattacharya, Fahmida N. Chowdhury.
其他作者:	Bhattacharya, Basabdatta Sen.
出版者:	Cham :Springer International Publishing :2015.
面頁冊數:	xviii, 315 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Computational neuroscience.
電子資源:	http://dx.doi.org/10.1007/978-3-319-20037-8
ISBN:	9783319200378$q(electronic bk.)

Validating neuro-computational models of neurological and psychiatric disorders
Validating neuro-computational models of neurological and psychiatric disorders[electronic resource] /edited by Basabdatta Sen Bhattacharya, Fahmida N. Chowdhury. - Cham :Springer International Publishing :2015. - xviii, 315 p. :ill., digital ;24 cm. - Springer series in computational neuroscience,v.142197-1900 ;. - Springer series in computational neuroscience ;v.10..

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.

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.

ISBN: 9783319200378$q(electronic bk.)

Standard No.: 10.1007/978-3-319-20037-8doiSubjects--Topical Terms:

190429
Computational neuroscience.

LC Class. No.: QP357.5

Dewey Class. No.: 616.8

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505 0 $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.
520 $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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