Full Description
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.
Contents
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.
