TY - BOOK AU - Bhattacharya,Basabdatta Sen AU - Chowdhury,Fahmida N. ED - SpringerLink (Online service) TI - Validating Neuro-Computational Models of Neurological and Psychiatric Disorders T2 - Springer Series in Computational Neuroscience, SN - 9783319200378 AV - RC321-580 U1 - 612.8 23 PY - 2015/// CY - Cham PB - Springer International Publishing, Imprint: Springer KW - medicine KW - Neurosciences KW - Neurology KW - Neural networks (Computer science) KW - Biomedicine KW - Mathematical Models of Cognitive Processes and Neural Networks N1 - 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 N2 - 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 fieldĀ  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 UR - http://dx.doi.org/10.1007/978-3-319-20037-8 ER -