Bhattacharya B.S., Chowdhury F.N. (eds.) Validating Neuro-Computational Models of Neurological and Psychiatric Disorders

New York: Springer, 2015. — 329 p.This book is a collection of articles by leading researchers working at the cutting edge of neuro-computational modeling 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 modeling 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.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 Validates the Role of Single Neurons in Circuit Functions in Cerebellum Granular 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