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.
- 1st ed. 2015.
- XVIII, 315 p. 110 illus., 77 illus. in color. online resource.
- Springer Series in Computational Neuroscience, 14 2197-1900 ; .
- Springer Series in Computational Neuroscience, 14 .
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.
9783319200378
10.1007/978-3-319-20037-8 doi
Medicine.
Neurosciences.
Neurology.
Neural networks (Computer science).
Biomedicine.
Neurosciences.
Neurology.
Mathematical Models of Cognitive Processes and Neural Networks.
Electronic books.
RC321-580
612.8
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.
9783319200378
10.1007/978-3-319-20037-8 doi
Medicine.
Neurosciences.
Neurology.
Neural networks (Computer science).
Biomedicine.
Neurosciences.
Neurology.
Mathematical Models of Cognitive Processes and Neural Networks.
Electronic books.
RC321-580
612.8