Titlebook: Computational Neurology and Psychiatry; Péter Érdi,Basabdatta Sen Bhattacharya,Amy L. Coch Book 2017 Springer International Publishing AG

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https://doi.org/10.1007/978-3-642-73205-8ost common pathology: Parkinson’s disease (PD). The chapter begins with a review of the basal ganglia and PD, which briefly describes the anatomical structure and connectivity as well as typical dynamics of neuronal activity which is mostly oscillatory. Also we provide a short review of computationa

Hemiplegia

https://doi.org/10.1007/978-3-642-73205-8his involves understanding volume transmission by which neurons in a brain nucleus project to distant nuclei and change the local biochemistry there. Examples include the serotonergic projection from the dorsal raphe nucleus to the striatum and the dopaminergic projection from the substantial nigra

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https://doi.org/10.1007/978-3-031-55552-7ulation of Attachment Theory. It does this by reconceptualising it as a cognitive architecture that can operate within multi-agent simulations. This is relevant to computational psychiatry because attachment phenomena are broad in scope and range from healthy everyday interactions to psychopathology

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https://doi.org/10.1007/978-3-031-55552-7e the pathological fluctuation in mood that is characteristic of this disorder. These models are surprisingly diverse in their dynamical principles, e.g. whether mood is periodic or whether mania and depression are stable points when ignoring external influences. This chapters presents a selective s

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Péter Érdi,Basabdatta Sen Bhattacharya,Amy L. CochReports on computational studies of brain and mind disease.Describes computational models and their use in practice.Includes background information on the biology of the diseases.With take-home messag