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Seizures are complex phenomena spanning multiple spatial and temporal scales, from ion dynamics to communication between brain regions, from milliseconds (spikes) to days (interseizure intervals). Because of the existence of such multiple scales, the experimental evaluation of the mechanisms underlying the initiation, propagation, and termination of… (More)
Epileptic seizure dynamics span multiple scales in space and time. Understanding seizure mechanisms requires identifying the relations between seizure components within and across these scales, together with the analysis of their dynamical repertoire. Mathematical models have been developed to reproduce seizure dynamics across scales ranging from the single… (More)
In this paper a computational agent model is presented that describes and mimics processing in persons with a Post-Traumatic Stress Disorder (PTSD). The model is based on insights from the neurological literature on how specific phenomena that are typical for PTSD patients can occur, such as re-experiencing the strong feeling related to the original… (More)
This paper contributes a computational model for developing a Post-Traumatic Stress Disorder (PTSD), based on insights from the neurological literature. A number of simulations are presented that show how under specific circumstances the model develops PTSD-phenomena such as re-experiencing, dissociation and flashback episodes.
Epileptic seizures are characterized dynamically on multiple scales in space and time. Understanding the relations between components within and across those scales is among the fundamental goals of computational neuroscience [1,2], together with the analysis of the dynamical repertoire of such a neural system [3,4]. Previous research in this field has… (More)