Due to recent research, the neurobiological elements behind mental disorders such as depression become more and more clear. This paper presents an integrated computational model based on neurobiological insights and psychological theories. The model is used to analyse the effect of existing psychological treatments. The simulation experiments give an insight in the interaction between different cognitive components in mental disorders and illustrates why different treatments can have different effects for people with different genetic dispositions
Over the last half century or so, artificial intelligence models have failed to match the flexibilit...
© 2016 Elsevier Ltd.Computational modeling and associated methods have greatly advanced our understa...
Cognitive alterations have long been reported in patients with mental health disorders, though with ...
Due to recent research, the neurobiological elements behind mental disorders such as depression beco...
A comprehensive introduction to the world of brain and behavior computational models This book provi...
Computational models have become an integral part of basic neuroscience and have facilitated some of...
Computational Psychiatry is a heterogeneous field at the intersection of computational neuro-science...
Computational ideas pervade many areas of science and have an integrative explanatory role in neuros...
Computational psychiatry is a rapidly growing field attempting to translate advances in computationa...
New antidepressants and individualized approaches to treatment, matching specific therapies to indiv...
Unlike many psychiatric disorders, schizophrenia has received much attention in the computational mo...
The computational underpinnings of positive psychotic symptoms have recently received significant at...
A major reason for disappointing progress of psychiatric diagnostics and nosology is the lack of tes...
Translating advances in neuroscience into benefits for patients with mental illness presents enormou...
Depression is a highly prevalent clinical condition which has been estimated to affect a growing pa...
Over the last half century or so, artificial intelligence models have failed to match the flexibilit...
© 2016 Elsevier Ltd.Computational modeling and associated methods have greatly advanced our understa...
Cognitive alterations have long been reported in patients with mental health disorders, though with ...
Due to recent research, the neurobiological elements behind mental disorders such as depression beco...
A comprehensive introduction to the world of brain and behavior computational models This book provi...
Computational models have become an integral part of basic neuroscience and have facilitated some of...
Computational Psychiatry is a heterogeneous field at the intersection of computational neuro-science...
Computational ideas pervade many areas of science and have an integrative explanatory role in neuros...
Computational psychiatry is a rapidly growing field attempting to translate advances in computationa...
New antidepressants and individualized approaches to treatment, matching specific therapies to indiv...
Unlike many psychiatric disorders, schizophrenia has received much attention in the computational mo...
The computational underpinnings of positive psychotic symptoms have recently received significant at...
A major reason for disappointing progress of psychiatric diagnostics and nosology is the lack of tes...
Translating advances in neuroscience into benefits for patients with mental illness presents enormou...
Depression is a highly prevalent clinical condition which has been estimated to affect a growing pa...
Over the last half century or so, artificial intelligence models have failed to match the flexibilit...
© 2016 Elsevier Ltd.Computational modeling and associated methods have greatly advanced our understa...
Cognitive alterations have long been reported in patients with mental health disorders, though with ...