Unlike many psychiatric disorders, schizophrenia has received much attention in the computational modeling field. These models vary in their focus: some models of schizophrenia focus on simulating cognitive impairments (e.g. working memory, learning, and latent inhibition), while other models address schizophrenia symptoms (mostly positive symptoms, including hallucinations and delusions), as well as the effect of antipsychotic treatment. In this chapter, we review these models and then we discuss potential future computational modeling work that can aid in better understanding schizophrenia symptoms and neural mechanism of antipsychotics
The etiology of schizophrenia remains largely elusive, thus dampening the effectiveness of current t...
The computational underpinnings of positive psychotic symptoms have recently received significant at...
Exploiting the biological and psychological plausibility of parallel distributed processing, a neura...
Computational Psychiatry is a heterogeneous field at the intersection of computational neuro-science...
Uli Grasemann and Risto Miikkulainen are with the Department of Computer Science, University of Texa...
The pharmaceutical industry is approaching unsustainable research costs to develop new drug therapie...
Computational neuroscience models can be used to understand the diminished stability and noisy neuro...
Abstract In order to explore psychopathological symptoms, researchers in cognitive science use comp...
Computational models have become an integral part of basic neuroscience and have facilitated some of...
Functional neuroimaging has made fundamental contributions to our understanding of brain function. I...
We implement and study a computational model of Stevens ' [1992] theory of the pathogenesis of ...
A large number of cellular level abnormalities have been identified in the hippocampus of schizophre...
Schizophrenia is a serious and chronic mental disorder, which brings not only suffering to patients,...
Due to recent research, the neurobiological elements behind mental disorders such as depression beco...
Schizophrenia is a heterogeneous spectrum disorder often associated with detrimental negative sympto...
The etiology of schizophrenia remains largely elusive, thus dampening the effectiveness of current t...
The computational underpinnings of positive psychotic symptoms have recently received significant at...
Exploiting the biological and psychological plausibility of parallel distributed processing, a neura...
Computational Psychiatry is a heterogeneous field at the intersection of computational neuro-science...
Uli Grasemann and Risto Miikkulainen are with the Department of Computer Science, University of Texa...
The pharmaceutical industry is approaching unsustainable research costs to develop new drug therapie...
Computational neuroscience models can be used to understand the diminished stability and noisy neuro...
Abstract In order to explore psychopathological symptoms, researchers in cognitive science use comp...
Computational models have become an integral part of basic neuroscience and have facilitated some of...
Functional neuroimaging has made fundamental contributions to our understanding of brain function. I...
We implement and study a computational model of Stevens ' [1992] theory of the pathogenesis of ...
A large number of cellular level abnormalities have been identified in the hippocampus of schizophre...
Schizophrenia is a serious and chronic mental disorder, which brings not only suffering to patients,...
Due to recent research, the neurobiological elements behind mental disorders such as depression beco...
Schizophrenia is a heterogeneous spectrum disorder often associated with detrimental negative sympto...
The etiology of schizophrenia remains largely elusive, thus dampening the effectiveness of current t...
The computational underpinnings of positive psychotic symptoms have recently received significant at...
Exploiting the biological and psychological plausibility of parallel distributed processing, a neura...