Add to ORKGThe nascent field of computational psychiatry includes the application of computational and statistical methods to understand dysfunction in psychiatric disease through the medium of normal information processing and cognition. I will discuss our attempts to use Bayesian decision theory to provide a framework for understanding disorders – coarsely, solving the wrong problem, solving the right problem incorrectly, or solving the right problem correctly, but in the wrong environment. I will illustrate aspects of these flaws using examples drawn from anhedonia, rumination and learned helplessness
The manifold symptoms of depression are common and often transient features of healthy life that are...
The manifold symptoms of depression are common and often transient features of healthy life that are...
Computational modelling has been gaining an increasing amount of support from the neuroscience comm...
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...
The aetiology of psychiatric disorders remains poorly understood, despite significant progress in ne...
Computational psychiatry is a nascent field that attempts to use multi-level analyses of the underly...
Psychiatric disorders profoundly impair many aspects of decision making. Poor choices have negative ...
Recent research in cognitive neuroscience has begun to uncover the processes underlying increasingly...
This article outlines how a core concept from theories of homeostasis and cybernetics, the inference...
This article outlines how a core concept from theories of homeostasis and cybernetics, the inference...
Computational Psychiatry aims to describe the relationship between the brain's neurobiology, its env...
Translating advances in neuroscience into benefits for patients with mental illness presents enormou...
Substantial efforts across the fields of computer science, artificial intelligence, statistics, oper...
Computational Psychiatry is a heterogeneous field at the intersection of computational neuro-science...
The manifold symptoms of depression are common and often transient features of healthy life that are...
The manifold symptoms of depression are common and often transient features of healthy life that are...
Computational modelling has been gaining an increasing amount of support from the neuroscience comm...
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...
The aetiology of psychiatric disorders remains poorly understood, despite significant progress in ne...
Computational psychiatry is a nascent field that attempts to use multi-level analyses of the underly...
Psychiatric disorders profoundly impair many aspects of decision making. Poor choices have negative ...
Recent research in cognitive neuroscience has begun to uncover the processes underlying increasingly...
This article outlines how a core concept from theories of homeostasis and cybernetics, the inference...
This article outlines how a core concept from theories of homeostasis and cybernetics, the inference...
Computational Psychiatry aims to describe the relationship between the brain's neurobiology, its env...
Translating advances in neuroscience into benefits for patients with mental illness presents enormou...
Substantial efforts across the fields of computer science, artificial intelligence, statistics, oper...
Computational Psychiatry is a heterogeneous field at the intersection of computational neuro-science...
The manifold symptoms of depression are common and often transient features of healthy life that are...
The manifold symptoms of depression are common and often transient features of healthy life that are...
Computational modelling has been gaining an increasing amount of support from the neuroscience comm...