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Schizophrenia is a severe yet treatable mental disorder, it is diagnosed using a multitude of primary and secondary symptoms. Diagnosis and treatment for each individual depends on the severity of the symptoms, therefore there is a need for…

Human-Computer Interaction · Computer Science 2023-10-26 Niki Maria Foteinopoulou , Ioannis Patras

Schizophrenia is one of the most disabling and difficult to treat of all human medical/health conditions, ranking in the top ten causes of disability worldwide. It has been a puzzle in part due to difficulty in identifying its basic,…

Computation and Language · Computer Science 2018-10-23 Efsun Sarioglu Kayi , Mona Diab , Luca Pauselli , Michael Compton , Glen Coppersmith

Current psychiatric research is in crisis. In this review I will describe the causes of this crisis and highlight recent efforts to overcome current challenges. One particularly promising approach is the emerging field of computational…

Neurons and Cognition · Quantitative Biology 2013-03-25 Thomas V. Wiecki

Schizophrenic patients suffer from hallucination which its causality is not yet fully understood. This paper attempts to approach this mystery from the perspective of quantum mechanical theories. A novel approach has been adopted to…

Neurons and Cognition · Quantitative Biology 2017-06-13 Omid Rezania

Schizophrenia is a debilitating, chronic mental disorder that significantly impacts an individual's cognitive abilities, behavior, and social interactions. It is characterized by subtle morphological changes in the brain, particularly in…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 Nagur Shareef Shaik , Teja Krishna Cherukuri , Vince Calhoun , Dong Hye Ye

Borderline personality disorder and narcissistic personality disorder are important nosographic entities and have been subject of intensive investigations. The currently prevailing psychodynamic theory for mental disorders is based on the…

Neurons and Cognition · Quantitative Biology 2016-10-26 Alessandro Fontana

Emotional disorders and psychological flourishing are the result of complex interactions between positive and negative affects that depend on external events and the subject's internal representations. Based on psychological data, we…

Applications · Statistics 2015-05-19 Jonathan Touboul , Alberto Romagnoni , Robert Schwartz

There has been a substantial amount of research on the relationship between hippocampal neurogenesis and behaviour over the past fifteen years, but the causal role that new neurons have on cognitive and affective behavioural tasks is still…

Neurons and Cognition · Quantitative Biology 2014-11-11 Stanley E. Lazic

We examine interacting cognitive modules of human biology which, in the asymptotic limit of long sequences of responses, define the output of an appropriate 'dual' information source. Applying a 'necessary condition' communication theory…

Neurons and Cognition · Quantitative Biology 2007-05-23 Rodrick Wallace

Schizophrenia is a complex psychiatric disorder involving changes in thought patterns, perception, mood, and behavior. The diagnosis of schizophrenia is challenging and requires that patients show two or more positive symptoms for at least…

Machine Learning · Computer Science 2021-02-17 Maritza Tynes , Mahboobeh Parsapoor

A general dynamical process model of psychiatric disorders is proposed that specifies the basic cognitive processes involved in the transition from beliefs about self, others and world that are normal and adaptive, to beliefs that are…

Adaptation and Self-Organizing Systems · Physics 2013-09-24 Brian P. O'Connor , Liane Gabora

This survey presents the most relevant neural network models of autism spectrum disorder and schizophrenia, from the first connectionist models to recent deep network architectures. We analyzed and compared the most representative symptoms…

Neurons and Cognition · Quantitative Biology 2019-11-22 Pablo Lanillos , Daniel Oliva , Anja Philippsen , Yuichi Yamashita , Yukie Nagai , Gordon Cheng

Schizophrenia is a severe mental health condition that requires a long and complicated diagnostic process. However, early diagnosis is vital to control symptoms. Deep learning has recently become a popular way to analyse and interpret…

Machine Learning · Computer Science 2022-04-01 Daniel Organisciak , Hubert P. H. Shum , Ephraim Nwoye , Wai Lok Woo

Pain is among the most salient of experiences while also, curiously, being among the most malleable. A large body of research has revealed that a multitude of explicit strategies can be used to effectively alter the attention-demanding…

Neurons and Cognition · Quantitative Biology 2017-04-11 Aaron Kucyi

Cognitive dissonance is the stress that comes from holding two conflicting thoughts simultaneously in the mind, usually arising when people are asked to choose between two detrimental or two beneficial options. In view of the…

Neurons and Cognition · Quantitative Biology 2012-06-05 Jose F. Fontanari , Marie-Claude Bonniot-Cabanac , Michel Cabanac , Leonid I. Perlovsky

Differential diagnosis of mental disorders remains a fundamental challenge in real-world clinical practice, where multiple conditions often exhibit overlapping symptoms. However, most existing public datasets are developed under…

This paper presents a predictive coding account of obsessive-compulsive disorder (OCD). We extend the predictive coding model to include the concept of a 'formal narrative', or temporal sequence of cognitive states inferred from sense data.…

Neurons and Cognition · Quantitative Biology 2015-06-09 P. J. Moore

Major depressive disorder (MDD) is a debilitating health condition affecting a substantial part of the world's population. At present, there is no biological theory of MDD, and treatment is partial at best. Here I present a theory of MDD…

Neurons and Cognition · Quantitative Biology 2024-08-14 Ari Rappoport

Causal decomposition has provided a powerful tool to analyze health disparity problems, by assessing the proportion of disparity caused by each mediator. However, most of these methods lack \emph{policy implications}, as they fail to…

Methodology · Statistics 2023-02-21 Xinwei Sun , Xiangyu Zheng , Jim Weinstein

Aphasias, selective language impairments which can arise from brain damage, reveal the functional organization of human language by providing causal links between affected brain regions and specific symptom profiles. Drawing on this…

Computation and Language · Computer Science 2026-05-18 Nathan Roll , Jill Kries , Laura Gwilliams , Cory Shain