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Related papers: Cognitive maps and schizophrenia

200 papers

The invariance of natural objects under perceptual changes is possibly encoded in the brain by symmetries in the graph of synaptic connections. The graph can be established via unsupervised learning in a biologically plausible process…

Neural and Evolutionary Computing · Computer Science 2023-05-30 Helmut Linde

How does the mind organize thoughts? The hippocampal-entorhinal complex is thought to support domain-general representation and processing of structural knowledge of arbitrary state, feature and concept spaces. In particular, it enables the…

Artificial Intelligence · Computer Science 2022-02-24 Paul Stoewer , Christian Schlieker , Achim Schilling , Claus Metzner , Andreas Maier , Patrick Krauss

In spite of years of research, the mechanisms that underlie the development of schizophrenia, as well as its relapse, symptomatology, and treatment, continue to be a mystery. The absence of appropriate analytic tools to deal with the…

Computer Vision and Pattern Recognition · Computer Science 2022-10-12 Vigneshwaran Shankaran , Bhaskaran V

Although there have been so many studies on schizophrenia under the framework of predictive coding, works focusing on treatment are very preliminary. A model-oriented, operationalist, and comprehensive understanding of schizophrenia would…

Neurons and Cognition · Quantitative Biology 2023-09-14 Lingyu Li , Chunbo Li

There is a vast supply of prior art that study models for mental processes. Some studies in psychology and philosophy approach it from an inner perspective in terms of experiences and percepts. Others such as neurobiology or…

Artificial Intelligence · Computer Science 2012-03-20 Rina Panigrahy , Li Zhang

This paper reports nano-CT analysis of brain tissues of schizophrenia and control cases. The analysis revealed that: (1) neuronal structures vary between individuals, (2) the mean curvature of distal neurites of the schizophrenia cases was…

Human mentality develops with age and is altered in psychiatric disorders, though their underlying mechanism is unknown. In this study, we analyzed nanometer-scale three-dimensional structures of brain tissues of the anterior cingulate…

Brain functional connectivity alterations, that is, pathological changes in the signal exchange between areas of the brain, occur in several neurological diseases, including neurodegenerative and neuropsychiatric ones. They consist in…

Neurons and Cognition · Quantitative Biology 2026-03-25 Maria Mannone , Patrizia Ribino , Peppino Fazio , Norbert Marwan

Scientific studies have shown that non-conscious stimuli and representations influence information processing during conscious experience. In the light of such evidence, questions about potential functional links between non-conscious brain…

Neurons and Cognition · Quantitative Biology 2018-05-24 Birgitta Dresp-Langley

Cytoarchitectonic maps provide microstructural reference parcellations of the brain, describing its organization in terms of the spatial arrangement of neuronal cell bodies as measured from histological tissue sections. Recent work provided…

Image and Video Processing · Electrical Eng. & Systems 2021-06-02 Christian Schiffer , Katrin Amunts , Stefan Harmeling , Timo Dickscheid

In sufficiently complex tasks, it is expected that as a side effect of learning to solve a problem, a neural network will learn relevant abstractions of the representation of that problem. This has been confirmed in particular in machine…

Artificial Intelligence · Computer Science 2023-12-12 Mathieu d'Aquin

Deep reinforcement learning (DRL) algorithms have the potential to provide new insights into psychiatric disorders. Here we create a DRL model of schizophrenia: a complex psychotic disorder characterized by anhedonia, avoidance, temporal…

Neurons and Cognition · Quantitative Biology 2025-10-30 Xena Al-Hejji , Santina Duarte , Jose Guillermo Gomez Castro , Edgar Bermudez Contreras , Eric Chalmers

Imaging neuroscience links brain activation maps to behavior and cognition via correlational studies. Due to the nature of the individual experiments, based on eliciting neural response from a small number of stimuli, this link is…

Machine Learning · Statistics 2013-11-21 Yannick Schwartz , Bertrand Thirion , Gaël Varoquaux

We discuss the possibility of multiple underlying etiologies of the condition currently labeled as schizophrenia. We support this hypothesis with a theoretical model of the prefrontal-limbic system. We show how the dynamical behavior of…

Neurons and Cognition · Quantitative Biology 2008-08-19 Anca Radulescu

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

Current theories of decision making suggest that the neural circuits in mammalian brains (including humans) computationally combine representations of the past (memory), present (perception), and future (agentic goals) to take actions that…

Brain Functional Networks (BFNs), graph theoretical models of brain activity data, provide a systems perspective of complex functional connectivity within the brain. Neurological disorders are known to have basis in abnormal functional…

Quantitative Methods · Quantitative Biology 2016-08-30 Megha Singh , Rahul Badhwar , Ganesh Bagler

What is the relationship between brain and behavior? The answer to this question necessitates characterizing the mapping between structure and function. The aim of this paper is to discuss broad issues surrounding the link between structure…

Neurons and Cognition · Quantitative Biology 2015-06-19 Luiz Pessoa

This paper discusses two main themes. First, it investigates the formation of a spatiotemporal cognitive map (mental image) of a road network in travelers memory, which entails the travelers global conceptual understanding of congestion or…

Physics and Society · Physics 2020-02-25 Navid Khademi , Ramin Saedi

The neural networks of the brain are capable of learning statistical input regularities on the basis of synaptic learning, functional integration into increasingly larger, interconnected neural assemblies, and self organization. This self…

Robotics · Computer Science 2022-06-10 Birgitta Dresp-Langley