Cargando…

Neural Substrates of the Drift-Diffusion Model in Brain Disorders

Many studies on the drift-diffusion model (DDM) explain decision-making based on a unified analysis of both accuracy and response times. This review provides an in-depth account of the recent advances in DDM research which ground different DDM parameters on several brain areas, including the cortex...

Descripción completa

Detalles Bibliográficos
Autores principales:	Gupta, Ankur, Bansal, Rohini, Alashwal, Hany, Kacar, Anil Safak, Balci, Fuat, Moustafa, Ahmed A.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776710/ https://www.ncbi.nlm.nih.gov/pubmed/35069160 http://dx.doi.org/10.3389/fncom.2021.678232

Ejemplares similares

A Synaptic Pruning-Based Spiking Neural Network for Hand-Written Digits Classification
por: Faghihi, Faramarz, et al.
Publicado: (2022)

The Application of Unsupervised Clustering Methods to Alzheimer’s Disease
por: Alashwal, Hany, et al.
Publicado: (2019)

Molecular Docking and Dynamic Simulation of AZD3293 and Solanezumab Effects Against BACE1 to Treat Alzheimer's Disease
por: Hassan, Mubashir, et al.
Publicado: (2018)

Neural and behavioral substrates of subtypes of Parkinson’s disease
por: Moustafa, Ahmed A., et al.
Publicado: (2013)

Applying Big Data Methods to Understanding Human Behavior and Health
por: Moustafa, Ahmed A., et al.
Publicado: (2018)

Vicarious Rewards Modulate the Drift Rate of Evidence Accumulation From the Drift Diffusion Model
por: Bottemanne, Laure, et al.
Publicado: (2019)

Neural Substrate Expansion for the Restoration of Brain Function
por: Chen, H. Isaac, et al.
Publicado: (2016)

HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python
por: Wiecki, Thomas V., et al.
Publicado: (2013)

The Attentional Drift Diffusion Model of Simple Perceptual Decision-Making
por: Tavares, Gabriela, et al.
Publicado: (2017)

A flexible framework for simulating and fitting generalized drift-diffusion models
por: Shinn, Maxwell, et al.
Publicado: (2020)

Editorial: Integrating Time & Number: From Neural Bases to Behavioral Processes Through Development and Disease
por: Balcı, Fuat, et al.
Publicado: (2020)

Perceptual decision making: drift-diffusion model is equivalent to a Bayesian model
por: Bitzer, Sebastian, et al.
Publicado: (2014)

The Influence of Feedback on Task-Switching Performance: A Drift Diffusion Modeling Account
por: Cohen Hoffing, Russell, et al.
Publicado: (2018)

A Bayesian Reformulation of the Extended Drift-Diffusion Model in Perceptual Decision Making
por: Fard, Pouyan R., et al.
Publicado: (2017)

Hierarchical drift diffusion modeling uncovers multisensory benefit in numerosity discrimination tasks
por: Chau, Edwin, et al.
Publicado: (2021)

Mechanistic insights into TNFR1/MADD death domains in Alzheimer’s disease through conformational molecular dynamic analysis
por: Hassan, Mubashir, et al.
Publicado: (2021)

A Simplified Model of Communication Between Time Cells: Accounting for the Linearly Increasing Timing Imprecision
por: Zeki, Mustafa, et al.
Publicado: (2019)

The Racer’s Brain – How Domain Expertise is Reflected in the Neural Substrates of Driving
por: Lappi, Otto
Publicado: (2015)

Fixational drift is driven by diffusive dynamics in central neural circuitry
por: Ben-Shushan, Nadav, et al.
Publicado: (2022)

Drift in Diffusion Gradients
por: Marchesoni, Fabio
Publicado: (2013)

Prediction of Site Directed miRNAs as Key Players of Transcriptional Regulators Against Influenza C Virus Infection Through Computational Approaches
por: Hassan, Mubashir, et al.
Publicado: (2022)

An Alzheimer’s disease category progression sub-grouping analysis using manifold learning on ADNI
por: van der Haar, Dustin, et al.
Publicado: (2023)

Editorial: Psychological and neurobiological mechanisms of time perception and temporal information processing: insight from novel technical approaches
por: Balcı, Fuat, et al.
Publicado: (2023)

The SMAs: Neural Substrate of the Temporal Accumulator?
por: Casini, Laurence, et al.
Publicado: (2011)

The Neural Substrates of Subjective Time Dilation
por: Wittmann, Marc, et al.
Publicado: (2010)

Artificial neural networks for non-linear age correction of diffusion metrics in the brain
por: Kocar, Thomas D., et al.
Publicado: (2022)

A practical introduction to using the drift diffusion model of decision-making in cognitive psychology, neuroscience, and health sciences
por: Myers, Catherine E., et al.
Publicado: (2022)

Speed accuracy trade-off under response deadlines
por: Karşılar, Hakan, et al.
Publicado: (2014)

Dissociable mechanisms of speed-accuracy tradeoff during visual perceptual learning are revealed by a hierarchical drift-diffusion model
por: Zhang, Jiaxiang, et al.
Publicado: (2014)

A comparative study of drift diffusion and linear ballistic accumulator models in a reward maximization perceptual choice task
por: Goldfarb, Stephanie, et al.
Publicado: (2014)

Modeling neural differentiation on micropatterned substrates coated with neural matrix components
por: García-Parra, Patricia, et al.
Publicado: (2012)

Structural Neural Substrates of Reading the Mind in the Eyes
por: Sato, Wataru, et al.
Publicado: (2016)

The diffusion and drift of electrons in gases
por: Huxley, Leonard George Holden, et al.
Publicado: (1974)

On and Off switches in the brain
por: Moustafa, Ahmed A.
Publicado: (2015)

Brain serotonergic fibers suggest anomalous diffusion-based dropout in artificial neural networks
por: Lee, Christian, et al.
Publicado: (2022)

Role of Nuclear Imaging to Understand the Neural Substrates of Brain Disorders in Laboratory Animals: Current Status and Future Prospects
por: D'Elia, Annunziata, et al.
Publicado: (2020)

On the Complexity of Brain Disorders: A Symptom-Based Approach
por: Moustafa, Ahmed A., et al.
Publicado: (2016)

The enigma of Bálint's syndrome: neural substrates and cognitive deficits
por: Chechlacz, Magdalena, et al.
Publicado: (2014)

Neural substrates of similarity and rule-based strategies in judgment
por: von Helversen, Bettina, et al.
Publicado: (2014)

Expertise paradigms for investigating the neural substrates of stable memories
por: Campitelli, Guillermo, et al.
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_bv2j5bbk167q4a9j7qd03c6lnb