Discerning Mouse Trajectory Features With the Drift Diffusion Model

2021 ◽  
Vol 45 (10) ◽  
Author(s):  
Anton Leontyev ◽  
Takashi Yamauchi
Keyword(s):  
Diffusion Model ◽  
Drift Diffusion Model ◽  
Drift Diffusion ◽  
Trajectory Features

scholarly journals Informing cognitive abstractions through neuroimaging: The neural drift diffusion model.

2015 ◽  
Vol 122 (2) ◽  
pp. 312-336 ◽  
Author(s):  
Brandon M. Turner ◽  
Leendert van Maanen ◽  
Birte U. Forstmann
Keyword(s):  
Diffusion Model ◽  
Drift Diffusion Model ◽  
Drift Diffusion

Incorporating photon recycling into the analytical drift-diffusion model of high efficiency solar cells

2014 ◽  
Vol 116 (19) ◽  
pp. 194504 ◽  
Author(s):  
Matthew P. Lumb ◽  
Myles A. Steiner ◽  
John F. Geisz ◽  
Robert J. Walters
Keyword(s):  
Solar Cells ◽  
Diffusion Model ◽  
High Efficiency ◽  
Drift Diffusion Model ◽  
Drift Diffusion ◽  
High Efficiency Solar Cells ◽  
Photon Recycling

A REVIEW ON THE QUANTUM DRIFT DIFFUSION MODEL

2002 ◽  
Vol 31 (4-6) ◽  
pp. 367-395 ◽  
Author(s):  
René Pinnau
Keyword(s):  
Diffusion Model ◽  
Drift Diffusion Model ◽  
Drift Diffusion

scholarly journals An entropic quantum drift-diffusion model for electron transport in resonant tunneling diodes

2007 ◽  
Vol 221 (1) ◽  
pp. 226-249 ◽  
Author(s):  
Pierre Degond ◽  
Samy Gallego ◽  
Florian Méhats
Keyword(s):  
Electron Transport ◽  
Diffusion Model ◽  
Resonant Tunneling ◽  
Resonant Tunneling Diodes ◽  
Drift Diffusion Model ◽  
Drift Diffusion ◽  
Tunneling Diodes

scholarly journals Toolbox for the Reinforcement Learning Drift Diffusion Model

2019 ◽  
Author(s):  
Mads Pedersen ◽  
Michael Frank
Keyword(s):  
Reinforcement Learning ◽  
Diffusion Model ◽  
Drift Diffusion Model ◽  
Drift Diffusion

scholarly journals Neural Substrates of the Drift-Diffusion Model in Brain Disorders

2022 ◽  
Vol 15 ◽  
Author(s):  
Ankur Gupta ◽  
Rohini Bansal ◽  
Hany Alashwal ◽  
Anil Safak Kacar ◽  
Fuat Balci ◽  
...  
Keyword(s):  
Diffusion Model ◽  
Response Times ◽  
Autism Spectrum ◽  
Brain Disorders ◽  
Functional Impairments ◽  
Drift Diffusion Model ◽  
Drift Diffusion ◽  
Obsessive Compulsive ◽  
Theoretical Understanding ◽  
Compulsive Disorder

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 and basal ganglia. Furthermore, we discuss the changes in DDM parameters due to structural and functional impairments in several clinical disorders, including Parkinson's disease, Attention Deficit Hyperactivity Disorder (ADHD), Autism Spectrum Disorders, Obsessive-Compulsive Disorder (OCD), and schizophrenia. This review thus uses DDM to provide a theoretical understanding of different brain disorders.

scholarly journals A single chip system for sensor data fusion based on a Drift-diffusion model

2017 ◽  
Author(s):  
Shufan Yang ◽  
Kongfatt Wong-Lin ◽  
Inaki Rano ◽  
Anthony Lindsay
Keyword(s):  
Data Fusion ◽  
Diffusion Model ◽  
Sensor Data ◽  
Drift Diffusion Model ◽  
Single Chip ◽  
Drift Diffusion ◽  
Sensor Data Fusion

Simulations of Electrical Discharges in Air Using Stabilized Drift-Diffusion Model

2018 ◽  
Vol 46 (8) ◽  
pp. 3031-3039 ◽  
Author(s):  
Shailendra Singh ◽  
Yuriy V. Serdyuk ◽  
Stanislaw M. Gubanski
Keyword(s):  
Diffusion Model ◽  
Drift Diffusion Model ◽  
Electrical Discharges ◽  
Drift Diffusion
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