Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Reza Ebrahimpour

Showing results (1-10 of 48) with videos related to

Pageof 5
Sort By:
Neuroscience|December 2, 2022
Explaining Integration of Evidence Separated by Temporal Gaps with Frontoparietal Circuit ModelsZahra Azizi, Reza Ebrahimpour
Vision Research|August 31, 2025
Contextual feedback in object recognition: A biologically inspired computational model and human behavioral studyElahe Soltandoost, Karim Rajaei, Reza Ebrahimpour
Experimental Brain Research|May 2, 2018
Perceptual manifestations of auditory modulation during speech planningYaser Merrikhi, Reza Ebrahimpour, Ayoub Daliri
Frontiers in Computational Neuroscience|September 10, 2014
The importance of visual features in generic vs. specialized object recognition: a computational studyMasoud Ghodrati, Karim Rajaei, Reza Ebrahimpour
Vision Research|September 20, 2025
Corrigendum to "Contextual feedback in object recognition: A biologically inspired computational model and human behavioral study" [Vision Res. 237 (2025) 108679]Elahe Soltandoost, Karim Rajaei, Reza Ebrahimpour
Scientific Reports|November 2, 2017
Invariant object recognition is a personalized selection of invariant features in humans, not simply explained by hierarchical feed-forward vision modelsHamid Karimi-Rouzbahani, Nasour Bagheri, Reza Ebrahimpour
Neuroscience|January 16, 2017
Average activity, but not variability, is the dominant factor in the representation of object categories in the brainHamid Karimi-Rouzbahani, Nasour Bagheri, Reza Ebrahimpour
Scientific Reports|March 12, 2021
A temporal hierarchical feedforward model explains both the time and the accuracy of object recognitionHamed Heidari-Gorji, Reza Ebrahimpour, Sajjad Zabbah
Computational Intelligence and Neuroscience|May 20, 2021
A Recurrent Temporal Model for Semantic Levels Categorization Based on Human Visual SystemMohammad Hossein Karimi, Reza Ebrahimpour, Nasour Bagheri
Neuroscience|March 2, 2017
Hard-wired feed-forward visual mechanisms of the brain compensate for affine variations in object recognitionHamid Karimi-Rouzbahani, Nasour Bagheri, Reza Ebrahimpour
Pageof 5

Showing results (1-10 of 48) with videos related to

Sort By:
Pageof 5
Neuroscience|December 2, 2022
Explaining Integration of Evidence Separated by Temporal Gaps with Frontoparietal Circuit ModelsZahra Azizi, Reza Ebrahimpour
Vision Research|August 31, 2025
Contextual feedback in object recognition: A biologically inspired computational model and human behavioral studyElahe Soltandoost, Karim Rajaei, Reza Ebrahimpour
Experimental Brain Research|May 2, 2018
Perceptual manifestations of auditory modulation during speech planningYaser Merrikhi, Reza Ebrahimpour, Ayoub Daliri
Frontiers in Computational Neuroscience|September 10, 2014
The importance of visual features in generic vs. specialized object recognition: a computational studyMasoud Ghodrati, Karim Rajaei, Reza Ebrahimpour
Vision Research|September 20, 2025
Corrigendum to "Contextual feedback in object recognition: A biologically inspired computational model and human behavioral study" [Vision Res. 237 (2025) 108679]Elahe Soltandoost, Karim Rajaei, Reza Ebrahimpour
Scientific Reports|November 2, 2017
Invariant object recognition is a personalized selection of invariant features in humans, not simply explained by hierarchical feed-forward vision modelsHamid Karimi-Rouzbahani, Nasour Bagheri, Reza Ebrahimpour
Neuroscience|January 16, 2017
Average activity, but not variability, is the dominant factor in the representation of object categories in the brainHamid Karimi-Rouzbahani, Nasour Bagheri, Reza Ebrahimpour
Scientific Reports|March 12, 2021
A temporal hierarchical feedforward model explains both the time and the accuracy of object recognitionHamed Heidari-Gorji, Reza Ebrahimpour, Sajjad Zabbah
Computational Intelligence and Neuroscience|May 20, 2021
A Recurrent Temporal Model for Semantic Levels Categorization Based on Human Visual SystemMohammad Hossein Karimi, Reza Ebrahimpour, Nasour Bagheri
Neuroscience|March 2, 2017
Hard-wired feed-forward visual mechanisms of the brain compensate for affine variations in object recognitionHamid Karimi-Rouzbahani, Nasour Bagheri, Reza Ebrahimpour
Pageof 5