“Papers of School of Cognitive Sciences”

 

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  61. N. Doostani, G. Hossein-Zadeh and M. Vaziri-Pashkam,
The normalization model predicts responses in the human visual cortex during object-based attention,
12(2023),   [abstract]

DOI: https://doi.org/10.7554/eLife.75726

   62. F. Tabibian, K. Azimzadeh, V. Shaygannejad, F. Ashtari , I. Adibi and M. Sanayei,
Patterns of attention deficit in relapsing and progressive phenotypes of multiple sclerosis,
Scientific Reports 13(2023),   [abstract]
DOI: https://doi.org/10.1038/s41598-023-40327-x

   63. F. Zamanirad, M. Fattahi, H. Amirteymori, Z. Mousavi and A. Haghparast,
The role of orexin-1 receptors within the ventral tegmental area in the extinction and reinstatement of methamphetamine place preference,
Behav Brain Res (2023),   [abstract]
DOI: https://doi.org/10.1016/j.bbr.2023.114608

   64. M. Abbaszadeh, G. Hossein-Zadeh, S. Seyed-Allaei and M. Vaziri-Pashkam,
Disturbance of Information in Superior Parietal Lobe during Dual-task Interference in a Simulated Driving task,
Cortex (2023),   [abstract]
DOI: https://doi.org/10.1016/j.cortex.2023.07.004

   65. T. Attary, L. Noorbala and A. Ghazizadeh,
The Covid-19 pandemic had polarizing effects on trait scores depending on a person's resilience and predispositions: A longitudinal prospective study,
Heliyon 9(2023),   [abstract]
DOI: https://doi.org/10.1016/j.heliyon.2023.e18399

   66. N. Ramezani, F. Davanian, S. Naghavi, R. Riahi, G. Zandieh , S. Danesh-Mobarhan, F. Ashtari, V. Shaygannejad, M. Sanayei and I. Adibi,
Thalamic asymmetry in Multiple Sclerosis,
Mult Scler Relat Disord 77(2023),   [abstract]
DOI: https://doi.org/10.1016/j.msard.2023.104853

   67. M. Fattahi , S. Modaberi, K. Eskandari and A. Haghparast,
A systematic review of the local field potential adaptations during conditioned place preference task in preclinical studies,
Synapse (2023), 77  [abstract]
DOI: https://doi.org/10.1002/syn.22277

   68. S. Eskandari, A. Rezayof, S. Asghari and S. Hashemizadeh ,
Neurobiochemical characteristics of arginine-rich peptides explain their potential therapeutic efficacy in neurodegenerative diseases,
Neuropeptides 101(2023),   [abstract]
DOI: https://doi.org/10.1016/j.npep.2023.102356

   69. M. Parsa, H. Yousefi Rad, H. Vaezi, G. Hossein-Zadeh, S. Setarehdan, R. Rostami , H. Rostami and A. Vahabie,
EEG-based classification of individuals with neuropsychiatric disorders using deep neural networks: A systematic review of current status and future directions,
Computer Methods and Programs in Biomedicine 240(2023),   [abstract]
DOI: https://doi.org/10.1016/j.cmpb.2023.107683

   70. J. Lee, M. Beirami, R. Ebrahimpour, C. Puyana, M. Tsoukas and K. Avanaki,
Optical coherence tomography confirms non-malignant pigmented lesions in phacomatosis pigmentokeratotica using a support vector machine learning algorithm,
Skin Res Technol 29(2023),   [abstract]
DOI: https://doi.org/10.1111/srt.13377

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