“Papers of School of Cognitive Sciences”
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61. S. Katebi, A. Torkaman-Boutorabi, E. Riahi and A. Haghparast,
N-acetylcysteine attenuates accumbal core neuronal activity in response to morphine in the reinstatement of morphine CPP in morphine extinguished rats,
Progress in Neuro-Psychopharmacology & Biological Psychiatry (2024), [abstract]
62. S. Esfahan, M-H. Nili, J. Hatami, M. Sanayei and E. Rezayat,
Aging decreases the precision of visual working memory,
Neuropsychol Dev Cogn B Aging Neuropsychol Cogn 31(2024), [abstract]
63. A. Farkish, A. Bosaghzadeh, SA. Amiri and R. Ebrahimpour,
Evaluating the Effects of Educational Multimedia Design Principles on Cognitive Load Using EEG Signal Analysis,
Education and Information Technologies 28(2023), 2827â??2843 [abstract]
64. S. Rezghi Shirsavar, A-H. Vahabie and MR. A Dehaqani,
Models developed for spiking neural networks,
MethodsX 10(2023), 102157 [abstract]
65. J. Doostmohammadi , M.A. Gieselmann , J.V. Kempen , R. Lashgari, A. Yoonessi and A. Thiele,
Ripples in macaque V1 and V4 are modulated by top-down visual attention,
PNAS 120(2023), e2210698120 [abstract]
66. S. Jamali, M. Parto Dezfouli , AA. Kalbasi, MR. Daliri and A. Haghparast,
Selective Modulation of Hippocampal Theta Oscillations in Response to Morphine versus Natural Reward,
Brain Sciences 13(2023), 322 [abstract]
67. H. Shahbeik, A. Shafizadeh, MH. Nadian, D. Jeddi, SA. Mirjalili, Y. Yang, S. Shiung. Lam, J. Pan, M. Tabatabaei and M. Aghbashlo,
Using evolutionary machine learning to characterize and optimize co-pyrolysis of biomass feedstocks and polymeric wastes,
Journal of Cleaner Production 387(2023), 135881 [abstract]
68. F. Marmolejo-Ramos, C. Barrera-Causil, S. Kuang, Z. Fazlali, D. Wegener, T. Kneib, F. De Bastiani and G. Martinez-Flórez,
Generalised exponential-Gaussian distribution: a method for neural reaction time analysis,
Cognitive Neurodynamics 17(2023), 221�¢??237 [abstract]
69. Z. Azizi and R. Ebrahimpour,
Explaining Integration of Evidence Separated by Temporal Gaps with Frontoparietal Circuit Models,
Neuroscience 509(2023), 74-95 [abstract]
70. S. Naghavi, F. Ashtari, I. Adibi, V. Shaygannejad, N. Ramezani, A. Pourmohammadi, F. Davanian, Z. Karimi, SM. Khaligh-Razavi and M. Sanayei,
Effect of deep gray matter atrophy on information processing speed in early relapsing-remitting multiple sclerosis,
71(2023), 104560 [abstract]
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