گروه علوم شناختی

مقالات

  1. M. Pakravan, M. Abbaszadeh, A. Ghazizadeh, "Coordinated multivoxel coding beyond univariate effects is not likely to be observable in fMRI data", NeuroImage 247 (2022) 118825
  2. T. Attary, A. Ghazizadeh, "Localizing sensory processing sensitivity and its subdomains within its relevant trait space: a data-driven approach", Scientific reports 11 (2021), 1-12
  3. K. Sharifi, A. Khoshvishkaie, A. Ghazizadeh, "Value-driven efficient search is accompanied by differential visual processing area for high-vs low-value objects", Journal of Vision 21 (2021), 2491-2491
  4. A. Ghazizadeh, O. Hikosaka, "Common coding of expected value and value uncertainty memories in the prefrontal cortex and basal ganglia output", Science Advances 7 (2021), eabe0693
  5. A. Ghazizadeh, F. Ambroggi, "Optimal Binning of Peri-Event Time Histograms Using Akaike Information Criterion", bioRxiv, 2021
  6. A. Ghazizadeh, MA. Fakharian, A. Amini, W. Griggs, DA. Leopold, "Brain networks sensitive to object novelty, value, and their combination", Cerebral cortex communications 1 (2020), 1-16
  7. H. Nazemi, A. Taheri, A. Meghdari, M. Boroushaki, A. Ghazizadeh, "Emotion Recognition Using EEG Signals: Accuracy Comparison Between Methods and Frequency Bands", 2021, 9th RSI International Conference on Robotics and Mechatronics
  8. M. Memari, MM. Sakhaee, MH. Nadian, A. Taheri, A. Ghazizadeh, "Design and Manufacture of a Guided Mechanical Arm by EEG Signals", 2021, 9th RSI International Conference on Robotics and Mechatronics
  9. Zahra Azizi, Reza Ebrahimpour, "Explaining Integration of Evidence Separated by Temporal Gaps with Frontoparietal Circuit Models", Neuroscience, Volume 509, 15 January 2023, Pages 74-95
  10. Naser Sadeghnejad, Mehdi Ezoji, Reza Ebrahimpour, Sajjad Zabbah, "Resolving the neural mechanism of core object recognition in space and time: A computational approach", Neuroscience Research, Corrected Proof, Available online 9 December 2022
  11. Soltandoost, E., Rajaei, K., & Ebrahimpour, R. (2025). Contextual feedback in object recognition: A biologically inspired computational model and human behavioral study. Vision Research, 237, 108679.
  12. Khosravi Khaliran, M. U., Ebrahimpour, R., & Zabbah, I. (2025). Data Augmentation on Marginal samples and distribution-based selection to improve ECG signal classification with deep learning. Advanced Signal Processing.
  13. Ostadi, M., Golmohamadian, M., Bosaghzadeh, A., Amiri, S. H., & Ebrahimpour, R. (2025). Educational multimedia design principles affect local and global information processing in functional brain networks. Scientific Reports, 15(1), 23148.
  14. Yazdani, H., Bosaghzadeh, A., Ebrahimpour, R., & Dornaika, F. (2025). A Computational–Cognitive Model of Audio-Visual Attention in Dynamic Environments. Big Data and Cognitive Computing, 9(5), 120.
  15. Fakhari, R., Moradi, A., Ebrahimpour, R., & Khosrowabadi, R. (2025). Structural balance of resting-state brain network in Attention Deficit Hyperactivity Disorder. Basic and Clinical Neuroscience, 16(2), 299-308.
  16. Hatami, M., Yaghmaee, F., & Ebrahimpour, R. (2025). Improving Alzheimer’s disease classification using novel rewards in deep reinforcement learning. Biomedical Signal Processing and Control, 100, 106920.
  17. Golmohamadian, M., Faraji, M., Fallah, F., Sharifizadeh, F., & Ebrahimpour, R. (2025). Flexibility in choosing decision policies in gathering discrete evidence over time. PloS one, 20(1), e0316320.
  18. Majidpour, S., Sanayei, M., Ebrahimpour, R., & Zabbah, S. (2025). Better than expected performance effect depends on the spatial location of visual stimulus. Scientific Reports, 15(1), 281.
  19. Payedar-Ardakani, P., Gorji-Mahlabani, Y., Ghanbaran, A. H., & Ebrahimpour, R. (2024). The impact of changes in daylight illuminance levels on architectural experiences in office environments using virtual reality and electroencephalogram. Journal of Building Engineering, 96, 110487.
  20. Hatami, M., Yaghmaee, F., & Ebrahimpour, R. (2024). Investigating the potential of reinforcement learning and deep learning in improving Alzheimer's disease classification. Neurocomputing, 597, 128119.
  21. Roshan, S. S., Sadeghnejad, N., Sharifizadeh, F., & Ebrahimpour, R. (2024). A neurocomputational model of decision and confidence in object recognition task. Neural Networks, 175, 106318.
  22. Payedar-Ardakani, P., Gorji-Mahlabani, Y., Ghanbaran, A. H., & Ebrahimpour, R. (2024). Daylight illuminance levels, user preferences, and cognitive performance in office environments: Exploring an optimal illuminance range using virtual reality. Building and Environment, 258, 111638.
  23. Khaliran, M. U. K., Zabbah, I., Faraji, M., & Ebrahimpour, R. (2024). Improving deep learning in arrhythmia Detection: The application of modular quality and quantity controllers in data augmentation. Biomedical Signal Processing and Control, 91, 105940.
  24. Asaadi, A. H., Amiri, S. H., Bosaghzadeh, A., & Ebrahimpour, R. (2024). Effects and prediction of cognitive load on encoding model of brain response to auditory and linguistic stimuli in educational multimedia. Scientific Reports, 14(1), 9133.
  25. Sadeghnejad, N., Ezoji, M., Ebrahimpour, R., Qodosi, M., & Zabbah, S. (2024). A fully spiking coupled model of a deep neural network and a recurrent attractor explains dynamics of decision making in an object recognition task. Journal of Neural Engineering, 21(2), 026011.
  26. Esmaily, J., Zabbah, S., Ebrahimpour, R., & Bahrami, B. (2023). Interpersonal alignment of neural evidence accumulation to social exchange of confidence. Elife, 12, e83722.
  27. Kavian, Z., Hajisadeghi, K., Rezazadeh, Y., Faraji, M., & Ebrahimpour, R. (2023). Age Effects on Decision-Making, Drift Diffusion Model. arXiv preprint arXiv:2311.18376.
  28. Payedar-Ardakani, P., Gorji-Mahlabani, Y., Ghanbaran, A., & Ebrahimpour, R. (2023). The impact of changes to daylight illumination level on architectural experience in offices based on VR and EEG. arXiv preprint arXiv:2311.05028.
  29. Mokari-Mahallati, M., Ebrahimpour, R., Bagheri, N., & Karimi-Rouzbahani, H. (2023). Deeper neural network models better reflect how humans cope with contrast variation in object recognition. Neuroscience Research, 192, 48-55.
  30. Lee, J., Beirami, M. J., Ebrahimpour, R., Puyana, C., Tsoukas, M., & Avanaki, K. (2023). Optical coherence tomography confirms non‐malignant pigmented lesions in phacomatosis pigmentokeratotica using a support vector machine learning algorithm. Skin Research and Technology, 29(6), e13377.
  31. Ghaderi-Kangavari, A., Parand, K., Ebrahimpour, R., Nunez, M. D., & Amani Rad, J. (2023). How spatial attention affects the decision process: looking through the lens of Bayesian hierarchical diffusion model & EEG analysis. Journal of Cognitive Psychology, 35(4), 456-479.
  32. Alipour, M., Aminifar, E., Geary, D. C., & Ebrahimpour, R. (2023). Framing mathematical content in evolutionarily salient contexts improves students’ learning motivation. Learning and Motivation, 82, 101894.
  33. Sadeghnejad, N., Ezoji, M., Ebrahimpour, R., & Zabbah, S. (2023). Resolving the neural mechanism of core object recognition in space and time: A computational approach. Neuroscience Research, 190, 36-50.
  34. Mousavi Harris, A. M., & Ebrahimpour, R. (2023). Investigation of Decision-Making Computational cortex-like mechanism models‎ in Neuroeducation. Technology of Education Journal (TEJ), 17(2), 249-264.
  35. Farkish, A., Bosaghzadeh, A., Amiri, S. H., & Ebrahimpour, R. (2023). Evaluating the effects of educational multimedia design principles on cognitive load using EEG signal analysis. Education and Information Technologies, 28(3), 2827-2843.
  36. Azizi, Z., & Ebrahimpour, R. (2023). Explaining integration of evidence separated by temporal gaps with Frontoparietal Circuit Models. Neuroscience, 509, 74-95.