“Reza Ebrahimpour”
Email:
IPM Positions |
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Deputy of School, School of Cognitive Sciences
Part-time Faculty, School of Cognitive Sciences Member, Scientific Council, School of Cognitive Sciences (2018 - Present ) |
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Past IPM Positions |
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Deputy of School, School of Cognitive Sciences
(2014 - 2016) Ph.D. Student, School of Cognitive Sciences (2002 - 2007) |
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Non IPM Affiliations |
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Professor of Sharif University of Technology | ||
Research Interests |
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Computational and Cognitive Neuroscience Human and Machine Vision Brain Machine Interface Neural Engineering NeuroAI Mental Health Neural Computation |
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Related Papers |
1. | S. Roshan, N. Sadeghnejad, F. Sharifizadeh and R. Ebrahimpour A neurocomputational model of decision and confidence in object recognition task Neural Networks (2024), [abstract] |
2. | N. Sadeghnejad, M. Ezoji, R. Ebrahimpour, M. Qodosi and S. Zabbah 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 (2024), [abstract] |
3. | 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] |
4. | Z. Azizi and R. Ebrahimpour Explaining Integration of Evidence Separated by Temporal Gaps with Frontoparietal Circuit Models Neuroscience 509 (2023), 74-95 [abstract] |
5. | N. Sadeghnejad, M. Ezoji, R. Ebrahimpour and S. Zabbah Resolving the neural mechanism of core object recognition in space and time: A computational approach Neuroscience Research 190 (2023), 36-50 [abstract] |
6. | M. Alipour, E. Aminifar, DC. Geary and R. Ebrahimpour Framing mathematical content in evolutionarily salient contexts improves students' learning motivation Learning and Motivation 82 (2023), 101894 [abstract] |
7. | A. Ghaderi-Kangavari, K. Parand, R. Ebrahimpour, M. Nunez and J. Amani Rad How spatial attention affects the decision process: looking through the lens of Bayesian hierarchical diffusion model & EEG analysis Journal of Cognitive Psychology 35 (2023), [abstract] |
8. | J. Esmaily, S. Zabbah, R. Ebrahimpour and B. Bahrami Interpersonal alignment of neural evidence accumulation to social exchange of confidence eLife 12 (2023), [abstract] |
9. | 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] |
10. | M. Mokari-Mahallati, R. Ebrahimpour, N. Bagheri and H. Karimi-Rouzbahani Deeper neural network models better reflect how humans cope with contrast variation in object recognition Neuroscience Research 192 (2023), [abstract] |
11. | R. Sarailoo, K. Latifzadeh, S. Amiri, A. Bosaghzadeh and R. Ebrahimpour Assessment of instantaneous cognitive load imposed by educational multimedia using electroencephalography signals Frontiers in Neuroscience 16 (2022), [abstract] |
12. | F. Jam, H. Azemati, A. Ghanbaran, J. Esmaily and R. Ebrahimpour The role of expertise in visual exploration and aesthetic judgment of residential building façades: An eye-tracking study. Psychology of Aesthetics, Creativity, and the Arts (2022), [abstract] |
13. | S. Zabbah, A. Mirzaei, A. Valizadeh and R. Ebrahimpour Excitatory deep brain stimulation quenches beta oscillations arising in a computational model of the subthalamo-pallidal loop Scientific Reports 12 (2022), [abstract] |
14. | A. Farzmahdi, F. Fallah, R. Rajimehr and R. Ebrahimpour Task-dependent neural representations of visual object categories European Journal of Neuroscience 04 (2021), [abstract] |
15. | Y. Merrikhi, M. Shams-Ahmar, H. Karimi-Rouzbahani, K. Clark, R. Ebrahimpour and B. Noudoost Dissociable Contribution of Extrastriate Responses to Representational Enhancement of Gaze Targets Journal of Cognitive Neuroscience 33 (2021), [abstract] |
16. | H. Heidari-Gorji, R. Ebrahimpour and S. Zabbah A temporal hierarchical feedforward model explains both the time and the accuracy of object recognition Scientific Reports (2021), [abstract] |
17. | R. Eghdam, R. Ebrahimpour, I. Zabbah and S. Zabbah Inherent Importance of Early Visual Features in Attraction of Human Attention Computational Intelligence and Neuroscience 2020 (2020), 15 [abstract] |
18. | M. Karimi, R. Ebrahimpour and N. Bagheri Object Categorization at the Higher Levels Do with More Neurons than Finer Levels and Takes Faster IEEE Access (2020), [abstract] |
19. | M. Tohidi-Moghaddam, S. Zabbah, F. Olianezhad and R. Ebrahimpour Sequence-dependent sensitivity explains the accuracy of decisions when cues are separated with a gap Attention, Perception, & Psychophysics 81 (2019), [abstract] |
20. | K. Rajaei, Y. Mohsenzadeh, R. Ebrahimpour and S. Khaligh-Razavi Beyond Core Object Recognition: Recurrent processes account for object recognition under occlusion PLOS Computational Biology (Accepted) [abstract] |
21. | S. Vafaei Shooshtari, J. Esmaily Sadrabadi, Z. Azizi and Ebrahimpour. Reza Confidence Representation of Perceptual Decision by EEG and Eye Data in a Random Dot Motion Task Neuroscience 406 (2019), 510-527 [abstract] |
22. | F. Olianejad, S. Zabbah, M. Tohidi and R. Ebrahimpour Residual Information of Previous Decision Affects Evidence Accumulation in Current Decision Frontiers in Behavioral Neuroscience (2019), [abstract] |
23. | H. Karimi-rouzbehani, E. Vahab, R. Ebrahimpour and M. Menhaj Spatiotemporal analysis of category and target-related information processing in the brain during object detection Behavioural Brain Research 362 (2019), 224-239 [abstract] |
24. | A. Abbaszadeh Arani, E. Kabir and R. Ebrahimpour Combining RtL and LtR HMMs to recognise handwritten Farsi words of small- and medium-sized vocabularies IET Computer Vision 12 (2018), 925-932 [abstract] |
25. | Y. Merrikhi, R. Ebrahimpour and A. Daliri Perceptual manifestations of auditory modulation during speech planning Experimental Brain Research (2018), [abstract] |
26. | K. Rajaei, Y. Mohsenzadeh, R. Ebrahimpour and S.M. Khaligh Razavi The essential role of recurrent processing during object recognition under occlusion ( In: 18th Annual Vision Sciences Society Meeting, being held May 18th - May 23rd, 2018 in St. Pete Beach, Florida, USA.) [abstract] |
27. | Y. Merrikhi, R. Ebrahimpour and A. Daliri Perceptual manifestations of auditory modulation during speech planning ( In: SFN 2017) [abstract] |
28. | H. Karimi-Rouzbahani, N. Bagheri and R. Ebrahimpour Invariant object recognition is a personalized selection of invariant features in humans, not simply explained by hierarchical feed-forward vision models Scientific Reports (Accepted) [abstract] |
29. | S. Moini, B. Alizadeh, M. Emad and R. Ebrahimpour A Resource-Limited Hardware Accelerator for Convolutional Neural Networks in Embedded Vision Applications IEEE Transactions on Circuits and Systems II (2017), [abstract] |
30. | H. Karimi-Rouzbahani, N. Bagheri and R. Ebrahimpour Average activity, but not variability, is the dominant factor in the representation of object categories in the brain Neuroscience 346 (2017), 14-28 [abstract] |
31. | H. Karimi-Rouzbahani, N. Bagheri and R. Ebrahimpour Hard-wired feed-forward visual mechanisms of the brain compensate for affine variations in object recognition Neuroscience 349 (2017), 48-63 [abstract] |
32. | H. Karimi-Rouzbahani, R. Ebrahimpour and N. Bagheri Role of Feed-forward ventral visual cortex in compensating for different variations in core object recognition ( In: 10th Federation of European Neuroscience (FENS), Copenhagen, Denmark, 2016.) [abstract] |
33. | A. Farzmahdi, K. Rajaei, M. Ghodrati, R. Ebrahimpour and S. Khaligh-Razavi A specialized face-processing model inspired by the organization of monkey face patches explains several face-specific phenomena observed in humans Scientific Reports 6 (2016), 1-17 [abstract] |
34. | H. Heidari-Gorji, S. Zabbah, M. Akhavan, N. Bagheri and R. Ebrahimpour STDP based HAMX behavior in response to homogeneous and heterogeneous categories ( In: Bernstein Conference 2015) [abstract] |
35. | M. Shams-Ahmar, H. Karimi, M. Parsa, R. Ebrahimpour and B. Noudoost Contributions of response magnitude and variability to the presaccadic enhancement of visual representations ( In: SfN2015, Chicago) [abstract] |
36. | S. Kheradpisheh, F. Sharifzadeh, A. Nowzari-Dalini, M. Ganjtabesh and R. Ebrahimpour Mixture of feature specified experts Information Fusion 20 (2014), 242-251 [abstract] |
37. | S. Kheradpisheh, A. Nowzari-Dalini, R. Ebrahimpour and M. Ganjtabesh An Evidence-Based combining classifier for brain signal analysis Plos One 9 (2014), 1-16 [abstract] |
38. | M. Ghodrati, K. Rajaei and R. Ebrahimpour The importance of visual features in generic vs. specialized object recognition: a computational study Frontiers in Computational Neuroscience (2014), 1-15 [abstract] |
39. | M. Ghodrati, A. Farzmahdi, K. Rajaei, R. Ebrahimpour and M. Khaligh-Razavi Feedforward object-vision models only tolerate small image variations compared to human Frontiers in Computational Neuroscience 8 (2014), 1-17 [abstract] |
40. | S. zabbah, K. Rajaei, A. Mirzaei, R. Ebrahimpour and M. Khaligh-Razavi The impact of the lateral geniculate nucleus and corticogeniculate interactions on efficient coding and higher-order visual object processing Vision Research 101 (2014), 82-93 [abstract] |
41. | A. Ahangi, M. Karamnejad, N. Mohammadi, R. Ebrahimpour and N. Bagheri Multiple classifier system for EEG signal classification with application to brainâcomputer interfaces Neural Computing and Applications 23 (2013), 1319-1327 [abstract] |
42. | S.R. Kheradpisheh, F. Behjati-Ardakani and R. Ebrahimpour Combining classifiers using nearest decision prototypes Applied Soft Computing 13 (2013), 4570-4578 [abstract] |
43. | R. Ebrahimpour, A. Abbaszadeh and S. Masoudnia Improving combination method of NCL experts using gating network Neural Computing & Applications 22 (2013), 95-101 [abstract] |
44. | R. Ebrahimpour, N. Sadeghnejad, S. Abbaszadeh Arani and N. Mohammadi Boost-wise pre-loaded mixture of experts for classification tasks Neural Computing & Applications 22 (2013), 365-377 [abstract] |
45. | . Mirzaei, . Khaligh-Razavi, . Ghodrati, . Zabbah and . Ebrahimpour Predicting the human reaction time based on natural image statistics in a rapid categorization task Vision Research 81 (2013), 36-44 [abstract] |
46. | . Rajaei, . Khaligh-Razavi, . Ghodrati, . Ebrahimpour and . Shiri Ahmad Abadi A stable biologically motivated learning mechanism for visual feature extraction to handle facial categorization Plos One 7 (2012), 1-12 [abstract] |
47. | R. Ebrahimpour, R. Rasoolinejad, Z. Hajiabdolhasani and M. Ebrahimi Vanishing point detection in corridors: using Hough transform and K-means clustering IET Comput. Vis 6 (2012), 40-51 [abstract] |
48. | M. Ghodrati, M. Khaligh-Razavi, R. Ebrahimpour, K. Rajaei and M. Pooyan How can selection of biologically inspired features improve the performance of a robust object recognition model? Plos One 7 (2012), 1-15 [abstract] |
49. | R. Ebrahimpour, A. Sajedin and Z. Moussavi A bio-inspired computational neural model for illustration face and car expertise effect on the gateway to the right FFA International Journal of Innovative Computing, Information and Control 8 (2012), 3451-3466 [abstract] |
50. | M. Tabassian, R. Ghaderi and R. Ebrahimpour Combining complementary information sources in the dempster-shafer framework for solving classification problems with imperfect labels Knowledge-Based Systems 27 (2012), 92-102 [abstract] |
51. | M. Tabassian, R. Ghaderi and R. Ebrahimpour Combination of multiple diverse classifiers using belief functions for handling data with imperfect labels Expert Systems with Applications 39 (2012), 1698-1707 [abstract] |
52. | M.R. Homaeinezhad, E. Tavakkoli, S.A. Atyabi, A. Ghaffari and R. Ebrahimpour Synthesis of multiple-type classification algorithms for robust heart rhythm type recognition: Neuro-svm-pnn learning machine with virtual QRS image-based geometrical features Scientia Iranica 18 (2011), 423-431 [abstract] |
53. | M. Javadi, R. Ebrahimpour, A. Sajedin, S. Faridi and S. Zakernejad Improving ECG classification accuracy using an ensemble of neural network modules Plos One 6 (2011), 1-13 [abstract] |
54. | M. Tabassian, R. Ghaderi and R. Ebrahimpour Handling classification problems with imperfect labels using an evidence-based neural network ensemble IJICIC 7 (2011), 7051-7066 [abstract] |
55. | M. Tabassian, R. Ghaderi and R. Ebrahimpour Knitted fabric defect classification for uncertain labels based on Dempster-Shafer theory of evidence Expert Systems with Applications 38 (2011), 5259-5267 [abstract] |
56. | R. Ebrahimpour, E. Kabir and M. Yousefi Improving mixture of experts for view-independent face recognition using teacher-directed learning Machine Vision & Applications 22 (2011), 421-432 [abstract] |
57. | R. Ebrahimpour, A. Esmkhani and S. Faridi Farsi handwritten digit recognition based on mixture of RBF experts IEICE Electronics Express 7 (2010), 1014-1019 [abstract] |
58. | M. Tabassian, R. Ghaderi and R. Ebrahimpour Combining Neural Networks Based on Dempster-Shafer Theory for Classifying Data with Imperfect Labels Lecture Notes in Artificial Intelligent 6438 (2010), 233-244 [abstract] |
59. | S. Masoudnia, M. Rostami, M. Tabassian, A. Sajedin and R. Ebrahimpour Evidence-Based Mixture of MLP-Experts ( In: International joint conference on neural networks 2010) [abstract] |
60. | Z. Moussavi, K. Zarei and R. Ebrahimpour Improving classification performance with focus on the complex areas Lecture Notes in Computer Science 5901 (2010), 612-626 [abstract] |
61. | Z. Farhoudi and R. Ebrahimpour Using biologically inspired visual features and mixture of experts for face/nonface recognition Lecture Notes in Computer Science 5864 (2009), 439-448 [abstract] |
62. | R. Ebrahimpour , E. Kabir and M.R. Yousefi Teacher-Directed Learning in View-independent Face Recognition with Mixture of Experts Using Overlapping Eigenspaces COMPUT VIS IMAGE UND 111 (2008), 195-206 [abstract] |
63. | R. Ebrahimpour, E. Kabir, H. Esteky and M. Yousefi A mixture of multilayer perceptron experts network for modeling face/nonface recognition in cortical face processing regions Intelligent Automation and Soft Computi 14 (2008), 151-162 [abstract] |
64. | R. Ebrahimpour, E. Kabir, H. Esteky and M. Yousefi View-independent Face Recognition with Mixture of Experts Neurocomputing 71 (2008), 1103-1107 [abstract] |
65. | R. Ebrahimpour, E. Kabir and M.R. Yousefi Teacher-Directed Learning in View-independent Face Recognition with Mixture of Experts Using Single-view Eigenspaces journal of the Franklin institute-engineering and applied mathematics 345 (2008), 81-101 [abstract] |
66. | M. Avanaki and R. Ebrahimpour In-service video quality measurements in optical fiber links based on neural network Neural Network World 5 (2007), 457-468 [abstract] |
67. | R. Ebrahimpour, E. Kabir and M.R. Yousefi View-Based Eigenspaces with Mixture of Experts for View-Independent Face Recognition Lecture Notes in Computer Science 4472 (2007), 131-140 [abstract] |
68. | R. Ebrahimpour, E. Kabir and M.R. Yousefi Face Detection Using Mixture of MLP Experts Neural Processing Letters 26 (2007), 69-82 [abstract] |
69. | R. Ebrahimpour, E. Kabir and M.R. Yousefi Teacher-Directed Learning with Mixture of Experts for View-independent Face Recognition Lecture Notes in Computer Science 4362 (2007), 601-611 [abstract] |
70. | R. Ebrahimpour, M.R. Yousefi, H. Esteky and E. Kabir Object recognition: Computational Theories and Models ( In: 11th International CSI Computer Conference (CSICC'2006)) [abstract] |
71. | S.H.N. Karizi, R. Ebrahimpour and E. Kabir Using Combining Classifiers for Farsi Handwritten Digit Recognition ( In: The 3rd Conference on Machine Vision, Image Processing and applications (MVIP)) [abstract] |
72. | R. Ebrahimpour, S.R. Ehteram and E. Kabir Face Recognition by Multiple Classifiers, a Divide-and-Conquer Approach LECT NOTES ARTIF INT 3683 (2005), 225-232 [abstract] |
73. | R. Ebrahimpour, M. Mazloom and C. Lucas Face Recognition: An Ensemble Neural Network with Co-Evolutionary Algorithm Approach ( In: 2nd IEEE-GCC Conference) [abstract] |
74. | M. Shams Esfand Abadi, A. Mahlooji Far, E. Kabir and R. Ebrahimpour Adaptive Channel Equalization using Fasteuclidean Direction Search Algorithm ( In: 2nd IEEE-GCC Conference) [abstract] |
75. | B. Mohabbati, R. Ebrahimpour, S. Kasaei and E. Kabir Neural Networks Ensembles for Face Recognition ( In: International workshop on Computer Vision) [abstract] |
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