“Reza Ebrahimpour”

Email: 

IPM Positions

Resident Researcher, School of Cognitive Sciences
(2008 - Present )

Past IPM Positions

Vice Head, School of Cognitive Sciences
(2014 - 2016)
Ph.D. Student, School of Cognitive Sciences
(2002 - 2007)


Non IPM Affiliations

Visiting Assistant Professor of Shahid Rajaee University, Department of Computer Engineering

Research Interests

- Computational and Cognitive Neuroscience
- Human and Machine Vision
- Biological Object Recognition
- Brain Machine Interface
- Neural Computation

Related Papers

1. A. Farzmahdi, F. Fallah, R. Rajimehr and R. Ebrahimpour
Task-dependent neural representations of visual object categories
European Journal of Neuroscience 04 (2021),   [abstract]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. 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]
9. 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]
10. 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]
11. 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]
12. Y. Merrikhi, R. Ebrahimpour and A. Daliri
Perceptual manifestations of auditory modulation during speech planning
Experimental Brain Research (2018),   [abstract]
13. 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]
14. Y. Merrikhi, R. Ebrahimpour and A. Daliri
Perceptual manifestations of auditory modulation during speech planning
( In: SFN 2017)
[abstract]
15. 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]
16. 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]
17. 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]
18. 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]
19. 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]
20. 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]
21. 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]
22. 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]
23. S. Kheradpisheh, F. Sharifzadeh, A. Nowzari-Dalini, M. Ganjtabesh and R. Ebrahimpour
Mixture of feature specified experts
Information Fusion 20 (2014), 242-251  [abstract]
24. 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]
25. 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]
26. 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]
27. 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]
28. A. Ahangi, M. Karamnejad, N. Mohammadi, R. Ebrahimpour and N. Bagheri
Multiple classifier system for EEG signal classification with application to brain–computer interfaces
Neural Computing and Applications 23 (2013), 1319-1327  [abstract]
29. S.R. Kheradpisheh, F. Behjati-Ardakani and R. Ebrahimpour
Combining classifiers using nearest decision prototypes
Applied Soft Computing 13 (2013), 4570-4578  [abstract]
30. R. Ebrahimpour, A. Abbaszadeh and S. Masoudnia
Improving combination method of NCL experts using gating network
Neural Computing & Applications 22 (2013), 95-101  [abstract]
31. 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]
32. . 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]
33. . 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]
34. 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]
35. 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]
36. 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]
37. 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]
38. 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]
39. 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]
40. 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]
41. 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]
42. 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]
43. 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]
44. 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]
45. 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]
46. 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]
47. 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]
48. 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]
49. 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]
50. 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]
51. R. Ebrahimpour, E. Kabir, H. Esteky and M. Yousefi
View-independent Face Recognition with Mixture of Experts
Neurocomputing 71 (2008), 1103-1107  [abstract]
52. 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]
53. 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]
54. 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]
55. R. Ebrahimpour, E. Kabir and M.R. Yousefi
Face Detection Using Mixture of MLP Experts
Neural Processing Letters 26 (2007), 69-82  [abstract]
56. 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]
57. 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]
58. 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]
59. 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]
60. R. Ebrahimpour, M. Mazloom and C. Lucas
Face Recognition: An Ensemble Neural Network with Co-Evolutionary Algorithm Approach
( In: 2nd IEEE-GCC Conference)
[abstract]
61. 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]
62. 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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