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