سمت در پژوهشگاه

پژوهشگر مقیم، پژوهشکده علوم شناختی (1387 تا اکنون )

سمت‌های پیشین در پژوهشگاه

معاونت رئیس، پژوهشکده علوم شناختی (1393 تا 1395) دانشجوی دکتری، پژوهشکده علوم شناختی (1381 تا 1386)

سمت‌های خارج از پژوهشگاه

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

علایق پژوهشی

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

مقالات

1.	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]

2.	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]

3.	J. Esmaily, S. Zabbah, R. Ebrahimpour and B. Bahrami Interpersonal alignment of neural evidence accumulation to social exchange of confidence eLife 12 (2023),   [abstract]

4.	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]

5.	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]

6.	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]

7.	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]

8.	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]

9.	A. Farzmahdi, F. Fallah, R. Rajimehr and R. Ebrahimpour Task-dependent neural representations of visual object categories European Journal of Neuroscience 04 (2021),   [abstract]

10.	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]

11.	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]

12.	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]

13.	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]

14.	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]

15.	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]

16.	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]

17.	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]

18.	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]

19.	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]

20.	Y. Merrikhi, R. Ebrahimpour and A. Daliri Perceptual manifestations of auditory modulation during speech planning Experimental Brain Research (2018),   [abstract]

21.	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]

22.	Y. Merrikhi, R. Ebrahimpour and A. Daliri Perceptual manifestations of auditory modulation during speech planning ( In: SFN 2017) [abstract]

23.	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]

24.	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]

25.	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]

26.	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]

27.	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]

28.	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]

29.	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]

30.	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]

31.	S. Kheradpisheh, F. Sharifzadeh, A. Nowzari-Dalini, M. Ganjtabesh and R. Ebrahimpour Mixture of feature specified experts Information Fusion 20 (2014), 242-251  [abstract]

32.	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]

33.	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]

34.	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]

35.	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]

36.	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]

37.	S.R. Kheradpisheh, F. Behjati-Ardakani and R. Ebrahimpour Combining classifiers using nearest decision prototypes Applied Soft Computing 13 (2013), 4570-4578  [abstract]

38.	R. Ebrahimpour, A. Abbaszadeh and S. Masoudnia Improving combination method of NCL experts using gating network Neural Computing & Applications 22 (2013), 95-101  [abstract]

39.	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]

40.	. 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]

41.	. 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]

42.	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]

43.	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]

44.	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]

45.	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]

46.	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]

47.	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]

48.	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]

49.	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]

50.	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]

51.	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]

52.	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]

53.	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]

54.	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]

55.	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]

56.	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]

57.	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]

58.	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]

59.	R. Ebrahimpour, E. Kabir, H. Esteky and M. Yousefi View-independent Face Recognition with Mixture of Experts Neurocomputing 71 (2008), 1103-1107  [abstract]

60.	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]

61.	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]

62.	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]

63.	R. Ebrahimpour, E. Kabir and M.R. Yousefi Face Detection Using Mixture of MLP Experts Neural Processing Letters 26 (2007), 69-82  [abstract]

64.	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]

65.	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]

66.	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]

67.	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]

68.	R. Ebrahimpour, M. Mazloom and C. Lucas Face Recognition: An Ensemble Neural Network with Co-Evolutionary Algorithm Approach ( In: 2nd IEEE-GCC Conference) [abstract]

69.	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]

70.	B. Mohabbati, R. Ebrahimpour, S. Kasaei and E. Kabir Neural Networks Ensembles for Face Recognition ( In: International workshop on Computer Vision) [abstract]

[Back]