Journal papers:

  • M.R. Daliri, V. Kozyrev, and S. Treue, Attention Enhances Stimulus Representations in Macaque Visual Cortex without Affecting Their Signal-to-Noise Level, Scientific Reports, 6: 27666, 2016.


  •  S. Jafakesh, F. Zareayan Jahromy, and M. R. Daliri. “Decoding of object categories from brain signals using cross frequency coupling methods.” Biomedical Signal Processing and Control 27 : 60-67, 2016.


  • Esghaei, C. Xue, Does Correlated Firing Underlie Attention Deployment in Frontal Cortex?The Journal of Neuroscience, 36 (6), 2016.


  • M. Esghaei, M.R. Daliri, S. Treue, Attention Decreases Phase-Amplitude Coupling, Enhancing Stimulus Discriminability in Cortical Area MT, Frontiers in Neural Circuits, 9 (82), 2015.


  • M. Parto Dezfouli, M.R. Daliri, The Effect of Adaptation on the Tuning Curves of Rat Auditory Cortex, PLoS One 10(2): e0115621, 2015.


  • R. Daliri, Combining Extreme Learning Machines Using Support Vector Machines for Breast Tissue Classification, Computer Methods in Biomechanics and Biomedical Engineering, 18(2): 185-191, 2015.


  • Behroozi, M.R. Daliri, RDLPFC Area of the Brain Encodes the Sentence Polarity: a Study Using fMRI, Brain Imaging and Behavior, 1-12, 2014.


  • Behroozi, M.R. Daliri, Predicting Brain States Associated with Object Categories from fMRI Data, Journal of Integrative Neuroscience, 13(4): 645-667, 2014.


  • Khorasani, M.R. Daliri, HMM for Classification of Parkinson’s Disease Based on the Raw Gait Data, Journal of Medical Systems, 38(12): 1-6, 2014.


  • Esghaei, M.R. Daliri, Decoding of visual attention from LFP signals of macaque MT, PLoS One, 9(6): e100381, 2014.


  • R. Daliri, S. Sanei, Introduction to the special issue on Advances in Biomedical Signal and Image Processing, and Biometrics, Computers & Electrical Engineering, 40 (5), 1714-1716, 2014.


  • Taghizadeh-Sarabi, M.R. Daliri, K.S. Niksirat, Decoding Objects of Basic Categories from Electroencephalographic Signals Using Wavelet Transform and Support Vector Machines, Brain Topography, 28(1): 33-46, 2015.


  • R. Daliri, A Hybrid Method for the Decoding of Spatial Attention using the MEG Brain Signals, Biomedical Signal Processing and Control, 10: 308-312, 2014.


  • R. Daliri, Kernel Earth Mover’s Distance for EEG Classification, Clinical EEG and Neuroscience, 44(3): 182-187, 2013.


  • Khorasani, M.R. Daliri, Estimation of Neural Firing Rate: the Wavelet Density Estimation Approach, Biomedizinische Technik/Biomedical Engineering, 58(4): 377-386, 2013.


  • R. Daliri, Chi-Square Distance Kernel of the Gaits for the Diagnosis of Parkinson’s Disease, Biomedical Signal Processing and Control, 8(1): 66-70, 2013.


  • R. Daliri, Feature Selection using Binary Particle Swarm Optimization and Support Vector Machines for Medical Diagnosis, Biomedizinische Technik/Biomedical Engineering, 57: 395-402, 2012.


  • R. Daliri, Automatic Diagnosis of Neuro-degenerative Diseases using Gait Dynamics, Measurement, 45 (7): 1729-1734, 2012.


  • R. Daliri, A Hybrid Automatic System for the Diagnosis of Lung Cancer Based on Genetic Algorithm and Fuzzy Extreme Learning Machines, Journal of Medical Systems, 36 (2): 1001-1005, 2012.


  • R. Daliri, Predicting the Cognitive States of the Subjects in Functional Magnetic Resonance Imaging Signals Using the Combination of Feature Selection Strategies, Brain Topography, 25 (2): 129-135, 2012.


  • R. Daliri, M. Saraf, A Bayesian Framework for Face Recognition, International Journal of Innovative Computing, Information and Control, 8: 1-13, 2012.


  • R. Daliri, Automated Diagnosis of Alzheimer Disease Using the Scale-Invariant Feature Transforms in Magnetic Resonance Images, Journal of Medical Systems, 36 (2): 995-1000, 2012.


  • R. Daliri, M. Fattan, Improving the Generalization of Neural Networks by Changing the Structure of Artificial Neuron, Malaysian Journal of Computer Science, 24 (4): 195- 204, 2011.


  • R. Daliri, V. Torre, Shape Recognition Based on Kernel-Edit Distance, Computer Vision and Image Understanding, 114 (10): 1097-1103, 2010.


  • R. Daliri, V. Torre, Classification of Silhouettes Using Contour Fragments, Computer Vision and Image Understanding, 113(9): 1017- 1025, 2009.


  • R. Daliri, V. Torre, Shape and Texture Clustering: Best Estimate for the Clusters Number, Image and Vision Computing, 27(10): 1603- 1614, 2009.


  • R. Daliri, V. Torre, Robust Symbolic Representation for Shape Recognition and Retrieval, Pattern Recognition, 41 (5): 1782- 1789, 2008.

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  • unnamed

    Mini-symposium Held at IUST

    In July, 2017 we held a one-day mini-symposium at IUST, for the interchange of scientific expertise and findings between different projects of the our lab and external collaborating teams. The lectures were organized in two panels: Invited talks (given by principle investigators cooperating with our lab) and Project presentations (delivered by PhD students). Topics ranging all the way from the dynamics of neural coding in primate brain to computational approaches in modeling the neural system were covered through these lectures. Importantly we had the honor to host Dr. Fatemeh Bakouie (Shahid Beheshti University), Dr. Zeinab Fazlali (IPM School of Cognitive Sciences), Prof. Dr. Shahriyar Gharibzadeh (Amirkabir University of Technology) and Dr. Marzieh Zare (IPM School of Computer Sciences), to present their ongoing research lines in the symposium.
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    The surgery center has been launched in the Cognitive Neurobiology Lab

    We are pleased to announce that on Sep 2016, we launched a non-human primate surgery center in IPM School of Cognitive Sciences. The surgery room is equipped with the most modern equipment enabling primate neuroscientists to carry out the most sophisticated brain surgeries. These surgeries are aimed at implanting either fixation or neural implants. Facilities such as accurate human-level monitoring and anesthesia systems enable us to carry out surgeries with the highest standards of animal welfare.
  • F. Zareayan’s winning support to attend FENS 2016

    Fatemeh Zareayan won the prize to attend the 10th Forum of Neuroscience Conference to be held in Copenhagen July 2-6, 2016 from the Iranian Cognitive Sciences and Technologies Council

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    "Moein Esghaei successfully defended his thesis at IPM. His thesis addressed the role of low frequency oscillatory activities of brain in the process of selective attention."