Prof Mohammad Reza Daliri

Cognitive Neurobiology Group
Affiliation: School of Cognitive Sciences (SCS) Institute for Research in Fundamental Sciences (IPM)
Contact: daliri [at] iust [dot] ac [dot] ir


Our brain as the most complex biological system has been under extensive scientific studies during the last decade. However a tiny fraction of what is happening inside the brain has been discovered. Here at Cognitive Neurobiology Laboratory we are investigating how primates’ brain gives rise to cognitive functions such as visual attention. We are trying to uncover the mechanisms by which the brain lets us focus our attention to different visual entities in order to consciously see them and take actions according to them. This is done by recording electrical activities from different cortical areas of macaque monkey while the monkey is doing a cognitive task it has been trained on. Studying these digital signals allows us understand how brain activities change across different cognitive states of the monkey.
Cognitive Neurobiology Laboratory is a part of the School of Cognitive Sciences at the Institute for Research in Fundamental Sciences (IPM) where many outstanding researchers are investigating in different fields of cognitive sciences.


Fatemeh Zareayan
Postdoc researcher
zareayan [.] jahromy [@] gmail [.] com

PhD Students

Mohammad Zarei
PhD student

Mohsen Parto
PhD student
Moh3enparto [@] gmail [.] com

Mohammad Bagher Khamechian
PhD student
bagher[.]m[.]kh [@] gmail [.] com

Group website:

Selected Publications

1- M. Esghaei, M. Daliri and S. Treue "Attention decouples action potentials from the phase of local field potentials in macaque visual cortical area MT" BMC Biology (2018), 16 (1), 86

2- Z. Bahmani, M.R. Daliri, Y. Merrikhi, K. Clark and B. Noudoost "Working Memory Enhances Cortical Representations via Spatially Specific Coordination of Spike Times" Neuron 97 (2018), 967-979

3- M. Daliri, V. Kozyrev and S. Treue "Attention enhances stimulus representations in macaque visual cortex without affecting their signal-to-noise level" Scientific Reports (2016), 6, 27666

4- M. Esghaei, M.R. Daliri and S. Treue "Local field potentials are induced by visually evoked spiking activity in macaque cortical area MT" Scientific Reports 7 (2017), 1-11

5- M. Behroozi, M.R. Daliri and B. Shekarchi "EEG phase patterns reflect the representation of semantic categories of objects" Medical & Biological Engineering & Computing (2016), 54 (1), 205-221

6- M. Taghizadeh-Sarabi, M. Daliri and K. Salehzadeh Niksirat "Decoding Objects of Basic Categories from Electroencephalographic Signals Using Wavelet Transform and Support Vector Machines" Brain Topogr (2015), 28 (1), 33-46

7- B. Parhizi, M.R. Daliri and M. Behroozi "Decoding the different states of visual attention using functional and effective connectivity features in fMRI data" Cognitive Neurodynamics (2018), 12 (2), 157-170

8- A. Torabi, F.Z. Jahromi and M.R. Daliri "Semantic Category-Based Classification Using Nonlinear Features and Wavelet Coefficients of Brain Signals" Cognitive Computation (2017), 9 (5), 702-711


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