MATLAB BiopsyToolbox




Dr. rer. nat. Mehdi Behroozi

...Ruhr-University Bochum
Fakultät für Psychologie
AE Biopsychologie
D-44780 Bochum, Germany

Room: IB 6-137
Phone: +49 234 32 26845
Fax: +49 234 32 14377


Curriculum Vitae

Since 2019 Postdoc at Institute for Cognitive Neuroscience, Ruhr-University Bochum
2015 – 2018 PhD Student at Institute of cognitive Neuroscience, Ruhr-University Bochum
Thesis topic: Establishing a novel fMRI approach to investigate visual cognitive properties in pigeons
Supervisors: Prof. Drs. Onur Güntürkün, Prof. Dr. Nikolai Axmacher
2012 – 2014 Research Assistant, IPM (Institute for Research in Fundamental Sciences),
School of Cognitive Sciences (SCS), functional magnetic resonance imaging Tehran, Iran.
(Dr. Mohammad Reza Daliri)
2011 Research Assistant, Bilkent University, UMRAM Lab, Ankara, Turkey:
Human visual attention mechanism decoding.
(Dr. Boyaci)
2010 – 2012 M.Sc. Biomedical Engineering at Iran University of Science and Technology (IUST):
Decoding human cognitive states from functional Magnetic resonance imaging (fMRI). (Dr.Mohammad Reza Daliri and Dr. Hoseyin Boyaci)
2005 – 2009 B.Sc. Communication Engineering, Islamic Azad university of Urmia,Iran


methods and Research Interests

  • Avian cognition and behaviour
  • Magnetic Resonance Imaging (MRI)
  • Functional MRI (fMRI)
  • Diffusion Tensor Imaging (DTI)
  • Statistical Pattern Recognition
  • Machine Learning



Publication list on google scholar

  • Tabrik S., Behroozi M., Schlaffke L., Heba S., Lenz M., Lissek S., Güntürkün O., Tegenthoff M. (2021) Visual and tactile modalities share common features in object recognition. eNeuro, 8(5):ENEURO.0101-21
  • Wittek, N., Matsui, H., Behroozi, M., Otto, T., Wittek, K., Sarı, N., Stoecker, S., Letzner, S., Choudhary, V. & Güntürkün, O. (2021). Independence between hemispheres during perceptual decision making in evidence accumulation process of pigeons. Journal of experimental psychology: Animal learning and cognition, 47(3):303–316.
  • Behroozi, M., Helluy, X., Ströckens, F., Meng, G., Pusch, R., Tabrik, S., Tegenthoff, M., Otto, T., Axmacher, N., Genc E., Güntürkün O. (2020). Event-Related functional MRI in awake behaving pigeons. Nature Communications. 11, 4715.
  • Billings B.K.*, Behroozi M.*, Helluy X., Bhagwandin A., Manger P.R., Güntürkün O., Ströckens F. (2020) A 3-dimensionsal digital atlas of the Nile crocodile (Crocodylus niloticus) forebrain. Brain Structure and Function, 225, 683–703.
  • Behroozi M., Billings B.K., Helluy X., Manger P.R., Güntürkün O., Ströckens F. (2018) Functional MRI in the Nile crocodile: a new avenue for evolutionary neurobiology. Proc. R. Soc. B. Biol. Sci. 285, 20180178.
  • Parhizi B., Daliri M.R., Behroozi M. (2018) Decoding the different states of visual attention using functional and effective connectivity features in fMRI data. Cognitive Neurodynamics, 12: 157.
  • Behroozi M., Chwiesko C., Ströckens F., Sauvage M., Helluy, X., Peterburs J., Güntürkün O. (2018) In Vivo Measurement of T1 and T2 Relaxation Times in Awake Pigeon and Rat Brains at 7T. Magnetic Resonance in Medicine, 79:1090–1100.
  • Behroozi M., Ströckens F., Helluy X., Stacho M., Güntürkün O. (2017) Functional Connectivity Pattern of the Internal Hippocampal Network in Awake Pigeons: a Resting-State fMRI Study. Brain, Behavior and Evolution, 90:62–72.
  • Behroozi M., Daliri M.R., Shekarchi B. (2016) EEG Phase Patterns Reflect the Representation of Semantic Categories of Objects. Med Biol Eng Comput. 54(1):205-21.
  • Behroozi M. and Daliri M. R. (2015) RDLPFC Area of the Brain Encodes the Sentence Polarity: a Study Using fMRI. Brain Imaging and Behav, 9(2):178-89.
  • Behroozi M. and Daliri M. R. (2014) Prediction Brain States Associated with Object Categories from fMRI Data. J Integr Neurosci, 13(4):645-667.
  • Daliri M.R., Behroozi M., (2013) Advantage and Disadvantages of Resting State Functional Connectivity Magnetic Resonance Imaging (fcMRI) for Clinical Applications. OMICS J Radiology. 3: e123.
  • Behroozi M. and Daliri M. R. (2012) Software Tools for Functional Magnetic Resonance Imaging (fMRI). Basic and Clinical Neuroscience, 3(5): 19-20.
  • Daliri MR, Behroozi M (2012) fMRI: Clinical and Research Applications. OMICS J Radiology. 1:e112.
  • Behroozi M.,Daliri M. R., Boyaci H. (2011) Statistical analysis methods for the fMRI data. Basic and Clinical Neuroscience. 2(4):67-74.






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