“Sajjad Zabbah”


IPM Positions

PostDoctoral Associate, School of Cognitive Sciences
(2020 - Present
(from 2012 to 2014 as non-resident researcher))

Research Activities

I did my master in electronic engineering and worked on different object recognition models. I got interested to understand how the brain, this most complex matter in the universe, makes decision. I am following my interest in the brain mechanism of decision making in my PhD thesis. Under supervision of Dr. Reza Ebrahimpour and Dr. Roozbeh Kiani, I am investigating the process of decision making when the environment requires the brain to actively seek evidence.

Related Papers

1. 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]
2. 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]
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. 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]
5. 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)
6. 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]
7. . 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]
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