Object/Face recognition:

How does our brain represent objects? My laboratory has focused to answer this question in several aspects. Using computational models we investigate the mechanisms underlying object representation in the cortex such as the role of feed-forward and recurrent connections and the transformation of visual information between cortical layers. We are interested to develop new computational models that increase the explanatory power of behavioral and neural data. By combining psychophysics and electroencephalography (EEG) techniques, we aim to understand the temporal dynamics of the object processing under challenging like occluded objects and non-challenging conditions and its influence on behavior.


Decision making:

Decision making is an integrative process that results in the commitment to a categorical proposition. Brain receives information from different sensory modalities and integrates them with his/her prior knowledge as well as the information about the cost of each choice. Finally, the brain commit to a choice after an amount of time and with a level confidence. Our research aims to shed more light on this process and the way it is implemented in the neural level. We applied different characteristics of real-world situations such as discretization of information, social influences etc. in our psychophysics experiments in order to investigate the process of decision making in more realistic situations. While human subjects are making decision during the experiment we record both behavioral and neural responses. Then, using computational-neural models we investigate the mechanism underlying decision making considering different aspect of real-world situations.