KOBI

In KOBI our aim is to understand the neural network activity mechanisms underlying various cognitive functions, in different levels of abstraction. Our major topics of interests are visual processing (attention, perception, and recognition), visual content selection (multistability), and structural and contextual learning. We take a reverse-engineering approach to reproduce our observations in multiple levels (spiking assemblies, cortical columns, and whole-brain dynamics) by using different theoretical, computational and empirical methods such as visual psychophysics, functional brain imaging and stochastic dynamic modeling.

We are collaborating with many international institutes including Istituto Superiore Di Sanita (Rome, Italy), International School of Advanced Studies (Trieste, Italy), Technion Israel Institute of Technology (Israel), Universiat Popeu Fabra (Barcelona, ​​Spain), and  Pázmány Péter Catholic University (Budapest, Hungary)