The
brain's
major
purpose
        is to generate actions to interact with our environment. Sensory
        inputs are the main sources of information used to guide these
        actions. In my lab, we are interested in (1) how different
        sensory inputs are combined to generate a unified representation
        of the world that can then be (2) interpreted and transformed
        into action plans which (3) control our different motor systems.
        All three stages of this process are highly dynamic and
        represent complex computational steps. 
        
        
 Please find a list of equipment
          available in my lab here
        
        Please find a list of equipment
          available in my lab here.
        
        
        
        Some of the specific questions that we try to answer in the lab
        are the following: 
        
How and where does the brain perform the complete 3D
          reference frame transformation of hand and target position for
          reaching?
        
          
            
              | This research line
                investigates how the brain performs the geometric
                transformation between the incoming visual (and / or
                proprioceptive) information of the hand and/or reach
                target and the motor command sent to direct reaching arm
                movements. I'm interested in how position and velocity
                signals are used and combined in the brain in a
                geometrically optimal fashion to produce accurate
                behavior. Investigating this issue involves modeling of
                the underlying geometry, a neural network approach to
                address how this transformation could be performed by
                distributed processing in the brain and functional brain
                imaging to uncover where and when in the brain these
                processes take place. 
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        Where and how does the brain use
              3D position and velocity signals for saccade and smooth
              pursuit control?
        
          
            
              | Smooth pursuit and
                saccadic eye movements interact a great deal. Saccades
                can occur during smooth pursuit and in addition the head
                can move during a pursuit movement as it can during
                saccades. As a result we have 3 control systems
                (saccade, pursuit and head) that have to be coordinated
                in time in order to produce accurate and optimal
                combined behaviour. The use of retinal and extraretinal
                3D position and velocity signals in this control problem
                are of special interest to me. How can we generate
                geometrically accurate combined eye and head movements?
                How is visual information transformed into motor
                commands for the eyes and head. And how do higher-level
                processes (e.g. attention) influence this eye-head
                coordination for saccades and pursuit. 
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        How are
              different sensory sources used for perception and internal
              representation of 3D space?
        
          
            
              | We
live
in
a
                3D environment. However, most research investigating
                perception and action in 3D space ignores the distance
                dimension and considers space merely as a 2D surface.
                Therefore, there are many unsolved problems and
                questions concerning the use of 3D signals in perception
                and the internal representation of 3D space for action.
                For example, how can a 3D internal representation of
                space be constructed from binocular vision in a
                distributed processing scheme? Are the same 3D eye and
                head position signals that are used for action also used
                for perception? There are many open theoretical and
                experimental questions to answer here. 
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