Sensorymotor cognition
and computation
laboratory
How do we navigate and thrive in ever-changing environments?
Success hinges on our ability to swiftly and accurately process sensory information,
translating it into appropriate motor actions to adapt to significant environmental changes.
A range of cognitive factors refines this process, boosting our chances of survival by enhancing the efficiency of the information processing.
To delve into the intricacies of these information processes and the interplay between sensory-motor functions and cognitive control,
we adopt behavioral paradigms tailored to address these questions.
Our approach includes recording electroencephalography (EEG) activity from human subjects and multiunit activity from non-human primates.
To further illuminate the underlying computations, we employ mathematical modeling, bridging the gap between neural data and core principles.
01
Implementation of Bayesian inference in cortical circuits
We investigate how Bayesian inference is implemented in cortical circuits using electrophysiological recordings and computational modeling.
02
Feedforward and feedback information processes in laminar circuits
Using apparent motion perception task, we investigate the interactions between feedforward and feedback signals that happen in cortical laminar circuitry
03
Neural origins of astigmatic perceptual bias: EEG study
We investigate how astigmatism induced perceptual errors and biases are mediated by modulation of neural information using multivariate analysis of EEG activity.
04
Neural representation of motion expectation in a sensory-motor behavior: EEG study
We investigate the neural representation of motion expectations (expectation for motion direction, speed, and timing) in a smooth pursuit eye movements using multivariate analysis of EEG recordings.
Sensorimotor Cognition and Computation Laboratory 