I have a strong background in computational modelling. Using techniques from computer science and artificial intelligence I study perceptual processes in the human brain. I combine data from neuroimaging (EEG, neurophysiology, etc.) with behavioural measures (eye-tracking, response times, etc.) to build computational models of the dynamics neural dynamics of perceptual processes in the human (primate) brain.
Specifically, during my PhD I will investigate the role of pre-cortical processes on visual perception. Introducing computations from pre-cortical structures into the training pipeline of deep convolutional neural network will probe the necessity of structures like the retina or the LGN for visual tasks like object recognition.