Department of Cognitive Sciences
Bio:
I am a PhD students in Dr. Ayelet N. Landau’s Brain, Attention & Time
Lab. My research focuses on the relationship between brain oscillations and perception across the visual hierarchy. My aim is to understand the origin of neural rhythmic dynamics that affect the internal computation of our sensory inputs. I adopt behavioral and electrophysiological experiments to evaluate the evolution of perceptual capabilities of human subjects across time. My background in neuro-engineering, allows me to integrate these results
with simulated output from neural computational models.
Subject: Perceptual rhythms in visual awareness
Abstract:
Recently, it was found that attention oscillates rhythmically, alternating between moments in which the input processing is more efficient and moments in which it is less efficient. The systems-level implication of these oscillations is that perception is not a continuous event, but is rather subject to the cyclic changes
of the networks processing the input. The aim of my project is to investigate whether the rhythmic oscillation performed by attention intervenes in unaware (suppressed) perceptual processes. This experimental effort may contribute
drastically to the unveiling of the interaction between attention and awareness and to understand better the origin of this rhythmic dynamic that affect the internal computation of our sensory inputs.
Supervisor: Dr. Ayelet Landau
Publications:
Re, D., Gibaldi, A., Sabatini, S.P. and Spratling, M.W., 2017. An Integrated System based on Binocular Learned Receptive Fields for Saccade-vergence on Visually Salient Targets. In VISIGRAPP (6: VISAPP) (pp. 204-215).
Re, D., Inbar, M., Richter, C.G. and Landau, A.N., 2019. Feature-based attention samples stimuli rhythmically. Current Biology, 29(4), pp.693-699.