Projects
We work at the interface between the mind, brain, machines and the external world, using behavioral measurements (including eye-tracking), physiological measurements and computational modeling. We work with humans (and soon with animals, including non-human primates) as well as with open datasets, and much of our research focus is on vision, hearing and eye-movements, including both sensory, attentional and cognitive aspects. We keep a keen eye on direct applications to devices, algorithms and human health.
We practice open science !
Funding:
We are finally up and running in full swing after the long pandemic-imposed pause.
These are some of our ongoing projects:
Visual attentional dynamics and eye-movements
Lead: Amanda Pruss (co-supervised with Chris Pack) - We are continuing the work from the Yao et al. eLife paper and will investigate information transfer across eye-movements.
- How anticipatory remapping along the saccade direction predicts perisaccadic biphasic mislocalization. OSF Preprints. Krishna BS (2023).
Neuro-AI
Lead: Yohai-Eliel Berreby - We are looking at both foundational and applied issues related to how artificial and biological neural networks function.
How anticipatory remapping along the saccade direction predicts perisaccadic biphasic mislocalization. OSF Preprints. Krishna BS (2023).
Correlations between different auditory temporal response properties of inferior colliculus neurons. OSF Preprints. Berreby YE, Krishna BS. (2023).
Active vision
Leads: Katarzyna Jurewicz and Buxin Liao - Katarzyna is pursuing her IVADO-funded work on the computational, psychophysical and physiological aspects of active vision. And Buxin is working on modeling active vision.
Information integration across saccades plays a prominent role during goal-directed viewing of everyday scenes. PsyArxiv. Jurewicz K, Liao B, Krishna BS. (2023).
Correction of saccadic decisions during free-viewing visual search in the monkey. OSF Preprints. Ipata AE, Bisley JW, Krishna BS. (2023).
Audiovisual perception
Lead: Noa Kemp (co-supervised with Catherine Guastavino - We are working on multiple projects involving visual and auditory localization, motion and objecthood.
Flow
Lead: Oren Gurevitch (co-supervised with Simone Dalla Bella) - We are beginning an exciting, highly exploratory project on characterizing the physiological and phenomenological correlates of flow-states.
Strabismus
Lead: Suresh Krishna - We are starting a series of projects looking into visual perception and simple interventional possibilities in intermittent exotropes.
Music
Lead: Suresh Krishna (with Bradley Austin-Keiller and Anais Rubsamen) - In collaboration with Fabrice Marandola, we are working on eye-tracking and attentional shifts while performing music, with an aim to build a comprehensive cognitive model of music performance.
Google Summer of Code 2024
Potential projects
INCF: A social-web tool to facilitate rating and commenting on research reports
INCF: Efficient app-based measurement of visual functions in infants and young children.
An example previous project aiming to build an open-source phone-based eye-tracker using PyTorch is here.