Pupillometry
pupillometry
Neural makers of lapses in attention during sustained ‘real-world’ task performance
Lapses in attention are ubiquitous and, unfortunately, the cause of many tragic accidents. One potential solution may be to develop assistance systems which can use objective, physiological signals to monitor attention levels and predict a lapse in attention before it occurs. As it stands, it is unclear which physiological signals are the most reliable markers of inattention, and even less is known about how reliably they will work in a more naturalistic setting. My project aims to address these questions across two experiments: a lab-based experiment and a more ‘real-world’ experiment. In this talk I will present the findings from my lab experiment, in which we combined EEG and pupillometry to detect markers of inattention during two computerised sustained attention tasks. I will then present the methods for my second, more ‘naturalistic’ experiment in which we use the same methods (EEG and pupillometry) to examine whether these markers can still be extracted from noisier data.
Binocular combination of light
The brain combines signals across the eyes. This process is well-characterized for the perceptual anatomical pathway through V1 that primarily codes contrast, where interocular normalization ensures that responses are approximately equal for monocular and binocular stimulation. But we have much less understanding of how luminance is combined binocularly, both in the cortex and in subcortical structures that govern pupil diameter. Here I will describe the results of experiments using a novel combined EEG and pupillometry paradigm to simultaneously index binocular combination of luminance flicker in parallel pathways. The results show evidence of a more linear process than for spatial contrast, that may reflect different operational constraints in distinct anatomical pathways.
Putting non-image forming responses to light into practice
Beyond vision, light triggers a variety of non-image forming responses. Amongst these is the pupillary light reflex, commonly used by ophthalmologists to gauge the function of the optic nerve head. In my talk, I will share some of our latest work on optimizing the use of the pupillary light reflex to detect functional loss in ocular diseases in clinics.
How do ipRGCs work? Evidence from the pupil light reflex
Since the discovery of the intrinsically photosensitive retinal ganglion cells (ipRGCs) – just two decades ago – substantial work has been carried out trying to understand their functioning. In this seminar, I’ll focus on pupillometry studies that have provided key clues about ipRGC behavior. Specifically, the interaction between the intrinsic response, rods, and cones will be discussed.
The pharmacology of consciousness
My research uses a range of methods to better understand how the brain’s natural chemicals control complex behaviours, thoughts and perceptions. I also have a particular fascination about the factors that determine the contents of an individual’s conscious experience. In this talk I will present work that sits at the intersection of these two research areas looking at the role of different neurotransmitter systems in driving changes in conscious state. Specifically, I will discuss a series of studies using ambiguous stimuli to explore the neuropharmacological processes that underly alternations in perceptual awareness. By comparing different methods and neurotransmitter systems including: serotonin (psychedelics), noradrenaline (pupillometry) and Glutamate/GABA (Magnetic Resonance Spectroscopy MRS) we can start to tease apart the distinct role that different neurotransmitter systems play in coordinating conscious experience across time.
Age-related differences in pupil dynamics assessed with cognitive pupillometry
FENS Forum 2024
Bayesian perceptual adaptation in auditory motion perception: A multimodal approach with EEG and pupillometry
FENS Forum 2024
Hippocampus is necessary for implicit statistical learning: Insights from mouse and human pupillometry
FENS Forum 2024