Perceptual

Computational Cognitive & Translational Neuroscience

From how experts see to how the brain understands.

Overview

We use eye-tracking, MEG and behavioural data to study perception, visual expertise and cognition, and translate those insights toward training, diagnosis and the clinic.

Computational Cognitive & Translational Neuroscience studies how the brain perceives, attends and understands, and how those processes can be measured, modelled and put to clinical use. It is where the lab's computational methods meet cognition and behaviour. A distinctive strand of this work is the study of visual expertise: using eye-tracking and scanpath analysis to understand how experts such as radiologists and neurosurgeons search and interpret complex medical images, with implications for training and for building systems that align with human reasoning. Alongside this we work with magnetoencephalography (MEG) and other neural signals to probe perception and cognition directly, and we pursue translational questions that connect cognitive neuroscience to real clinical and educational settings. The emphasis throughout is translation, turning measurements of cognition into tools and insights that reach practice.

Methods

Techniques & approaches

The computational methods that underpin this research area

Radiomics

Eye-tracking and scanpath analysis, Visual search and expertise, Magnetoencephalography (MEG), Attention and perception modelling, Radiological expertise, Translational study design

Publications

Selected publications in this area

Journal article

2024

SoftMatch: comparing scanpaths using combinatorial spatio-temporal sequences with fractal curves

Newport R.A., Russo C., Liu S., Suman A.A., Di Ieva A.

Sensors

Journal article

2024

Characterizing visual neurosurgical expertise in brain MRI visualization using eye-tracking and 3D fractal dimension analysis

Kumari P., Azemi G., Russo C., Ieva A.D.

Journal of Eye Movement Research

Book chapter

2024

Computational and translational fractal-based analysis in the translational neurosciences: an overview

Di Ieva A.

The fractal geometry of the brain

Book chapter

2024

Declaration of computational neurosurgery

Di Ieva A., Suero Molina E., Somerville M.A., Beheshti A., Staartjes V.E., Serra C., Theodore N., Elliott J.M., Wesselink E.O., Russo C., Pilitsis J.G., Bennett C.C., Wu S., Hammond F.M., Lozano A.M., Cusimano M.D., Davidson J.M., Castellano J.F., Okonkwo D.O., Arefan D., Lee C., Zanier O., Da Mutten R., Matula C., Rutka J.T., Pease M., Liu S., Stummer W., Matulionyte R., Yang H., Yuwen C., Cheng X., Fan H., Wang X., Ge Z., Cepeda S., Sheehan J.P., Yang J.Y.M., Hamer R.P., Cohen-Gadol A., Hansford J.R., Savage G., Sowman P.F., Stewart C., Kateb B., Sherif C., Perperidis A., Guller A., Hanft S., D’Amico R.S., Sav A., Cong C., Song Y., Nicolosi F., Wiedmann M.K.H., Barone D.G., Noorani I., Magnussen J., Krieg S.M., Meling T.R., De Ridder D., Lawton M.T., Rosenfeld J.V.

Computational neurosurgery

Funding

Selected funding in this area

Grants supporting our computational neuroimaging research programme

Macquarie University

CEPET Research Centre

$150,000

CEPET Research Centre

Macquarie University

AI platform for how the brain perceives complex images

$103,309

Research Infrastructure Scheme (MQRIS-S)

Macquarie University

Biomarkers of pain control after spinal cord stimulation

$50,000

Research Acceleration Scheme (MQRAS)

Macquarie University

What musicians are looking at

$4,000

CEPET Start-up Grant

Browse publications.

Join our work.

Explore the full body of CNS Lab research or contact us to discuss collaboration opportunities.