skip to content

Adaptive Brain Lab

 

Ultra-High-Field Neuroimaging Reveals Fine-Scale Processing for 3D Perception

Binocular vision plays a significant role in supporting our interactions with the surrounding environment. The fine-scale neural mechanisms that underlie the brain’s skill in extracting 3D structure from binocular signals are poorly understood. Here, we capitalize on recent advances in ultra-high-field (UHF) functional imaging to interrogate human brain circuits involved in 3D perception at sub-millimetre resolution. We provide evidence for the role of area V3A as a key nexus for disparity processing that is implicated in feedforward and feedback signals related to the perceptual estimation of 3D structure from binocular signals. These fine-scale measurements help bridge the gap between animal neurophysiology and human fMRI studies investigating cross-scale circuits: from micro-circuits to global brain networks for 3D perception.

https://doi.org/10.1523/JNEUROSCI.0065-21.2021

 

Twitter Feed

Latest news

New Job Posting - Research Programme Manager

29 April 2025

We have a position available for a Research Programme Manager to support and manage the programme of research at the Adaptive Brain Lab The position will have responsibility for co-ordinating research activity, managing a number of large scale grants and providing a broad range of administrative services to support our...

AI and Health - #ShapingAIForEveryone

8 April 2025

The work of Professor Zoe Kourtzi and the Adaptive Brain Lab is featured as one of the key ways that Cambridge researchers are looking at and using AI in health and medicine. You can read more details about how Cambridge is #ShapingAIForEveryone and specifically tackling dementia via the following link: AI can be good for...

Novel MRI Sequence Unlocks New Doors in Preclinical Imaging

4 February 2025

The analytical capabilities of magnetic resonance imaging (MRI) can be used in both clinical and preclinical imaging applications to understand structural and functional information with high spatial and temporal resolution. Professor Uzay Emir, Dr. Stephen Sawiak, and the teams from Purdue University, the University of...