How the brain processes natural visual scenes
Official title: Neural processing of natural scenes in the visual cortex
Funded at Stanford University · NIH-10893359 · Data updated 2026-11-12
This study is looking at how our brains see and understand complex scenes by observing how mice move their eyes and bodies, which could help us learn more about vision problems and how we see the world around us.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project start | September 1, 2023 |
| Project end | June 30, 2027 |
| Funding year | 2024 |
| Award (this year) | $398,246 |
| NIH project number | 5R01EY034566-02 |
| Project ID | NIH-10893359 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for participation or benefit from this research would include individuals with visual processing disorders or those affected by conditions like amblyopia.
✕Less likely to help
Patients with purely structural eye issues unrelated to neural processing may not receive benefit from this research.
What this research studies
This research investigates how the brain's visual system encodes and processes complex natural scenes, focusing on the role of eye and body movements in shaping visual perception. By studying mice, the researchers aim to understand the neural codes that represent visual information from the retina to the visual cortex. The project employs advanced computational models to analyze how different types of retinal cells contribute to visual processing and how motor activity influences this representation. This work could provide insights into visual disorders and improve our understanding of visual behavior.
Why it matters
Potential benefit: If successful, this research could lead to improved treatments for visual disorders such as amblyopia and blindness.
How similar studies have gone: Other research has shown success in understanding visual processing through similar approaches, particularly in animal models.
Where this research is happening
-
Stanford University
Stanford, United States Active
Researchers
- Principal investigator: Baccus, Stephen a — Stanford University
- Study coordinator: Baccus, Stephen a
Related research
Other NIH-funded projects on the same topics.
-
Multimodal AI to predict CAR-T patient response and guide safer, smarter cell design
A Stanford team is building AI tools that use patient and CAR-T cell data to predict how well a CAR-T therapy will work and what design changes might boost effectiveness and safety for people with cancer.
-
Community-driven model to reduce overdose deaths through smarter resource use
A Stanford-led project uses a data-driven model to help counties pick the best ways to prevent opioid and stimulant overdoses and save lives.
-
Center for Dissemination and Implementation at Stanford: Research Core
A Stanford-based program is advancing how evidence-based addiction treatments are implemented across settings to help people with substance use disorders receive better care.
-
Center for Dissemination and Implementation At Stanford (C-DIAS)
A center-based program at Stanford aims to speed people who need addiction treatments to get evidence-based care.
-
Mitochondrial structure and neuron health in Alzheimer's and ALS
This grant studies how mitochondrial cristae structure in neurons is controlled and how its disruption may contribute to diseases like Alzheimer's and ALS.
-
Pediatric EMS seizures: simpler age-based midazolam dosing
A nationwide trial at EMS agencies tests whether using fixed, age-based dosing of midazolam for seizures in children improves treatment speed and safety.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.