Latest Research
Linking brain predictions to cognitive tests at scale with executable brain models→
May 19, 2026Cortex: A unified framework for evaluating the predictive and cognitive alignment of vision models entirely zero-shot→
May 17, 2026In-silico replications and hypothesis testing for model benchmarking→
May 15, 2026Using cognitive tests to reveal the strengths and limits of brain encoding models→
April 13, 2026Cortex-Canvas: An Interactive Web Interface for Executing and Evaluating Models of Category-Selective Regions in Human Visual Cortex→
Frequently Asked Questions
Cortex is a unique platform that makes it simple to run neuroscience experiments and explore how AI models predict brain activity. With pre-trained models and neuroscience datasets already built in, you can skip the heavy setup and immediately start testing hypotheses, benchmarking models, and uncovering insights that connect AI and the human brain.
There are many ways to join the Cortex community: as a contributor, researcher, or developer. You can add datasets, collaborate on experiments, or help enhance platform features. Every contribution helps advance the science of brain–AI alignment.
Cortex offers two main ways to dive in: the Lab, where you can upload your own stimuli and run experiments with different models and brain regions, and the Scoreboard, where you can compare models across datasets and see which ones best explain neural responses.
Cortex only processes the stimuli you upload for the purpose of running experiments. Any temporary files are used only to generate predictions and results during your session.
You can share new datasets by reaching out to the Cortex team. Contributed datasets should include paired image stimuli and brain response data and follow ethical and reproducibility standards. Once validated, your dataset becomes part of the platform.
Cortex currently includes core visual neuroscience regions such as the Fusiform Face Area (FFA), the Parahippocampal Place Area (PPA), and the Extrastriate Body Area (EBA). More regions will be added as new datasets become available.
Our Team
- N Apurva Ratan Murty, Principal Investigator, The School of Psychological and Brain Sciences, Georgia Institute of Technology
- Ruolin Wang, Project Lead
- Mayukh Deb
- Alish Dipani
- Mainak Deb
- Kushal Reddy Dudipala
- Sanjana Chillarege
- Kruthik Ravikanti
- Yuxuan Li
- Arya Bhanushali
- Ranjani Koushik
- Alex Abate
- Haider Al Tahan
- Herrick Fung
- Nikolas McNeal
- Junxia Wang
- Florencia (Flo) Martinez Addiego