Why should I take part


1) LEARN MORE ABOUT YOUR MIND

Taking the Cognitron Challenge is fun and engaging and completely free.

On completing the challenge Cognitron will show you an assessment of your cognitive skills.

After the main challenge, you can then try the many other Cognitron tests

2) HELP SCIENCE AND MEDICAL RESEARCH

You will help us lay bare the secrets of human intelligence.

In the future, this will help us build better cognitive tests, which will be used in scientific and clinical research.

3) BE PART OF SOMETHING BIG

The unique intelligence test that Cognitron develops will have major applications in psychology and neuroscience research.

You can read more about the work you're helping to do by taking part here

4) CHALLENGE YOUR FRIENDS

You will be able to see how you perform relative to other participants and to challenge your friends to beat your scores.

You also will be able to come back and to improve your score or try the new tests that Cognitron develops as it learns more about human intelligence.

Get started today!

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Take the Cognitron Challenge


Cognitron starts with conventional cognitive tests, then it will progressively design newer, better and more brain-twisting exercises based on what it learns.

The Challenge will take about 30 minutes in total.
After completing all of the tests, you will be shown your results.

HOW TO TAKE PART


Create a username
Read our consent form
Take the Cognitron Tests
Review your results
Challenge your friends or try other Cognitron tests

ABOUT US

Cognitron was developed by a crack team of cognitive scientists, clinical researchers and computer engineers based in the Computational, Cognitive and Clinical Neuroimaging Laboratory at Imperial College London - one of the highest ranked universities in the world.

Tests developed by the Cognitron team in the past have been taken by hundreds of thousands of people. They are widely used in scientific research and clinical assessment around the globe.

The team has published hundreds of papers on the topic of human cognition and they are experts in artificial intelligence and machine learning.

The project builds on high-profile findings from previous research investigating the neural-basis of intelligence (Hampshire et al., Neuron 2012) and machine learning methods based on Bayesian learning (Lorenz et al., TICS 2017).