Research

The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence

Computational neuroscience

Authors

  • Radoslaw Martin Cichy
  • Gemma Roig
  • Alex Andonian
  • Kshitij Dwivedi
  • Benjamin Lahner
  • Alex Lascelles
  • Yalda Mohsenzadeh
  • Kandan Ramakrishnan
  • Aude Oliva

Published on

09/16/2019

In the last decade, artificial intelligence (AI) models inspired by the brain have made unprecedented progress in performing real-world perceptual tasks like object classification and speech recognition. Recently, researchers of natural intelligence have begun using those AI models to explore how the brain performs such tasks. These developments suggest that future progress will benefit from increased interaction between disciplines. Here we introduce the Algonauts Project as a structured and quantitative communication channel for interdisciplinary interaction between natural and artificial intelligence researchers. The project’s core is an open challenge with a quantitative benchmark whose goal is to account for brain data through computational models. This project has the potential to provide better models of natural intelligence and to gather findings that advance AI. The 2019 Algonauts Project focuses on benchmarking computational models predicting human brain activity when people look at pictures of objects. The 2019 edition of the Algonauts Project is available online: http://algonauts.csail.mit.edu/.

This work was presented at the Conference on Cognitive Computational Neuroscience (CCN) 2019.

Please cite our work using the BibTeX below.

@inproceedings{cichy2019algonauts,
  title={The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence},
  author={Cichy, Radoslaw Martin and Roig, Gemma and Andonian, Alex and Dwivedi, Kshitij and Lahner, Benjamin and Lascelles, Alex and Mohsenzadeh, Yalda and Ramakrishnan, Kandan and Oliva, Aude},
  booktitle={CCNeuro},
  year={2019},
  url={https://ccneuro.org/2019/proceedings/0000264.pdf}
}
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