Advancing neural predictive models
of the visual cortex
Benchmarks, tools, and data for predicting large-scale mouse primary visual cortex activity
Explore the ResourcesMission
The Sensorium Competition brings together the machine learning and neuroscience communities to develop state-of-the-art models for predicting neural responses in the visual cortex. Through open datasets and quantitative evaluation, we advance our understanding of how the brain processes visual information.
Understanding the Brain
Build predictive models that capture how neural populations in the visual cortex respond to natural stimuli
AI-Neuroscience Bridge
Foster collaboration between artificial intelligence and neuroscience to advance both fields
Open Science
Provide large-scale, publicly available datasets and standardized evaluation metrics for reproducible research
Community Challenge
Create a competitive platform where researchers can compare models on equal footing
Competitions
Sensorium 2023: Dynamic Visual Stimuli
Predicting neural responses to natural scene videos. This edition introduced temporal dynamics, using ~1800 videos (~10 seconds each) as stimuli.
Sensorium 2022: Static Visual Stimuli
The inaugural competition focused on predicting neural responses to natural images. Participants built models to predict activity from thousands of neurons.
Resources
Experanto
Python package for interpolating recordings and stimuli of neuroscience experiments. Provides tools for temporal alignment and data processing.
View on GitHub2022 Starter Kit
Tutorial notebooks and baseline models to help you get started with the competition quickly.
2022 Kit2023 Starter Kit
Tutorial notebooks and baseline models to help you get started with the competition quickly.
2023 KitTeam
Founders
Competition Leads
Polina Turishcheva
2023 Lead
University of Göttingen
Konstantin F. Willeke
2022 Lead
University of Göttingen
Paul Fahey
2022 & 2023 Data Lead
Baylor College of Medicine/Stanford
Contributors
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Mohammad Bashiri
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Laura Pede
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Max F. Burg
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Christoph Blessing
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Santiago A. Cadena
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Zhiwei Ding
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Konstantin-Klemens Lurz
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Kayla Ponder
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Taliah Muhammad
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Saumil S. Patel
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Michaela Vystrcilova
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Laura Hansel
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Rachel Froebe
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Kayla Ponder
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Yongrong Qiu
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Eric Wang
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Zhiwei Ding
Funding
