# Artificial Neural Networks Can Reconstruct Connectomic Maps by Max Planck Institute for Biological Intelligence
> "Thus to analyze the data, we employ state-of-the-art deep learning techniques to infer the connectomic map, and let the artificial neural networks reconstruct the real ones."
> **— Max Planck Institute for Biological Intelligence**, *Joergen Kornfeld research-group profile*
## Sources and Context
- **Institutional source and full sentence:** [Joergen Kornfeld: Circuits of Birdsong](https://www.bi.mpg.de/kornfeld) — this is Max Planck research-profile copy explaining why Kornfeld's group uses deep learning to infer connectomic maps from electron-microscopy data.
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## Related Topics
- [[wiki/Joergen Kornfeld|Joergen Kornfeld]]
- [[wiki/Neural Interface|Neural Interface]]
- [[wiki/Neural Decoding|Neural Decoding]]
- [[wiki/Connectomics|Connectomics]]
- [[wiki/Whole-Brain Connectomics|Whole-Brain Connectomics]]
- [[wiki/Neural Mapping|Neural Mapping]]
## Share on Social Media
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"Thus to analyze the data, we employ state-of-the-art deep learning techniques to infer the connectomic map, and let the artificial neural networks reconstruct the real ones."
— Max Planck Institute for Biological Intelligence, Joergen Kornfeld research-group profile
https://bryantmcgill.com/simple-reminders-max-planck-ai-reconstruct-connectomic-maps
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