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# Contrasting action and posture coding with hierarchical deep neural network models of proprioception
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Highlights:
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This repository contains code for the manuscript ["Contrasting action and posture coding with hierarchical deep neural network models of proprioception"](https://www.biorxiv.org/content/10.1101/2020.05.06.081372v3), by Kai J Sandbrink*, Pranav Mamidanna*, Claudio Michaelis, Matthias Bethge, Mackenzie W Mathis** and Alexander Mathis**.
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Highlights of the paper:
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- We provide a normative approach to derive neural tuning of proprioceptive features from behaviorally-defined objectives.
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- We propose a method for creating a scalable muscle spindles dataset based on kinematic data and define an action recognition task as a benchmark.
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### References
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This repository contains code for the manuscript "Contrasting action and posture coding with hierarchical deep neural network models of proprioception", by Kai J Sandbrink, Pranav Mamidanna, Claudio Michaelis, Matthias Bethge, Mackenzie W Mathis and Alexander Mathis.
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This repository contains code for the manuscript "Contrasting action and posture coding with hierarchical deep neural network models of proprioception", by Kai J Sandbrink*, Pranav Mamidanna*, Claudio Michaelis, Matthias Bethge, Mackenzie W Mathis* and Alexander Mathis*.
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Preprint: https://www.biorxiv.org/content/10.1101/2020.05.06.081372v2

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