A Minimalistic Representation Model for Head Direction System
Abstract
We present a minimalistic representation model for the head direction (HD) system, aiming to learn a high-dimensional representation of head direction that captures essential properties of HD cells. Our model is a representation of rotation group $U(1)$, and we study both the fully connected version and convolutional version. We demonstrate the emergence of Gaussian-like tuning profiles and a 2D circle geometry in both versions of the model. We also demonstrate that the learned model is capable of accurate path integration.
Cite
Text
Zhao et al. "A Minimalistic Representation Model for Head Direction System." NeurIPS 2024 Workshops: NeurReps, 2024.Markdown
[Zhao et al. "A Minimalistic Representation Model for Head Direction System." NeurIPS 2024 Workshops: NeurReps, 2024.](https://mlanthology.org/neuripsw/2024/zhao2024neuripsw-minimalistic/)BibTeX
@inproceedings{zhao2024neuripsw-minimalistic,
title = {{A Minimalistic Representation Model for Head Direction System}},
author = {Zhao, Minglu and Xu, Dehong and Kong, Deqian and Zhang, Wenhao and Wu, Ying Nian},
booktitle = {NeurIPS 2024 Workshops: NeurReps},
year = {2024},
url = {https://mlanthology.org/neuripsw/2024/zhao2024neuripsw-minimalistic/}
}