Behavioral Engagement and Manifold Representation in the Hippocampus: Evidence from the Mutual Information of Population Encoding and Location

Abstract

Although there is significant understanding in how individual neurons in the hippocampus represent spatial location, the temporal dependence of population coding remains poorly understood. Using a novel statistical estimator and theoretical modeling, both developed in the framework of maximum entropy models, we reveal temporal changes in fidelity of the spatial map, consistent with observed gating due to behavioral engagements.

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Cite

Text

Sridharan and Sengupta. "Behavioral Engagement and Manifold Representation in the Hippocampus: Evidence from the Mutual Information of Population Encoding and Location." NeurIPS 2022 Workshops: InfoCog, 2022.

Markdown

[Sridharan and Sengupta. "Behavioral Engagement and Manifold Representation in the Hippocampus: Evidence from the Mutual Information of Population Encoding and Location." NeurIPS 2022 Workshops: InfoCog, 2022.](https://mlanthology.org/neuripsw/2022/sridharan2022neuripsw-behavioral/)

BibTeX

@inproceedings{sridharan2022neuripsw-behavioral,
  title     = {{Behavioral Engagement and Manifold Representation in the Hippocampus: Evidence from the Mutual Information of Population Encoding and Location}},
  author    = {Sridharan, Shagesh and Sengupta, Anirvan M.},
  booktitle = {NeurIPS 2022 Workshops: InfoCog},
  year      = {2022},
  url       = {https://mlanthology.org/neuripsw/2022/sridharan2022neuripsw-behavioral/}
}