Abstract representation in the hippocampus predicts spontaneously adopted structure-based behavioral strategy

High-dimensional hippocampus representation facilitates learning of low-dimensional abstract representation and supports generalization
Bin Wang, W. Jeffrey Johnston, Stefano Fusi
bioRxiv24 Oct 2026PreprintAll rights reservedFull textNeurosciencebioRxivPMC
CUBE: Multimodal Representation Learning Reveals Biological Structure Across Histomorphology, Spatial Protein Phenotypes, and Transcriptome-Associated Signals
Z. Ge, H. Cai
bioRxiv14 Sep 2026PreprintAll rights reservedFull textBioinformatics & computational biologybioRxiv
Intrinsic Ionic Mechanisms Underlying Burst Firing in Spontaneously Active Dorsal Horn Parvalbumin Interneurons
R. F. D. Jalandoni, C. Todrineau, H. Qiu +4
bioRxiv5 Sep 2026PreprintAll rights reservedFull textNeurosciencebioRxiv
Invariance before structure: two modes of emergent compression in representation learning
Hardik Rajpal, Dan Goodman
arXiv5 Nov 2026PreprintCC BY 4.0Full textNeurosciencearXiv
Topological structure in human spatial representation revealed through drawing
M. Kittur, A. Zhang, N. Bryce +1
bioRxiv12 Jun 2026PreprintCC BYFull text1 citedZoology & animal behaviourbioRxiv

Cite

BibTeX

@misc{jiang2026abstract,
  title = {{Abstract representation in the hippocampus predicts spontaneously adopted structure-based behavioral strategy}},
  author = {Y. Jiang and Y. Liu and X. Zhao},
  howpublished = {bioRxiv},
  year = {2026},
  month = sep,
  doi = {10.64898/2026.09.20.752934},
  url = {https://www.biorxiv.org/content/10.64898/2026.09.20.752934v1},
}

RIS

TY  - UNPB
TI  - Abstract representation in the hippocampus predicts spontaneously adopted structure-based behavioral strategy
AU  - Y. Jiang
AU  - Y. Liu
AU  - X. Zhao
PY  - 2026
DA  - 2026/09/20
PB  - bioRxiv
DO  - 10.64898/2026.09.20.752934
UR  - https://www.biorxiv.org/content/10.64898/2026.09.20.752934v1
ER  -

Related

Cite