From Place Cells to Predictive Codes: Lecture Notes on the Dynamic Hippocampus

Mildred Salgado-Menez, Andre Fenton
Proceedings of the Analytical Connectionism Schools 2023--2024, PMLR 320:177-193, 2026.

Abstract

These lecture notes are based on a lecture delivered by André A. Fenton and are organized around key publications from his research program. The document synthesizes these case studies to examine the shift from single-neuron place coding to ensemble-level population dynamics, oscillatory coordination, and low-dimensional manifold structure in the hippocampus. Drawing on rodent and primate evidence, it situates these findings within frameworks from dynamical systems theory and machine learning. The aim is not to provide a comprehensive review, but to articulate a conceptual perspective on hippocampal function grounded in a specific line of empirical work.

Cite this Paper

BibTeX
@InProceedings{pmlr-v320-salgado-menez26a, title = {From Place Cells to Predictive Codes: Lecture Notes on the Dynamic Hippocampus}, author = {Salgado-Menez, Mildred and Fenton, Andre}, booktitle = {Proceedings of the Analytical Connectionism Schools 2023--2024}, pages = {177--193}, year = {2026}, editor = {Sarao Mannelli, Stefano and Mignacco, Francesca and Chou, Chi-Ning and Chung, SueYeon and Saxe, Andrew}, volume = {320}, series = {Proceedings of Machine Learning Research}, month = {01 Jan--31 Dec}, publisher = {PMLR}, pdf = {https://raw.githubusercontent.com/mlresearch/v320/main/assets/salgado-menez26a/salgado-menez26a.pdf}, url = {https://proceedings.mlr.press/v320/salgado-menez26a.html}, abstract = {These lecture notes are based on a lecture delivered by André A. Fenton and are organized around key publications from his research program. The document synthesizes these case studies to examine the shift from single-neuron place coding to ensemble-level population dynamics, oscillatory coordination, and low-dimensional manifold structure in the hippocampus. Drawing on rodent and primate evidence, it situates these findings within frameworks from dynamical systems theory and machine learning. The aim is not to provide a comprehensive review, but to articulate a conceptual perspective on hippocampal function grounded in a specific line of empirical work.} }
Endnote
%0 Conference Paper %T From Place Cells to Predictive Codes: Lecture Notes on the Dynamic Hippocampus %A Mildred Salgado-Menez %A Andre Fenton %B Proceedings of the Analytical Connectionism Schools 2023--2024 %C Proceedings of Machine Learning Research %D 2026 %E Stefano Sarao Mannelli %E Francesca Mignacco %E Chi-Ning Chou %E SueYeon Chung %E Andrew Saxe %F pmlr-v320-salgado-menez26a %I PMLR %P 177--193 %U https://proceedings.mlr.press/v320/salgado-menez26a.html %V 320 %X These lecture notes are based on a lecture delivered by André A. Fenton and are organized around key publications from his research program. The document synthesizes these case studies to examine the shift from single-neuron place coding to ensemble-level population dynamics, oscillatory coordination, and low-dimensional manifold structure in the hippocampus. Drawing on rodent and primate evidence, it situates these findings within frameworks from dynamical systems theory and machine learning. The aim is not to provide a comprehensive review, but to articulate a conceptual perspective on hippocampal function grounded in a specific line of empirical work.
APA
Salgado-Menez, M. & Fenton, A.. (2026). From Place Cells to Predictive Codes: Lecture Notes on the Dynamic Hippocampus. Proceedings of the Analytical Connectionism Schools 2023--2024, in Proceedings of Machine Learning Research 320:177-193 Available from https://proceedings.mlr.press/v320/salgado-menez26a.html.

Related Material