Merge pull request #60 from LevensteinLab/copilot/add-hippocampus-models

Add Hippocampus/MEC recent models section to recommended reading

Author: dlevenstein

docs/Resources/recommended_reading.md

@@ -36,6 +36,19 @@
 
 - https://pmc.ncbi.nlm.nih.gov/articles/PMC4648295/
 
+**Hippocampus/MEC - recent models**
+
+- [The hippocampus as a predictive map](https://pubmed.ncbi.nlm.nih.gov/28967910/), Stachenfeld KL et al, 2017, Nat Neurosci
+- [Vector-based navigation using grid-like representations in artificial agents](https://pubmed.ncbi.nlm.nih.gov/29743670/), Banino A et al, 2018, Nature
+- [The Tolman-Eichenbaum Machine: Unifying Space and Relational Memory through Generalization in the Hippocampal Formation](https://pubmed.ncbi.nlm.nih.gov/33181068/), Whittington JCR et al, 2020, Cell
+- [A model of egocentric to allocentric understanding in mammalian brains](https://www.biorxiv.org/content/10.1101/2020.11.11.378141v2), Uria B et al, 2020, bioRxiv
+- [Place cells may simply be memory cells: Memory compression leads to spatial tuning and history dependence](https://pubmed.ncbi.nlm.nih.gov/34916282/), Benna MK et al, 2021, Proc Natl Acad Sci U S A
+- [Predictive learning as a network mechanism for extracting low-dimensional latent space representations](https://pubmed.ncbi.nlm.nih.gov/33658520/), Recanatesi S et al, 2021, Nat Commun
+- [Clone-structured graph representations enable flexible learning and vicarious evaluation of cognitive maps](https://pubmed.ncbi.nlm.nih.gov/33888694/), George D et al, 2021, Nat Commun
+- [A unified theory for the computational and mechanistic origins of grid cells](https://pubmed.ncbi.nlm.nih.gov/36306779/), Sorscher B et al, 2023, Neuron
+- [Self-Supervised Learning of Representations for Space Generates Multi-Modular Grid Cells](https://proceedings.neurips.cc/paper_files/paper/2023/hash/4846257e355f6923fc2a1fbe35099e91-Abstract-Conference.html), Schaeffer R et al, 2023, NeurIPS
+- [Episodic and associative memory from spatial scaffolds in the hippocampus](https://pubmed.ncbi.nlm.nih.gov/39814883/), Chandra S et al, 2025, Nature
+
 **General - scientific process**
 
 - https://web.stanford.edu/~fukamit/schwartz-2008.pdf