🗺️🐀 How does the #brain map uneven terrain? New paper by @rmgrieves, @elduvelle_neuro & Taube suggests that the #hippocampal map is shaped by terrain #geometry itself, not only by where the animal runs. Slopes, ridges & surface contours may act as spatial structure for #PlaceCells. Read more about in the 🧵👇

📄 https://doi.org/10.1126/sciadv.adz9893
"Hippocampal #PlaceCells map terrain geometry independently of #behavior"

#Hippocampus #SpatialNavigation #Neuroscience https://fediscience.org/@rmgrieves/116692850991318267

New paper by Maimon et al (Ulanovsky lab): recordings from #bats flying through tunnels up to 200 m reveal a sparse-to-dense transformation between #hippocampal #CA3 and #CA1.

In small environments, CA3 and CA1 #PlaceCells look similar. At large spatial scales, however, CA3 #neurons mostly show single, ultrasparse #PlaceFields, while CA1 neurons show dense multifield coding.

🌍 https://doi.org/10.1038/s41586-026-10537-0

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#Neuroscience #Hippocampus #SpatialNavigation #NeuralDynamics

🧠 New paper by Aidan J. Horner (2025, Trends in Cognitive Sciences) introduces a 3D neural #StateSpace for #episodic memories. It replaces linear #SystemsConsolidation models with a dynamic framework where #hippocampal, #neocortical, and episodic specificity dimensions evolve independently and non-linearly, allowing memories to shift, reverse, or re-engage hippocampal circuits.

🌍 https://www.cell.com/trends/cognitive-sciences/fulltext/S1364-6613(25)00284-0

#Neuroscience #CognitiveScience #Hippocampus #CogSci #compneuro #memory

🧠 New paper by Pedamonti et al. (2025, Nature Comm.) shows that the #hippocampus supports multi-task #ReinforcementLearning under partial observability. Mice flexibly inferred hidden task states 🐁, and only models with recurrent memory reproduced behavior, linking #hippocampal dynamics to #POMDP (Partially Observable Multi-Task Reinforcement Learning) inference.

🌍 https://doi.org/10.1038/s41467-025-64591-9

#Neuroscience #CompNeuro

📚 New article by Esparza et al. and @LMPrida : Cell-type-specific #manifold analysis discloses independent parallel #SpatialMaps in #hippocampal #CA1. Using #miniscope imaging, they show deep and superficial CA1 #PyramidalNeurons encode position and running direction via distinct ring manifolds, manipulable via #chemogenetics. Fascinating for revealing parallel, cell-type–specific spatial topologies 👌

🌍 https://doi.org/10.1016/j.neuron.2025.01.022

#Neuroscience #CompNeuro

📖 Vaidya et al. investigate how #hippocampal #CA1 #PlaceCells form expanding #memory representations over days. Using longitudinal in vivo recordings, they show that stable #PlaceFields progressively emerge as active cells increase their likelihood of remaining active across sessions. This gradual stabilization hinges on #behavioral‑timescale #SynapticPlasticity, offering a new model of how CA1 memories solidify w/o #CatastrophicOverwriting.

🌍 https://www.nature.com/articles/s41593-025-01986-3

#Hippocampus #Neuroscience

This paper by Raju et al. proposes a unified model – “clone‑structured causal #graphs” (#CSCG) – for #hippocampal #SpatialCoding. It suggests that #SpatialMaps arise from #learning #latent higher‑order sequences rather than representing #EuclideanSpace directly. The model elegantly explains phenomena like #PlaceFields, #SplitterCells, #contextual #remapping, and predicts when #PlaceFieldMapping may mislead.

🌍 https://www.science.org/doi/10.1126/sciadv.adm8470

#Hippocampus #CognitiveMaps #SequenceLearning #Neuroscience