🧠 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

I find this article by Ferro just out in nature communication https://rdcu.be/dOzT2 is an interesting intersection between value-based decision-making, embodied cognition/active vision, and memory #reactivation or #reinstatement. Looking is doing some heavy lifting. And lookie there, I didn't even mention the #orbitofrontalcortex recordings they did!

It caught my eye (sorry) b/c some of the scanpath analysis our lab's done in the past suggests that prior to looking at a remembered, rewarded visual target, there's an uptick in #hippocampal #ripples (Leonard et al., Current Biol 2017), which are thought to signal the underlying reactivation of task-relevant activity patterns. And of course, there's work by a number of groups on memory guidance to rewarding/goal targets, that rely on hippocampal function. Ours based on an MTL amnesic: Yoo, et al., (2020). Long-term memory and hippocampal function support predictive gaze control during goal-directed search. Journal of Vision, https://doi.org/10.1167/jov.20.5.10 following from Chau et al., 2011, and the changes in scanpaths and pupil responses of aging adults and people with Alzheimer's disease, too: Dragan, M. C.,et al., (2017). Behavioural Brain Research, https://doi.org/10.1016/j.bbr.2016.09.014

Where we choose to look says so much: see e.g. Kragel/Voss; Castelhano/Henderson, Wynn/Buchsbaum/Olsen/Ryan esp what Jordana Wynn followed up with on the scanpath reinstatements suggests a really intertwined relationship between memory, eye movements, and learning/decisions about goals. (forgive that I'm missing many others and pls add below!)

TL;DR The foraging decision-making folks and the memory-guided vision folks need to be increasingly up in each other's business.

Here's that Ferro link:
https://rdcu.be/dOzT2

@cogneurophys

They found that each rat #Hippocampal synapse can store between 4.1 and 4.6 bits of #information.

This means the #HumanBrain may be capable of holding at least a #petabyte of information, equivalent to the data contained on the entire #Internet

Human brain can hold 10 times more information than previously thought, scientists say
https://www.msn.com/en-gb/health/other/human-brain-can-hold-10-times-more-information-than-previously-thought-scientists-say/ar-BB1nO76H?ocid=emmx-mmx-feeds&PC=EMMX01