🧠 New preprint by Lee et al.: Fast dendritic excitations primarily mediate #backpropagation in #CA1 pyramidal #neurons during #behavior

Using kHz #VoltageImaging across the full #dendritic tree, they show that fast dendritic spikes are usually driven by somatic #bAPs, not independently initiated. #bAP propagation into apical dendrites is contin. modulated by pre-spike dendritic voltage & can trigger slower plateau potentials linked to complex spikes.

🌍https://doi.org/10.64898/2026.01.03.696606

#NeuralDynamics

📚 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

📚 New article by Lopes-dos-Santos, Brizee & Dupret: Spatio-temporal organization of network activity patterns in the #hippocampus. They use a low-dimensional embedding of #CA1–#DG #LFP in behaving mice to reveal layer-specific #GammaRhythms and distinct firing motifs aligned with hippocampal microcircuit architecture – offering a data-driven view of how #oscillations coordinate #InformationFlow across hippocampal layers.

🌍 https://doi.org/10.1016/j.celrep.2025.115808

#Neuroscience #GammaOscillations #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

An article "A Hippocampal Cognitive Prosthesis: Multi-Input, Multi-Output Nonlinear Modeling and VLSI Implementation" by Theodore W. Berger, et al.
(https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3395724/) tells about a brain implant with 16 analog-to-digital converters and 32 channels of output.

I've been discussing it with Prozion (https://github.com/prozion) before and he has a very good question.
"How does the implant function at all with that amount of channels?"

The previous explanation from "Computational Cognitive Neuroscience" about memory de-indexing sheds some light on that: the article is about the same brain regions: CA1, CA3 and DG.

#neuroscience #CA1 #CA3 #Hippocampus