How are events segmented and organized in time? And how might this impact our perception and memory?
Check out our work here on how neural trajectories in the lateral entorhinal cortex inherently drift over time, but abruptly shift at event boundaries to discretize a continuous experience.
https://www.biorxiv.org/content/10.1101/2024.06.17.599402v1
https://x.com/EdvardMoser/status/1802967173196808557
#Events #Time #Timing #Memory #Dynamics #Experience #Circuits #EntorhinalCortex #Hippocampus #AnimalBehavior #Preprint
The scientists found that the super-agers had more volume in areas of the brain important for memory, most notably the #hippocampus and #entorhinalcortex.
https://www.nytimes.com/2024/04/29/well/mind/super-agers-study.html
@brembs Me 🙋♂️
Posters about: #time #eventstructure #events #memory #dynamics #entorhinalcortex #hippocampus #gridcells #placecells #remapping #Neuropixels
#generic #mutations could guide development of new #Alzheimers meds
#medicine #research #entorhinalCortex #TauTangles #TauBuildup #reelin
In case this is useful for anyone out here - new tools for Bayesian analysis of grid cell activity (with the benefits of efficiently evaluating covariates and avoiding binning): https://arxiv.org/abs/2303.17217
Questions about information encoded by the brain demand statistical frameworks for inferring relationships between neural firing and features of the world. The landmark discovery of grid cells demonstrates that neurons can represent spatial information through regularly repeating firing fields. However, the influence of covariates may be masked in current statistical models of grid cell activity, which by employing approaches such as discretizing, aggregating and smoothing, are computationally inefficient and do not account for the continuous nature of the physical world. These limitations motivated us to develop likelihood-based procedures for modelling and estimating the firing activity of grid cells conditionally on biologically relevant covariates. Our approach models firing activity using Poisson point processes with latent Gaussian effects, which accommodate persistent inhomogeneous spatial-directional patterns and overdispersion. Inference is performed in a fully Bayesian manner, which allows us to quantify uncertainty. Applying these methods to experimental data, we provide evidence for temporal and local head direction effects on grid firing. Our approaches offer a novel and principled framework for analysis of neural representations of space.
@nadel Another amazing episode! So clearly written and interesting. Thank you so much again for sharing.
Adding some hashtags to help this gem being discovered:
#HippocampusGurus #HippocampusHistory #hippocampus #PlaceCells #EntorhinalCortex #GridCells
Check this new #Preprint in #Chickadees:
“An entorhinal-like region in food-caching birds”
https://www.biorxiv.org/content/10.1101/2023.01.05.522940v1
“We found a well-delineated structure in these birds that is topologically similar to the entorhinal cortex and interfaces between the hippocampus and other pallial regions. Recordings of this structure revealed entorhinal-like activity, including border and multi-field grid-like cells.”
(I didn’t see any grid-like cells but it looks very interesting nonetheless!!)
PLOS Biology
Ben Kanter
Stafford Gregoire
Road Not Taken
El Duvelle
Hussaini Lab