#splittercells — Public Fediverse posts

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

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

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

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

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

@zotero of course sometimes there may be a few problems.. like here 😅
(The most obvious problem being that our recent review on #SplitterCells is not cited!!!)

(Source: Raju et al., 2024 #GeorgeLab)

@aheadofthenerve I don’t think that exists in a spontaneous (& consistent strategy) version! That’s not what the rats do…

Otherwise when the strategy is forced, there are several papers, for example place vs cued in a T-maze like: Memory Modulates Journey-Dependent Coding in the Rat Hippocampus

(See our review on #SplitterCells to find some more)

An entire paper on potential #SplitterCells in #RetrosplenialCortex - without ever mentioning the concept of splitter cells or the related literature 🙃
#SmithLab

From: @biorxiv_neursci
https://biologists.social/@biorxiv_neursci/112664236023259257

A little summary of #Neuroscience-related hashtags?
(Please add any you think of in answer and I’ll edit the list)

.#NeuroArt
.#Neuroscientist / #Neuroscientists
.#NeuroRat (yep, I’m pretty much the only one using this one)

.#NeuroJobs

The cell types:
.#PlaceCells / #GridCells / #HeadDirectionCells / #SplitterCells … (give me more)

And then we have the brain regions:

.#Hippocampus / #Striatum / #RetrosplenialCortex / #Cortex / #Cerebellum / …

Bonus:
.# NeuroBuzz: once a post takes off, anyone can add it as an answer and then the author can edit it in the original post (but don’t add it when writing the original post, that’s cheating)

A little summary of #Neuroscience-related hashtags?
(Please add any you think of in answer and I’ll edit the list)

.#NeuroArt
.#Neuroscientist / #Neuroscientists
.#NeuroRat (yep, I’m pretty much the only one using this one)

.#NeuroJobs

The cell types:
.#PlaceCells / #GridCells / #HeadDirectionCells / #SplitterCells … (give me more)

And then we have the brain regions:

.#Hippocampus / #Striatum / #RetrosplenialCortex / #Cortex / #Cerebellum / …

Bonus:
.# NeuroBuzz: once a post takes off, anyone can add it as an answer and then the author can edit it in the original post (but don’t add it when writing the original post, that’s cheating)

A little summary of #Neuroscience-related hashtags?
(Please add any you think of in answer and I’ll edit the list)

.#NeuroArt
.#Neuroscientist / #Neuroscientists
.#NeuroRat (yep, I’m pretty much the only one using this one)

.#NeuroJobs

The cell types:
.#PlaceCells / #GridCells / #HeadDirectionCells / #SplitterCells … (give me more)

And then we have the brain regions:

.#Hippocampus / #Striatum / #RetrosplenialCortex / #Cortex / #Cerebellum / …

Bonus:
.# NeuroBuzz: once a post takes off, anyone can add it as an answer and then the author can edit it in the original post (but don’t add it when writing the original post, that’s cheating)

A little summary of #Neuroscience-related hashtags?
(Please add any you think of in answer and I’ll edit the list)

.#NeuroArt
.#Neuroscientist / #Neuroscientists
.#NeuroRat (yep, I’m pretty much the only one using this one).

.#NeuroJobs

The cell types:
.#PlaceCells / #GridCells / #HeadDirectionCells / #SplitterCells .

And then we have the brain regions:
.#Hippocampus / #Striatum / #RetrosplenialCortex / #Cortex / #Cerebellum / …

Bonus:

NeuroBuzz: once a post takes of, anyone can add it (but don’t add it in the original post, that’s cheating)

(Edit: trying to ensure that my IceCube app formats this post properly)

A little summary of #Neuroscience-related hashtags?
(Please add any you think of in answer and I’ll edit the list)

.#NeuroArt
.#Neuroscientist / #Neuroscientists
.#NeuroRat (yep, I’m pretty much the only one using this one)

.#NeuroJobs

The cell types:
.#PlaceCells / #GridCells / #HeadDirectionCells / #SplitterCells … (give me more)

And then we have the brain regions:

.#Hippocampus / #Striatum / #RetrosplenialCortex / #Cortex / #Cerebellum / …

Bonus:
.# NeuroBuzz: once a post takes off, anyone can add it as an answer and then the author can edit it in the original post (but don’t add it when writing the original post, that’s cheating)

Hi all 😃​
Our latest #Review on #SplitterCells is now published in @eLife !!
I will probably write a real thread on it when I get a chance... for now:

link: https://elifesciences.org/articles/82357

why: some neurons in the #Hippocampus (and other brain regions) of #Rats (and other mammals) have the fascinating ability to discriminate not just different presents, but different past or future states or trajectories in the same current situation. They could be related to #EpisodicMemory or #DecisionMaking 🤔​They are called 'trajectory-dependent cells' or Splitter Cells. 🔀​ We tried to make sense of them!

what: Hippocampal Splitter cells do a lot of puzzling stuff. For example there's a lot of them even in tasks that do not require the Hippocampus to be solved. They spread asymmetrically on a linear track leading to a choice point - 'past' splitters around the start and 'future' splitters towards the choice point. #TimeCells cells can be splitter cells (but they're usually #PlaceCells). Splitter cells evolve with experience, or maybe it is performance, nobody really knows. ​⁉️​ ... and a lot more weird stuff

conclusion: Two different computational models, the temporal context model and the latent state model, each explain a subset of the properties of splitter cells... so perhaps the Hippocampus implements both! But more experiments are needed to disentangle them 😄​

now what: questions or comments? Please let us know!! ✍️​

#Neuroscience #Cognition #NeuroPaper

@macaskillaf This looks really cool! Were dorsal or intermediary #hippocampus not needed for the task? Dorsal hippocampus also has #SplitterCells for (potentially) latent state - but are you saying they originate from, or maybe reflect the activity of, ventral hippocampus?

(I can also go and read the paper)

Our latest review on #SplitterCells has been cited in the first intro sentence of this new paper from the #BuzsakiLab :
Working memory features are embedded in hippocampal place fields

my work here is done! 😮🙇

#Introduction of my #Neuroscience-oriented account! 🧠​

I am a postdoctoral researcher investigating #NeuroRats 🐀​ doing flexible #Navigation 🗺️​ and how their #Hippocampus might support this fascinating ability.
Is it #PlaceCells?
Is it #HippocampalReplay?
​Is it #SplitterCells?
Is it everything, everywhere (... yes, yes, all at once)?

This account will post, boost and follow specifically neuroscience content, don't hesitate to tag it when relevant.

Followers, please tell us about yourself under my pinned tweet!

4- More recently: thread on our review of #SplitterCells (a subset of #PlaceCells) where we try to summarize and make sense of many studies, asking if they might support decision-making, or which type of #ComputationalModel might support their firing:
https://elduvelle.github.io/ElDuvelle/status/1556036545223745538/

The associated paper:
Temporal context and latent state inference in the hippocampal splitter signal

It seems like a combination of two types of models - Latent State models and Temporal Context models - might best suit the hippocampal Splitter Signal.. but (IMO) it doesn't look like Splitter cells are really doing anything for actual, immediate decision-making.

4/x

@bwyble @marcwhoward Oh, he has papers / theories on replay?? I only know of the #SplitterCells aspects! I definitely want to know more

Woot-woot! Our review on #SplitterCells has been cited for the first time! Twice! 🥳​🍾​

Our review: Temporal context and latent state inference in the hippocampal splitter signal

Cited by:

• Kang & Toyoizumi, 2023
• Howard et al., 2023
  @marcwhoward thank you! ❤️​ Looking forward to reading your paper. We now have an eLife version (see above) that you could cite instead of the arXiv version, if you wanted!