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El Duvelle Neuro<a href="https://neuromatch.social/tags/PlaceCells" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PlaceCells</a> often have elongated place fields next to an environment's boundaries. Is there any paper where this phenomenon is directly predicted by the <a href="https://neuromatch.social/tags/SuccessorRepresentation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SuccessorRepresentation</a> model of place cells? <a href="https://neuromatch.social/tags/SpatialCognition" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SpatialCognition</a> <a href="https://neuromatch.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Neuroscience</a> <a href="https://neuromatch.social/tags/Hippocampus" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Hippocampus</a>

El Duvelle Neuro<a href="https://neuromatch.social/tags/NeuroESC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NeuroESC</a> <a href="https://neuromatch.social/tags/JournalClub" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#JournalClub</a> Reading <a href="https://www.biorxiv.org/content/10.1101/2025.02.03.636313v1.full" rel="nofollow noopener noreferrer" target="_blank">Mental exploration of future choices during immobility theta oscillations</a>If you've read it, will you let me know what you think?The authors look at <a href="https://neuromatch.social/tags/ThetaSequences" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ThetaSequences</a> in a working memory task in a radial arm maze. They find theta during immobility (makes sense, e.g. we saw that in our <a href="https://elduvelle.github.io/ElDuvelle/status/1385701872376455172/" rel="nofollow noopener noreferrer" target="_blank">two-goals task</a>). They also find that theta sequences might preferentially represent the next goal (also makes sense, e.g. <a href="https://www.nature.com/articles/nn.3909" rel="nofollow noopener noreferrer" target="_blank">Hippocampal theta sequences reflect current goals</a>)! I have only done a quick reading so far, but am confused by a few points:<ul><li>the decoding is done on all cells (pyramidals and interneurons), shouldn't it be done on pyramidal or <a href="https://neuromatch.social/tags/PlaceCells" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PlaceCells</a> only?</li><li>the cell counts are quite low (often less than 40 pyrs) when I would have thought at least 50 place cells would be needed for this kind of maze. I guess that shows that <a href="https://neuromatch.social/tags/Neuropixels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Neuropixels</a> are not the best to record from dCA1!</li><li>the decoded algorithm itself includes a ' position transition matrix' which seems like it would bias decoding towards realistic trajectories that the rat is about to do??? (but I probably missed something)</li><li>also, this study is very related to this other paper, which is not discussed or even cited (😕 ): <a href="https://www.cell.com/neuron/fulltext/S0896-6273(18)31006-7" rel="nofollow noopener noreferrer" target="_blank">Assembly Responses of Hippocampal CA1 Place Cells Predict Learned Behavior in Goal-Directed Spatial Tasks on the Radial Eight-Arm Maze</a> <a href="https://neuromatch.social/tags/CsisvariLab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CsisvariLab</a></li></ul>Let me know what you think!<a href="https://neuromatch.social/tags/LeutgebLab" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LeutgebLab</a> <a href="https://neuromatch.social/tags/NeuroRat" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NeuroRat</a> <a href="https://neuromatch.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Neuroscience</a> <a href="https://neuromatch.social/tags/SpatialCognition" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SpatialCognition</a>

El Duvelle NeuroI have presented this poster on <a href="https://neuromatch.social/tags/HippocampalReplay" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#HippocampalReplay</a> at <a href="https://neuromatch.social/tags/SFN23" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SFN23</a> !I'm also uploading the poster as an image here, and it's on the SFN website: <a href="https://cattendee.abstractsonline.com/meeting/10892/presentation/33535" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://cattendee.abstractsonline.com/meeting/10892/presentation/33535</a> Little summary below:Our goal was to investigate if replay of hippocampal <a href="https://neuromatch.social/tags/PlaceCells" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PlaceCells</a> was indeed reflecting immediate <a href="https://neuromatch.social/tags/SpatialPlanning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SpatialPlanning</a>.The existing literature is a little unclear: some studies find 'planning replay' and some do not. Most of the time, planning is not dissociated from reward consumption in these studies as they can generally be simplified to an alternation between two rewarded locations. In our case, we separate the location of planning from the location of reward and focus on replay happening at the planning time.At the location of planning, we find that:1) there is actually almost no replay at the time of planning 2) the rare 'start replay' events do NOT over-represent the future trajectory, or even the goal 3) the rare 'start replay' events do not differ for successful vs unsuccessful planning.At the goal location, we find that:4) Many replays occur at the goal, even before the reward delivery! 5) 'goal replays' strongly over-represent the goal (either before or after reward delivery) 6) 'goal replays' do not over-represent the current trajectory compared to the alternative trajectory, or even the optimal path if the less-optimal path was taken 7) 'goal replays' were strongly affected by errors and were quasi-absent during error trials (choosing an unrewarded end box)In conclusion: Reward (received or expected), but not planning, drives hippocampal replay!Let me know if you have any questions after looking at the poster :DEdit: updated because this is in the past now (but hoping to publish it soon!)

El Duvelle Neuro<a href="https://neuromatch.social/tags/Introduction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Introduction</a> of my <a href="https://neuromatch.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Neuroscience</a>-oriented account! 🧠I am a postdoctoral researcher investigating <a href="https://neuromatch.social/tags/NeuroRats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NeuroRats</a> 🐀 doing flexible <a href="https://neuromatch.social/tags/Navigation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Navigation</a> 🗺️ and how their <a href="https://neuromatch.social/tags/Hippocampus" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Hippocampus</a> might support this fascinating ability. Is it <a href="https://neuromatch.social/tags/PlaceCells" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PlaceCells</a>? Is it <a href="https://neuromatch.social/tags/HippocampalReplay" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#HippocampalReplay</a>? Is it <a href="https://neuromatch.social/tags/SplitterCells" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SplitterCells</a>? 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!

El DuvelleHi all 😃 Our latest <a href="https://neuromatch.social/tags/Review" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Review</a> on <a href="https://neuromatch.social/tags/SplitterCells" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SplitterCells</a> is now published in <a href="https://fediscience.org/@eLife" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@eLife</a> !! I will probably write a real thread on it when I get a chance... for now:link: <a href="https://elifesciences.org/articles/82357" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://elifesciences.org/articles/82357</a>why: some neurons in the <a href="https://neuromatch.social/tags/Hippocampus" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Hippocampus</a> (and other brain regions) of <a href="https://neuromatch.social/tags/Rats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Rats</a> (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 <a href="https://neuromatch.social/tags/EpisodicMemory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#EpisodicMemory</a> or <a href="https://neuromatch.social/tags/DecisionMaking" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DecisionMaking</a> 🤔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. <a href="https://neuromatch.social/tags/TimeCells" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TimeCells</a> cells can be splitter cells (but they're usually <a href="https://neuromatch.social/tags/PlaceCells" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PlaceCells</a>). Splitter cells evolve with experience, or maybe it is performance, nobody really knows. ⁉️ ... and a lot more weird stuffconclusion: 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!! ✍️<a href="https://neuromatch.social/tags/Neuroscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Neuroscience</a> <a href="https://neuromatch.social/tags/Cognition" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Cognition</a> <a href="https://neuromatch.social/tags/NeuroPaper" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NeuroPaper</a>

El Duvelle<a href="https://neuromatch.social/tags/Introduction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Introduction</a> Hi all, I'm a spatial cognition postdoctoral researcher and will post about rats (like these), <a href="https://neuromatch.social/tags/PlaceCells" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PlaceCells</a> (yes it's a new hashtag) and other cool things that the <a href="https://neuromatch.social/tags/Hippocampus" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Hippocampus</a> does, as well as random stuff. If I have bad habits from "that other site", please help me correct them, and as a Mastodon newbie, do send me your tips or tutorials!PS: do rats need content warning?

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