Laureline Logiaco @LaurelineLogiaco@qoto.org
Theoretical neuroscientist trying to connect with other scientists, listen and learn.
Joined Nov 2022
The recording of this VVTNS talk is now up on youtube: https://www.youtube.com/watch?v=bb6i6gLRdlg. I was lucky to be afforded 50 min to present our results about how the brain architecture can support flexible, efficient & robust internally-driven motor control. A big thank you to the organizers of wwtns.online, David Hansel and Ran Darshan!
For those who may be interested, I'm lucky & honored to talk at the Van Vreeswijk Theoretical Neuroscience Seminar
tomorrow 11/01 at 11 AM EST. Instructions to join: https://wwtns.online. Thanks to the longer format, I'll be able to dive deeper into the topic. I'm looking forward to the discussion!
Laureline Logiaco
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Hi all ๐โ
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 ๐คโThey are called 'trajectory-dependent cells' or Splitter Cells. ๐โ 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. โโ๏ธโ ... 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 ๐โ
now what: questions or comments? Please let us know!! โ๏ธโ
Laureline Logiaco
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Delighted to write a preview w/@sainsbury_tom in Cell about the latest cool finding from Yang, Kanodia & Silvia Arber about the cortical control of brain stem during forelimb behaviors https://authors.elsevier.com/a/1gNBfL7PXiqy8
Laureline Logiaco
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What happens when you give Recurrent Neural Networks brain-inspired constraints of 3D spatial structure & neural communication during learning?
๐ง ๐๐ค
In our new project we show typical structural & functional #neuroscience motifs like modularity, small-worldness, functional clusters, mixed selectivity & efficiency emerge in these spatially-embedded RNNs
#Preprint
https://www.biorxiv.org/content/10.1101/2022.11.17.516914v1
Laureline Logiaco
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๐จ Our story on a AI-inspired model of cerebro-cerebellar networks is now out in @NatureComms with a few (useful) updates after peer review:
https://doi.org/10.1038/s41467-022-35658-8
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RT @somnirons
New preprint by @boven_ellen @JoePemberton9 with Paul Chadderton and Richard Apps @BristolNeuroscience! Inspired by DL algorithms @maxjaderberg @DeepMind we propose that the cerebellum provides the cerebrum with task-specific feedback predโฆ
https://twitter.com/somnirons/status/1493881849055227906
@elduvelle @tiago @networkscience @academicchatter It's a good point that the disruption index (DI) chosen in Park et al is not perfect - though it does correlate with human-labeled novelty, see https://direct.mit.edu/qss/article/1/3/1242/96102/Are-disruption-index-indicators-convergently-valid . A positive DI in Park et al requires citations of the focal paper but none or few of its refs. This is indeed harder to do with larger citation lists, in particular if people cite older works not necessarily because they are still the canon but possibly for discussion. That said, I think that there are measures beyond the DI that also argue for an increased difficulty to produce and get recognition for 'disruptive' work - both in the Park et al paper (Cf. their fig. 6 about the diversity of scientific knowledge used; or fig.3 about the vocabulary of papers) and elsewhere. For instance, Chu and Evans (https://www.pnas.org/doi/10.1073/pnas.2021636118) focused on the Gini coefficient of citations, the duration of dominance of papers, or the probability of a paper to gradually become very cited. In the context of comparing the success of innovative papers among different types of researchers, Hofstra et al. used ML to quantify the presence of new conceptual linkage within papers (https://www.pnas.org/doi/10.1073/pnas.1915378117), and showed that the categories of people who recently started to join academia (under-represented minorities) produced more 'innovative' works that had a hard time getting cited. I think that this converging evidence from many different measures and analyses methods suggests the merit of the underlying hypothesis that disruptive/novel contributions have a hard time being seen and valued, perhaps more today than in the past for an ensemble of reasons. Even if the effect size is probably much smaller than suggested by the DI in Park et al ;-).
Laureline Logiaco
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๐ง ๐๐๐ฆ๐ฆ๐ฆ๐ท๐ปโโ๏ธ๐ฆซ๐ฆ๐๐๐๐ฆ๐๐ฆ๐ฆญ๐ฆฅ๐ฆ
Weโve been diving into the mesmerising anatomical diversity and evolution of cerebellar folding across 56 mammalian species with @r3rt0 Nicolas Traut @AleAliSousa @sofievalk
https://www.biorxiv.org/content/10.1101/2022.12.30.522292v1
Check it out in a short tooting thread ๐ฝ
Laureline Logiaco
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2022 saw a whirlwind of #neuroAI research. Brain Dall-E. Neurons in a dish playing pong. GPT predicts how brains process language. I read through a bunch of papers so you don't have to. Read my review of 2022. Featuring the work of @kordinglab , @tyrell_turing , @TimKietzmann and many others.
https://xcorr.net/2023/01/01/2022-in-review-neuroai-comes-of-age/
@elduvelle Thank you 
! Seeing you there has really helped me to decide to engage! Always looking forward to hearing from you from all possible communication channels ;-)
Laureline Logiaco
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Is there yet a mastodon alternative for #tweeprint?
Anyway, here goes a #mastoprint ๐ชฉ
"Evaluating the statistical similarity of neural network activity and connectivity via eigenvector angles"
https://doi.org/10.1016/j.biosystems.2022.104813
#NeuralNetworks #Neuroscience #Statistics #CompNeuro
I'm very excited to finally see this published. Let me tell you about it:
๐งต 1/5
#Introduction
Hi all, I'm finally introducing myself in this new year of 2023! I am a postdoctoral researcher doing #neuroscience, often with a theoretical angle. My own work tends to focus on neural network dynamics, network architecture and (pre)motor control, but my interests are broad and I am trying to use Mastodon to broaden them even more! I also have a special interest in sociology, especially the sociology of #academia. I'm looking forward to learning from the other users, and to communicating about my own research!
Laureline Logiaco
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No wonder I always feel like the end gets further away the more I walk towards it. ๐ค
Hippocampal spatial representations exhibit a hyperbolic geometry that expands with experience https://www.nature.com/articles/s41593-022-01212-4
Laureline Logiaco
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#Introduction
Hi all, I'm a spatial cognition postdoctoral researcher and will post about rats (like these), #PlaceCells (yes it's a new hashtag) and other cool things that the #Hippocampus 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?
Laureline Logiaco
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Academics in psychology, neuroscience, cognitive science, etc.: I've created a repository for our accounts to help people find and bulk-follow each other on mastodon:
https://kaitclark.github.io/mastodon-psychology/
Please let me know if you want to be added!
(based on the repository by https://social.tchncs.de/@perspektivbrocken in Sociology)
Laureline Logiaco
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An examination of over 1 million funding proposals to the National Science Foundation from 1996 to 2019 reveals that white principal investigators are consistently funded at higher rates than most non-white PIs and relative funding rates for white PIs have been increasing. https://elifesciences.org/articles/83071?utm_source=mastodon&utm_medium=social&utm_campaign=organic_features
Laureline Logiaco
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Now that #COSYNE2023 abstracts are in I want to announce a #CIFAR workshop on #cognition, #AI and #consciousness that will take place *the day before COSYNE* (March 8) here at #Mila.
https://consiousnessworkshop2023.mila.quebec/
We have a great line-up and registration is *free*!
Please boost!!!!!
Theoretical neuroscientist trying to connect with other scientists, listen and learn.
Joined Nov 2022
