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It's taken 22 years, but public transport and archaeology meet in Thessaloniki this weekend with the opening of its new metro system, which will reduce traffic congestion by as many as 60,000 vehicles.
There are 13 'archaeostations' where ancient finds are displayed or are part of the infrastructure.

#Transport #Archaeology #Thessaloniki #Greece #PublicTransit

theguardian.com/world/2024/nov

Persistence of spike protein at the skull-meninges-brain axis may contribute to the neurological sequelae of COVID-19

Some unrest and abuse about this paper- Parts of the pre-print have been abused previously. What does it show?

cell.com/cell-host-microbe/ful
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@Hickl I wonder to what extent such tools can be used to track the stagnation of a scientific field...

Predicting the results of experiments is challenging, especially in fields like neuroscience. This recent study shows that fine-tuned LLMs, like BrainGPT, can predict neuroscience results more accurately than human experts on benchmarks. 🧪

nature.com/articles/s41562-024

Boost this toot if you're planning on sticking around Mastodon & the Fediverse whether or not it's more popular than Bluesky.

Very useful resources, I definitely have some reading to do...

No video at hand right now, but I'll compile one eventually as a visual sanity check for our method of separating high- from low-velocity head turns.

The main change since the preprint is that we introduced Fourier-based quantification of information and redundancy (thanks to the anonymous reviewer for pushing us in this direction).

Preprint here: biorxiv.org/content/10.1101/20

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The "high-correlation-mode" within or between types of ganglion cells we examined probably reflects the computation of a visual feature related to fine spatial contrast in natural scenes.

How these robust spatial-contrast signals are used by cortical or subcortical areas is an open question. Pure speculation here, but "coarse-to-fine" processing during fixations may require nonlinear and fast parasol cell responses that predict the upcoming (higher-spatial-frequency) midget cell responses.

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The latest piece of my PhD work is now published! Check it out at nature.com/articles/s41586-024

We explain how correlated responses in the retinal output may arise when nonlinear receptive fields are stimulated with natural scenes. We think that these concerted responses violate the decorrelation prediction of efficient coding in a cell-type-specific manner in both marmosets and mice.

Thanks for the writeup @elduvelle_neuro and @jessetm for the great work!

I did not read the paper in depth for a journal club, but I was completely unaware of the VTE literature and I find it fascinating.

I think we are observing similar phenomena in freely moving mice performing perceptual decision-making tasks. Some mice have inherent biases towards turning to a particular side. When a stimulus is presented that indicates the opposite side is correct, they may start turning towards their favorite side, and quickly "overwrite" the initial decision by making a strong head turn to the correct side.

We think that this head-turning signal indicates stimulus detection by the mice, and we can use it to decode trial outcome quite decently. I was very intrigued to see the same in the rat data of @jessetm

my (personal) summary and then comments for this #JournalClub

any corrections, comments, additional questions are welcome, especially from the first author @jessetm

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The main goal of this paper is to test if #VTEs (Vicarious Trial-and Error) and medial prefrontal cortex LFP relate to navigation behaviour parameters such as behavioural flexibility, performance and strategy use, during allocentric* navigation.

VTEs are a behaviour that rodents and humans do at choice points, looking alternatively at the different available options before choosing one (check video below). They have been studied mostly during response-based tasks (when the subjects have to learn a body-oriented response or sequence of responses to the reward). From that research, two possible roles for VTEs have been suggested: deliberation (weighing down the available options) or uncertainty (hesitation).

The current paper aims to test which is the most likely role of these two, by having a task involving a lot of deliberation and a lot of uncertainty (protocol explained below).
The main conclusion is that these two VTE types actually exist, which means VTEs should not just be interpreted as a marker of behavioural flexibility or deliberation. There is are also some interesting findings about different LFP rhythms in the medial prefrontal cortex being stronger during different types of behaviours (explained below).
(*) (allocentric = based on an external reference frame, like the Water maze task)

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cc: @Andrewpapale, @drdrowland, feel free to add your comments /questions anywhere you want!

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Huge congrats to @karyna-mi.bsky.social (shes not on here) for her paper published today in Science! She found that the hippocampus is really important for a key strategy we use to make decisions called hidden state inference! 🧪 🧠 1/7 science.org/doi/10.1126/scienc #neuroscience

@computingnature @marius10p

Great review! I think the statistical pitfalls section would deserve to become a full article itself

What does #neuroscience tell us about AI, and vice versa?

In this new PNAS paper, we find that real neurons' activation functions (f-I curves) share features with freq-used AI activation functions.

We measure many neurons w/ 2p holographic stim.

Work led by Paul LaFosse... 1/3 🧠📈 🧪

New programme by Dutch Research Council NWO: academic journals that wish to 'flip' from a subscription model to diamond open access (no fees for readers - no fees for authors) can apply for funding to transition: nwo.nl/en/news/funding-for-fli
#OpenAccessWeek

2/ More recent patch recording from Large Bistratified GCs show a consistent ON-OFF response to the L+M stimulus, quite distinct from that of the small BS GCs. These results also suggest that the input from L and M cone circuitry to the LBGCs might be distinct (Kim, Packer & Dacey, 2024). How?
pnas.org/doi/10.1073/pnas.2405

📢 #Rastermap paper out now, easily explore and visualize your neural recordings 🐭🐒🐟 and ANNs 🤖 nature.com/articles/s41593-024. Updates from preprint include analyses of primate data and IBL task data.

Video tutorial: youtu.be/oQHq7yUWn2k #Neuroscience #MachineLearning

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