@prokraustinator how about this one: https://www.nature.com/articles/s41593-022-01132-3
Non invasive stim not just to induce an oscillation but to also induce functional connectivity to improve working memory
It's an actively researched question (e.g., https://www.biorxiv.org/content/10.1101/2021.07.19.452951v2 and recent work from Lea Duncker, Dan O'Connor, Maneesh Sahani, and Krishna Shenoy, I don't think it's out yet.)
Those of us busy inferring latent dynamics from epjhys data hope to see fun bifurcations in what we infer -- but inferred is a long way from hard proof.
Decision-making models have examples (e.g., https://www.science.org/doi/10.1126/science.1104171?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%20%200pubmed and http://dx.doi.org/10.1523/JNEUROSCI.3733-05.2006) but that's models not data.
Dynamics colleagues, what are some of the best examples of something like a "bifurcation" (dynamical systems speak) that we see in experimental brain data?
Anything comes to mind?
#neuroscience
#complexity
@DrYohanJohn
@NicoleCRust
@SussilloDavid
@neuralengine
@sganguli
#ScienceInGraphics: "Two Heads" by the Friths and Daniel Locke, with a cameo appearance by @antoniahamilton. Recommended! https://www.theguardian.com/books/2022/mar/29/two-heads-by-uta-frith-chris-frith-alex-frith-and-daniel-locke-review. #neuroscience #GraphicNovel #ArtInScience #brain
"More problematically, we show that DNNs account for almost no results from psychological research."
This looks like it will provoke some lively debate. 😛
Call for commentary at BBS:
#Neuroscience #MachineLearnng #ML
HT @PessoaBrain
RT @dynamicdip
If you want to find out why temporally complex movements, such as handwriting, may be fundamentally easier to decode than point-to-point movements. Just an amazing piece of work based on intracortical BCI that decodes attempted handwriting movements from neural activity https://twitter.com/leafs_s/status/1598287889086894082
Signatures of electrical stimulation driven network interactions in the human limbic system https://www.biorxiv.org/content/10.1101/2022.11.23.517746v1?med=mas
3,013 neurons, half a million synapses: the complete #connectome of the whole #Drosophila larval brain!
Winding, Pedigo et al. 2022. "The connectome of an insect brain" https://www.biorxiv.org/content/10.1101/2022.11.28.516756v1
We’ve mapped and analysed its circuit architecture, from sensory neurons to brain output neurons, as reconstructed from volume electron microscopy, and here is what we found. 1/
Many studies have shown that humans preferentially remember surprising events. In this preprint, we show that memory is also biased by long-term, multi-state surprise. https://www.biorxiv.org/content/10.1101/2022.11.27.517985v1
So, what is long-term surprise? Here’s our example from the paper: Imagine in late January 2020 you predicted that Bernie Sanders would become the Democratic nominee for US president, which was ~20% likely per 538.
RT @MillerLabMIT
New result!
Ubiquitous cortical signature: Beta stronger in deep layers, gamma in superficial. So robust you can find layer 4 by the crossover point.
https://www.biorxiv.org/content/10.1101/2022.09.30.510398v2
with @alexjamesmajor @BastosLabNeuro @MendozaHalliday
Pls Boost!
New review in Nature Reviews Neuroscience
"From cognitive maps to spatial schemas"
With co-authors:
Delaram Farzanfar, Morris Moscovitch & Shayna Rosenbaum
https://www.nature.com/articles/s41583-022-00655-9
"Better Inference in Neuroscience: Test Less, Estimate More"
is my new paper out in the JNeuro making the case to:
a) use hypothesis testing better, to actually test the *researcher's* hypothesis, and
b) to use estimation for the many, many situations in neuroscience in which a researcher is not yet ready to conduct a strong hypothesis test
Open-access pre-print is here: https://tinyurl.com/testless or get the 'official' version here: https://www.jneurosci.org/content/42/45/8427
⚙️⚙️ My co-first authored paper on the discovery and characterization of a new brain wave (oscillation) called “splines” is open access in Cell Reports!
〰 These oscillations are high-frequency: 130-160 Hz, occurring at the peaks of theta rhythms in the retrosplenial cortex (part of the brain essential for successful navigation). Splines occur during REM sleep and navigation. They become more powerful + more coherent across the hemispheres as a mouse or rat runs faster.
https://www.cell.com/action/showPdf?pii=S2211-1247%2822%2900822-1
Curve fitting - this needs to be shared here :-)
By the great xkcd
https://imgs.xkcd.com/comics/curve_fitting_2x.png
The #COSYNE2023 #abstract #submission #deadline is *today*. Get your work in and come share it with us in Montreal!
Please boost this!!!!
@ThAndrillon I tried something similar with GPT3 and it did the same thing
The #GreatEgret is a dazzling sight dressed all in white and set against the colourful red and gold background as it flies past a fall forest. A tall, stately white wader of quiet waters it takes flight when disturbed. See at Wilson's Flats, #Ontario at #GrandRiver!
#GreatWhiteEgret #waterbird #bird #animal #nature #birdlover #naturelover #BuyIntoArt #fall #autumn #fallfoliage #autumnfoliage #wildlife #birdphotography #wallart #homedecor #GiftThemArt
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Hey #neuroscience #neurotech #neurodon
I'm very excited about a truly distributed community for #neuroscience.
Let's make it easier for new folks (and #twitterexodus #twittermigration) folks to plug into the #neurodon community!
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PostDoc At Boston University. Sleep | Rhythms | Networks | Photography | K'taka ಪ್ರೇಮಿ www.anirudhwodeyar.com