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Micah G. Allen

@micahgallen.com
13K followers 3.8K following 5.4K posts

Professor of Computational Neuroscience and Psychiatry, Aarhus University. PI @ the Embodied Computation Group. We study perception, interoception, & metacogniton. www.the-ecg.org

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Reposted by Micah G. Allen
Decision, Action, and Neural Computation (DANC) lab @danclab.bsky.social · 8h
Our multilayer MEG paper is out today in Nature Communications: depth-resolved laminar inference in humans 🧠#neuroskyence www.nature.com/articles/s41...
nature.com
Multilayer MEG source modelling enables depth-resolved laminar inference in humans - Nature Communications
Researchers developed a multilayer MEG framework that estimates activity across cortical depth non-invasively. Simulations and three human datasets show when reliable laminar inference is possible, en...
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Reposted by Micah G. Allen
Decision, Action, and Neural Computation (DANC) lab @danclab.bsky.social · 8h
Can we move MEG a little further down here now? Nobody puts Baby in a corner!
Patrick Swayze "Nobdy puts baby in a corner" meme with classic temporal/spatial resolution of neuroscience methods figure
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Reposted by Micah G. Allen
Alessandro Gozzi @gozziale.bsky.social · 28/09/2026
Most studies ask what #oxytocin does by giving it from the outside. But what happens when the brain releases its own? The answer: not a single "oxytocin circuit" but a profound reorganization of brain network dynamics (fMRI + ePhys) favoring salience-related states! 👉 tinyurl.com/mryc8rp6
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Reposted by Micah G. Allen
Anthony Ramnauth @philoneurosci.bsky.social · 29/09/2026
Comprehensive profiling of #brain #dynamics during #anesthesia across #phylogeny doi.org/10.1038/s415...
doi.org
Comprehensive profiling of brain dynamics during anesthesia across phylogeny - Nature Neuroscience
In this study, Luppi et al. systematically characterized and modeled more than 6,000 features of neural activity during anesthesia. They reveal a shared but reversible dynamical endpoint of anesthesia...
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Reposted by Micah G. Allen
steven t. piantadosi @spiantado.bsky.social · 28/09/2026
A gigantic test, 650 infants across 30 laboratories, finds "no evidence" for Marcus et al.'s ABB rule learning: "to the contrary, a Bayesian analysis of the data indicated strong evidence for a null effect."
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Reposted by Micah G. Allen
Nico @nico-encounter.bsky.social · 18h
Quite interesting study which shows you can reconstruct the semantics of experiences while totally bypassing what's known as the "language centers" of the brain using an LLM trained on brain scans. www.science.org/doi/10.1126/...
science.org
Mind captioning: Evolving descriptive text of mental content from human brain activity
Nonverbal thoughts can be translated into verbal descriptions by aligning semantic representations between text and the brain.
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Reposted by Micah G. Allen
Earl K. Miller @earlkmiller.bsky.social · 29/09/2026
Differences between brain regions appear to help shape the synchrony that underlies brain states. Spatially structured heterogeneity shapes large-scale cortical dynamics in a model of the human cortex doi.org/10.1073/pnas... #neuroscience
doi.org
PNAS
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...
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Reposted by Micah G. Allen
Prof Sam Illingworth @samillingworth.com · 29/09/2026
🧠 Your brain keeps a personal image bank Scanning 50 people imagining moments like a wedding or a run, one brain network held the exact visual detail of each person's own imagined scene, not just its meaning. 🔗 doi.org/10.1126/sciadv.aee4232 #Neuroscience #Memory #Brain 🧪
doi.org
Medial temporal default mode network selectively encodes autobiographical visual imagery
The human brain’s capacity to imagine visual scenes from memory is thought to rely on the medial temporal subsystem of the default mode network (MT-DMN), yet the neural codes supporting this ability r...
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Reposted by Micah G. Allen
Jordan Lei @jordanlei.bsky.social · 28/09/2026
Our paper is out in Nature Communications! In our messy, noisy world, do you find planning difficult/less worthwhile? It's not just you. As we increased the stochasticity in a planning environment, we found that people spent less effort planning: www.nature.com/articles/s41... #cogsci #planning
nature.com
Environmental stochasticity reduces human planning effort - Nature Communications
The real world is stochastic, making it difficult to know when planning is worthwhile. Here the authors show that as stochasticity increases, people spend less effort planning and adopt simpler, less ...
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Reposted by Micah G. Allen
ari ☀️ @khoudary.bsky.social · 29/09/2026
how does memory support perceptual decisions made under uncertainty? this question has scaffolded my entire PhD, and I'm so excited to share part of it in this ✨new preprint ✨ w/ @meganakpeters.bsky.social and @aaronbornstein.bsky.social! link: www.biorxiv.org/content/10.6...
biorxiv.org
Memory retrieval explains dynamic effects of expectations on perceptual decisions
Expectations—prior knowledge of environmental statistics—support adaptive behavior by reducing uncertainty during inference. However, the questions of where expectations come from and how that ought t...
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Micah G. Allen @micahgallen.com · 23h
Great feelings today!!
static.klipy.com
Joyful Celebration Dance
ALT: Joyful Celebration Dance
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Reposted by Micah G. Allen
Rob Chavez @robchavez.bsky.social · 29/09/2026
Our latest paper led by Taylor Guthrie with former undergrad RA Aussie Frost. We show that multivariate fMRI signals can decode the identity of specific individuals within the DMN and in the absence of visual features or other lower-level sensory information. link.springer.com/article/10.3...
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Reposted by Micah G. Allen
Ole Jensen @olejensen.bsky.social · 27/09/2026
I would like to highlight two postdoctoral positions in the project Neuronal Mechanisms of Reading in Children Using OPM-MEG at the University of Oxford: my.corehr.com/pls/uoxrecruit… my.corehr.com/pls/uoxrecruit��� Deadline 30 Sep.
my.corehr.com
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Reposted by Micah G. Allen
Autistic Realms (Helen Edgar) @autisticrealms.bsky.social · 24/09/2026
Exploring The Phenomenology of Autistic Attention Poole D, Molloy H, Butnicu B, Milne E, Buckle KL. (2026) journals.sagepub.com/doi/10.1177/... Here is the free version to read: eprints.whiterose.ac.uk/id/eprint/24...
journals.sagepub.com
Exploring the Phenomenology of Autistic Attention - Daniel Poole, Helen Molloy, Beatrix Butnicu, Elizabeth Milne, Karen Leneh Buckle, 2026
Background: Existing research has identified areas of strength and challenge in relation to autistic attention. However, this work has tended to rely on compari...
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Reposted by Micah G. Allen
Bratislav Misic @misicbata.bsky.social · 25/09/2026
Spatial organization of AQP4 water channel expression in the human brain | doi.org/10.1126/scia... Aquaporins are a key component of the glymphatic system. How are they distributed + how do they relate to brain function and dysfunction? ⤵️
doi.org
Spatial organization of AQP4 water channel expression in the human brain
Aquaporin-4 (AQP4) water channels support the glymphatic system, a brain-wide pathway that clears cerebral waste products. Here, we use AQP4 gene expression to reconstruct a whole-brain glymphatic-rel...
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Reposted by Micah G. Allen
Sandra Romero Pinto @sromeropinto.bsky.social · 25/09/2026
Happy to have this finally out! TL;DR: The evolution of beliefs over time can be formulated as a dynamical system, and OFC neural activity appears to implement this system with its own dynamics. These emerge without explicit supervision—when animals learn to predict value in simple Pavlovian tasks
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Reposted by Micah G. Allen
Jörn Diedrichsen @diedrichsenjorn.bsky.social · 25/09/2026
New preprint from the lab. A long-overdue fMRI study on bimanual movement direction encoding: www.biorxiv.org/content/10.6... @alighavampour.bsky.social, @andpru.bsky.social, @jjodx.eurosky.social
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Reposted by Micah G. Allen
Rik Henson @rhens.bsky.social · 25/09/2026
So thankful to the University of Cambridge for enabling a new chapter in the long history of the APU/CBU (since MRC decided to close all its units…)
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Reposted by Micah G. Allen
Ryszard Auksztulewicz @auksz.bsky.social · 25/09/2026
What can DNNs tell us about how the brain learns? Our new results show that predictive local learning better captures changes in brain representations during statistical learning than supervised or contrastive approaches. Excellent work by @denisekittelmann.bsky.social and @gutlin.bsky.social
biorxiv.org
Predictive coding networks capture human neural representations missing in supervised DNNs
Neuroscientific learning theories propose that the brain acquires knowledge by constructing internal world models. Supervised learning, the dominant approach in deep neural networks (DNN), relies on e...
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Reposted by Micah G. Allen
John Stott @jpsastro.bsky.social · 24/09/2026
Had a UKRI funded grant proposal rejected at the "AI triage stage". "This AI-based triage was used only to identify approximately 50% of the strongest proposals to take forward to full human review." 🧪 #academicsky
I am writing to let you know that, unfortunately, your application was not successful.

Review process

As part of the initial triage of the 179 proposals submitted to this call, each was assessed using an AI-based review. Every proposal was read independently by several different AI models against the same seven criteria used to shape this call (including cyber security relevance, research quality and novelty, importance of the problem addressed, feasibility of the project plan, likely outputs and impact, value for money, and responsible research practice), with each model asked to give a score and a written justification with supporting quotations from the text. To guard against any one model's idiosyncrasies, we also ran a second, independent process in which different AI models debated the merits and weaknesses of each proposal before reaching a judgement, again against the same criteria. Scores from both processes were combined to produce an overall ranking. 

This AI-based triage was used only to identify approximately 50% of the strongest proposals to take forward to full human review.  Projects selected for funding were drawn from those that progressed to the full human review stage. We recognise that AI-assisted assessment is a new and evolving part of the review process, and we are continuing to evaluate how well it aligns with the judgements of human reviewers on this call. We will soon produce a document detailing our method, so that others can build upon it and improve it.

Feedback on your application

Your application was not selected to progress beyond the AI triage stage.  To provide transparency on the outcome of this assessment, we are sharing below the scores (out of 5) from each of the two AI review processes described above, together with the mean score across the two processes.
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Reposted by Micah G. Allen
Imaging Neuroscience @imagingneurosci.bsky.social · 24/09/2026
New paper in Imaging Neuroscience by David Halpern and Todd Gureckis: Getting blood from a stone: Improving brain–behavior inferences without brain data doi.org/10.1162/IMAG...
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Reposted by Micah G. Allen
Monosov Lab @monosovlab.bsky.social · 25/09/2026
10/11 In sum, we found a manipulable circuit for top-down control of the heart. We think it's a piece of the foundation for understanding how cognition and emotion shape the body, and a possible target for therapies that restore healthy brain–heart coupling.
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Reposted by Micah G. Allen
Monosov Lab @monosovlab.bsky.social · 25/09/2026
9/11 And what about cognition? In a risky decision task, sonogenetic activation of a12 shifted behavior toward uncertain, immediate rewards. Chemogenetic inactivation did the reverse. Off-target ultrasound had no effect.
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Reposted by Micah G. Allen
Monosov Lab @monosovlab.bsky.social · 25/09/2026
8/11 Can the circuit be engaged less invasively? We expressed TRPV1 in a12 and stimulated with ultrasound. Heart rate variability rose during stimulation, far more than in TRPV1-negative or off-target controls. Silencing LHA blunted the effect.
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Reposted by Micah G. Allen
Monosov Lab @monosovlab.bsky.social · 25/09/2026
6/11 a12 neurons also tracked the heart. A sizable fraction followed spontaneous heart rate fluctuations over seconds, not beat by beat. Some shifted their firing before the heart changed, mostly cells that fire more when heart rate is low.
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Reposted by Micah G. Allen
Monosov Lab @monosovlab.bsky.social · 25/09/2026
1/11 How does the brain make the heart skip a beat? New preprint: a prefrontal→hypothalamus circuit that controls heart rate. www.biorxiv.org/content/10.6...
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Reposted by Micah G. Allen
Prof Sarah-Jayne Blakemore @sjblakemore.bsky.social · 24/09/2026
New paper! By brilliant Emma Kilford and Sophie Fielmann and others - a great collaboration between researchers in South Africa, Uganda, UK and US. The Limpopo Facial Emotion Stimulus Set: Locally Validated Stimuli for Emotion Research in Sub-Saharan Africa Thread👇 psycnet.apa.org/fulltext/202...
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Reposted by Micah G. Allen
Jack Gallant @gallantlab.org · 24/09/2026
Dr. Tianjiao Zhang's landmark study of naturalistic navigation has been accepted in Nature Neuroscience! Encoding models fit 28,134 features to fMRI from a virtual taxi-driving task, revealing 11 distinct cortical regions that transform perception into action. Read the preprint. gallantlab.org
Dr. Tianjiao Zhang's landmark study of naturalistic navigation has been accepted in Nature Neuroscience!
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Reposted by Micah G. Allen
Benjamin Douglas @bendouglas.bsky.social · 22/09/2026
Not to self-promote but my lab has been developing a very basic tool to track mouse movements in surveys. Our paper is under review, but I’d be happy to share the tool with you (or anyone else who is interested)
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Micah G. Allen @micahgallen.com · 22/09/2026
I really appreciate all the discussion and helpful feedback. As many are suggesting adversarial prompt injection its worth noting that there is already empirical research on this which suggest it is only partially effective and highly model dependent.
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Reposted by Micah G. Allen
Lucas Benjamin @lucaswbenjamin.bsky.social · 22/09/2026
Yes, being very specific helped. More specifically, the message explains the risk to science, the fact that this violates prolific rules, and that it constitutes payment fraud. At least, Anthropic’s models (Opus and Fable) were sufficiently aligned to refuse to perform the task.
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Laura R Cortes @prefrontalcortes.bsky.social · 22/09/2026
My postdoc work at @uclacollege.bsky.social in the #CorreaLab is now published at @pnas.org! 🙌 Our broad question was - do estrogens act on the brain to coordinate thermoregulatory adaptations during pregnancy? 1/8
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Richard O'Farrell @richieof.bsky.social · 22/09/2026
Recently ran a prolific study asking ppts to describe images in <20 words. With 50 captions per person, we were able to pass each participant’s full text into Pangram. It detected 2 out of 200 with high confidence as fully AI, and about 6/7 others as borderline AI/human. FWIW :)
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Blair Shevlin @bshev.bsky.social · 22/09/2026
Been raising that alarm internally at Sinai and Yale, but if our field wants to continue to rely on virtual data collection then we need to develop better bot detection tools. Glad to be collaborating with @kiante.bsky.social on these efforts. His work at UCLA is leading the way survey-shield.com
survey-shield.com
Survey Shield
Survey Shield - AI-powered survey bot-detection analysis
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Kianté @kiante.bsky.social · 22/09/2026
Unfortunately, better for the agents... but collectively, by having a good sense of the ever-evolving current state, members of the community have been building safeguards that track these devolpments.
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Reposted by Micah G. Allen
Kianté @kiante.bsky.social · 22/09/2026
I think that may become the cost of doing business when conducting online behavioral research. We need to keep doing our due diligence and keeping up with what works. People gaming the system is not new. Just more accessible.
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Kianté @kiante.bsky.social · 22/09/2026
Yes, but I think process tracing is the right approach. We have been recommending that people consider webcam eye tracking: osf.io/preprints/ps...
osf.io
OSF
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Reposted by Micah G. Allen
Blair Shevlin @bshev.bsky.social · 22/09/2026
Unfortunately, LLM agents can already pass these checks. Video instructions can be decoded just as easily as text. You can try it yourself by asking one to identify objects in a youtube video
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Blair Shevlin @bshev.bsky.social · 22/09/2026
Highly recommend checking out some of @kiante.bsky.social recent work. He's developing some great tools for bot detection, including survey-shield.com and kiante-fernandez.github.io/webgazer-qua...
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Reposted by Micah G. Allen
Kianté @kiante.bsky.social · 22/09/2026
We have been documenting agents' capabilities to take on these sorts of tasks across a wide range of cognitive paradigms. The current state is even better than some of these initial benchmarks suggest as well (under review at NeurIPS this year). cog-arena.vercel.app
cog-arena.vercel.app
CogArena — AI Agent Cognitive Benchmark
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Micah G. Allen @micahgallen.com · 22/09/2026
Storing all four active fermentation vessels in my bedroom means it sounds (and sometimes smells) like I’m living inside a very active small intestine. 🫠
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Micah G. Allen @micahgallen.com · 22/09/2026
some good news... in this one example, mouse behavior is a dead giveaway of agentic browser usage. No idea if a simple instruction (make sure to use the mouse in a human way) could bypass it. But in this case, the mouse literally teleports around the screen.
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Micah G. Allen @micahgallen.com · 22/09/2026
Here is what Sol said when I asked it how it did this 🧵
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Reposted by Micah G. Allen
Mara Mather @maramather.bsky.social · 22/09/2026
Preprint of collaboration with @lauradata.bsky.social. We found that infraslow slow sighing at a frequency recently linked to glymphatic clearance (0.02-0.03 Hz) produced significantly higher CSF-BOLD coupling than other breathing regimes. www.biorxiv.org/content/10.6...
biorxiv.org
Effects of different slow paced breathing regimes on cerebrospinal fluid (CSF) oscillations
Cerebrospinal fluid (CSF) transport is crucial for clearing waste from the brain and is largely driven by blood vessel oscillatory dynamics. During non-REM sleep, large oscillations occur in the infra...
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Micah G. Allen @micahgallen.com · 22/09/2026
So… we just found out that GPT sol can complete a complex online behavioral/cognitive study producing nearly indistinguishable behavior and subjective reports… right as we are about to launch. Is this doomsday for online cognitive testing?
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Siobhan Mitchell, PhD @esiobhanmitchell.bsky.social · 21/09/2026
Brilliat new paper : The brain is two separate organs that develop in parallel One organ is for controlling breathing, temperature, heart function, and the other organ is for thinking. They form separately and then join together during development 🧪 www.nature.com/articles/s41...
nature.com
Two parallel neural ectoderm progenitors contribute to the developing brain - Nature Neuroscience
This study shows that the brain arises from two distinct progenitors: one forms the forebrain and midbrain, whereas the other generates the hindbrain. These insights enable the generation of human hin...
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Reposted by Micah G. Allen
Natalie Christie Peluso 🧠 @nataliepeluso.com · 21/09/2026
🔥 Exposure to basic emotion labels primes people to respond with fewer unique labels when viewing faces. Here, a new study extends this to labelling face pareidolia in aging. TL:DR basic emotion labels need disentangling from task constraints www.tandfonline.com/doi/abs/10.1...
tandfonline.com
Emotion labelling varies with lexical complexity more than age in face pareidolia images
Forced choice paradigms constrain the emotion labels available to participants, limiting the range of lexical responses elicited by emotional stimuli. To characterise emotion labelling when this co...
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Reposted by Micah G. Allen
Earl K. Miller @earlkmiller.bsky.social · 18/09/2026
Consciousness is not just how much emergent brain activity you have, it's how it's organized Emergent multiscale organisation of neural dynamics fragments in anaesthesia doi.org/10.1162/IMAG... #neuroscience
doi.org
Emergent multiscale organisation of neural dynamics fragments in anaesthesia
Abstract. Conscious experience depends on the coordinated activity of neural processes that span multiple scales: from synapses to whole-brain dynamics. A recently introduced measure, dynamical indepe...
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Prof Sam Illingworth @samillingworth.com · 20/09/2026
🤰 Pregnancy cravings traced in mice Pregnant mice crave food much as pregnant women report. Louisiana State University researchers traced it to serotonin brain cells that fire less during pregnancy. doi.org/10.1038/s41593-026-02445-3 #Neuroscience #Pregnancy 🧪
doi.org
Serotonin neurons in the dorsal raphe control food-craving-like behavior during pregnancy in mice - Nature Neuroscience
Zhao, Feng, Dong and colleagues found that pregnant mice crave highly palatable foods due to SK3-mediated inhibition of 5-HT neurons in DRN. Reactivating serotonergic DRN→VTA projections reduced these...
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Ethan Solomon @esolomon.bsky.social · 18/09/2026
Excited to share a new discovery from @stanfordpntlab.bsky.social about the effects of neurostimulation on brain activity. www.medrxiv.org/content/10.6... With our colleagues at the University of Iowa, we explored how intermittent theta burst stimulation (iTBS) changes neural excitability. A 🧵
medrxiv.org
iTBS induces a suppression-rebound pattern in human cortical excitability
Intermittent theta burst stimulation (iTBS) is a widely used form of brain stimulation, developed on the premise that it promotes long-term potentiation (LTP) and neural excitation. However, this is n...
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