(1/8) Our approach for untangling brain-wide interactions is out today in @cp-neuron.bsky.social! Current-Based Decomposition (CURBD) uses RNNs constrained by real neural data to reveal the input driving neurons, uncovering how brain regions talk to each other. doi.org/10.1016/j.ne... 🧵👇
RD PascualMarqui
@pascualmarqui.bsky.social
KEY Inst Brain-Mind Research @UniZurich neuroscience imaging connectivity EEG MEG oscillations +LORETA+ Lagged Coherence/PhaseSynch Multivar/HiOrder InfoFlow https://scholar.google.com/scholar?q=pascual-marqui https://www.uzh.ch/keyinst/
When a TMS pulse was delivered during beta ERD, EMG motor evoked potentials (MEPs) were larger than during ERS, while the immediate TMS-evoked responses (iTEPs) were smaller. This means that beta ERD was associated with decreased cortical excitability and increased cortico-spinal excitability. Odd!🤔
Opposing modulation of cortical and corticospinal excitability across movement-related beta stages https://www.biorxiv.org/content/10.64898/2026.07.28.741164v1
Cellular mechanisms of serotonergic psychedelics - apical hypercontextualisation
Cellular mechanisms of serotonergic psychedelics - apical hypercontextualisation
Classical serotonergic psychedelics primarily exert their profound effects through agonism at the serotonin 2 A (5-HT2A) receptor, which is abundantly…
sciencedirect.com
From periodic/aperiodic to static/dynamic: rethinking the decomposition of neural power spectra https://www.biorxiv.org/content/10.64898/2026.07.26.740811v1
'Brain rhythms of depression: A predictive processing perspective' by Andreas Strube @astrube.bsky.social & Diego Pizzagalli @diegopizzagalli.bsky.social www.cell.com/trends/neuro...
NYU Professor Hong Wang Wins Fields Medal Mathematician recognized with the highest prize in mathematics for resolving a long-standing problem in harmonic analysis and geometric measure theory—the three-dimensional Kakeya conjecture www.nyu.edu/about/news-p... publication date: Jul 23, 2026
From Subconscious to Insight: Decoding the Incubation Process in Creative Problem Solving Chatrin Phunruangsakao, Zenas C Chao bioRxiv 2026.07.15.738837; doi: doi.org/10.64898/202...
Hard to overstate the importance of this paper. Acategoricality and mixed selectivity together kill a lot of sacred cows. For starters, place cells aren't real, in that they are not a meaningful category. They are just a thing we scrape out of the data. Scientists focus on them because...
Scientists have long debated whether neurons are jacks of all trades or tend to specialize in one thing. Now @stefanofusi.bsky.social, @lorenzoposani.com & Liam Paninski present new evidence in @nature.com shedding light on how the brain performs complex tasks. tinyurl.com/yj3ew8en
Out today on @nature.com! Connecting neural specialization, population geometry, and their functional implications across the cortical hierarchy. So grateful for this beautiful and fun collaboration with @shuqiw.bsky.social, S Muscinelli, L Paninski, and @stefanofusi.bsky.social!
Rarely categorical, highly separable representations along the cortical hierarchy - Nature
Cortical circuits prioritize diversity over categorical structure, supporting a computational regime geared towards high-dimensional, highly separable neural representations.
nature.com
Why do we forget our dreams? Dreams are the kind of experiences that in principle should stick well in memory: emotional and often bizarre. If we would encounter typical dream content during wakefulness, we would likely never forget it. Yet, we forget most dreams soon after awakening. (1/3)
Preprints don’t change much after peer review — and are rarely retracted. go.nature.com/4pebHmM
Think preprints are unreliable? Analysis of 70,000 studies might change your mind
Preprints don’t change much after peer review — and are rarely retracted.
go.nature.com
In visual learning, slower changes come from adjustments in connections between neurons, while faster changes come from intrinsic plasticity. Together, these two learning processes help the brain efficiently adapt to familiar information over time. www.nature.com/articles/s41... #neuroscience
Visual learning at fast and slow timescales is driven by distinct plasticity rules in primate inferotemporal cortex - Nature Communications
We rapidly distinguish familiar from novel objects, but how the brain learns this remains unclear. Using macaque inferotemporal cortex recordings and modeling, the authors show that familiarity learni...
nature.com
Our paper "Neural timescales from a computational perspective" is finally out in @natneuro.nature.com: www.nature.com/articles/s41... We discuss how computational models and methods can distill empirical observations on neural timescales into quantitative, testable theories of brain computation.
Neural timescales from a computational perspective - Nature Neuroscience
This review integrates computational approaches to provide a unified view on how data analysis methods, biophysical mechanistic models and machine learning approaches can help to uncover the origins a...
nature.com
Variability in brain oscillations can be explained by ephaptic coupling w/ @earlkmiller.bsky.social doi.org/10.1093/cerc...
Ephaptic coupling can explain variability in neural activity
Abstract. The waxing and waning cortical oscillatory power correlates with function and disease. This cross-trial variability has been thought to be due to
doi.org
To be fair, Anthropic didn't say Claude is conscious. But I'm missing on the point why the found J-space is a global workspace and not just massive working memory?
The global neuronal workspace (GNW) is currently the best documented neuroscience mechanism by which conscious processing arises in the human brain — and now Anthropic researchers have discovered a similar workspace inside their large language model ! www.anthropic.com/research/glo...
“move from preprint to peer-reviewed publication leaves the central claims of most abstracts intact, indicating preprints are a reliable source…papers that were never posted as preprints were retracted at roughly twice the rate of those that were…” www.biorxiv.org/content/10.6...
Tracking claim changes from preprint to publication across 72,644 biomedical studies using large language models
Preprints now disseminate a large share of biomedical research before peer review. Because they have not yet passed peer review, some scientists regard preprint claims as unverified or potentially unr...
biorxiv.org
Very happy to see this Review with @diegopizzagalli.bsky.social out in @cp-trendsneuro.bsky.social www.cell.com/trends/neuro... This piece brings together a lot of what we’ve been thinking on depression, predictive processing and EEG. Many thanks for the support from @sfb-trr-289.bsky.social
Brain rhythms of depression: A predictive processing perspective
Depression is marked by anhedonia, social withdrawal, and a diminished capacity to learn from positive experiences—features that can be framed within predictive processing. Here, we review findings fr...
cell.com
New open dataset out in Scientific Data 🚨 We are releasing BBBD: the Brain, Body, and Behavior Dataset. Paper: www.nature.com/articles/s41... Work with @parralab.org
The Brain, Body, and Behavior Dataset (BBBD): Multimodal Recordings during Educational Videos - Scientific Data
Scientific Data - The Brain, Body, and Behavior Dataset (BBBD): Multimodal Recordings during Educational Videos
nature.com
A fundamental discovery ! Immanuel Kant would have loved it.
Is spatial navigation innate 🧠? Using #NeuroPixels we show that the #torus 🍩 underlying the #GridCell map exists already on day 10 in rats — before pups open eyes and ears and before they start upright walking. 🧵1:4 👇 www.biorxiv.org/content/10.6...
Judea Pearl Named AI Pioneer by Boston Global Forum in Honor of America’s 250th Anniversary samueli.ucla.edu/judea-pearl-...
Judea Pearl Named AI Pioneer by Boston Global Forum in Honor of America’s 250th Anniversary
Judea Pearl, a chancellor’s professor emeritus of computer science at the UCLA Samueli School of Engineering, has been named one of 50 AI Pioneers by nonprofit think tank Boston Global Forum and its A...
samueli.ucla.edu
We just released a major update to TDBRAIN V3.1: one of the largest and most well phenotyped, openly available clinical EEG datasets (>1500 EEGs).
Some neurons fire during certain phases of LFP oscillations, while some fire more when LFP oscillates at certain frequencies. V. cool!🤩 I appreciated the discussion about causality: do oscillations in LFP cause increased spiking, or does the change in spiking cause changes in the spectrum of LFP?
This Primer explores a @plosbiology.org study showing that #neuronal firing is selectively tuned to oscillatory frequency, complementary to phase tuning, suggesting an additional dimension in how #brain rhythms may organize neural activity 🧪 Paper: plos.io/44odgVM Primer: plos.io/4eJ6bUI
Brain Control of a Computer Cursor for Online Target Selection - A Non-Invasive BCI for Continuous Movement Decoding Markus Crell, Kyriaki Kostoglou, Patrick Suwandjieff, Johanna Egger, Gernot Mueller-Putz bioRxiv 2026.06.23.733968; doi: doi.org/10.64898/202... (Posted June 29, 2026)
📣 Thrilled to share our recent work in @natneuro.nature.com. Using direct recordings from the human hippocampus and visual cortex, we asked how the brain prepares to encode information when upcoming events are unpredictable, and what ripples do in that process. www.nature.com/articles/s41...
Human hippocampal ripples tune cortical responses based on predicted uncertainty - Nature Neuroscience
Using direct recordings from the human brain, Frank et al. show that hippocampal ripples increase ahead of unpredictable events and tune the visual cortex to respond faster and more strongly to surpri...
nature.com
Connectivity- vs Scalp-Based Targeting of Accelerated Transcranial Magnetic Stimulation for Depression A Randomized Clinical Trial jamanetwork.com/journals/jam...
Connectivity- vs Scalp-Based Targeting of Accelerated TMS for Depression
This randomized clinical trial estimates the effect size of connectivity- vs scalp-based targeting of accelerated transcranial magnetic stimulation for treatment-resistant depression.
jamanetwork.com
Some neurons like to ride on slow LFP oscillations, regardless of their phase! This might represent a mechanism to coordinate neural activity and propagate information across brain circuits 🧠 amazing collaboration led by the super talented @zahrajourahmad.bsky.social and Andrew Watrous!
Do #neurons show preferential firing at specific oscillatory frequencies? @elebartoli.bsky.social &co use recordings from neurosurgical patients to show that freq of oscillations modulates neuronal firing; implications for freq-targeted #NeuralStimulation @plosbiology.org 🧪 plos.io/44odgVM
Our paper is now in print in Nature @nature.com. If you're interested in local field potentials, especially #high-gamma activity, and/or #spikes, check it out! TL;DR: High gamma is not mainly filtered spikes, but mainly summed nearby PSPs. www.nature.com/articles/s41...
Active dissociation of intracortical spiking and high gamma activity - Nature
A brain–machine interface is used in monkeys to investigate the biophysical underpinnings of cortical high gamma-band activity, a signal that is often studied in the context of many brain functions.
nature.com
Your heartbeat quietly shapes how your brain processes information www.science.org/content/arti...
Your heartbeat quietly shapes how your brain processes information
Frequently ignored bodily rhythms may be skewing neuroscience experiments
science.org
Researchers recorded from single neurons across frontotemporal cortex in 8 awake individuals during natural speech. They show how activities of collections of cells can capture syntactic & semantic properties of words, & also dynamically incorporate sentence context to encode combinatorial info. 🗣️🧠🧪
Mapping the neuronal building blocks of human language with language models - Nature
Wide-scale recordings reveal neurons in the human brain that encode fundamental components of language such as the grammatical relationships between words, their parts of speech and the...
nature.com
New paper in Imaging Neuroscience by Francesco Antonio Mallus, Thomas Wolfers, et al: From early to contemporary normative modeling: Mapping individual differences in neurophysiological signals doi.org/10.1162/IMAG...