Tootfinder

fly_larva: Drosophila larva brain (2023)
A complete synaptic map of the brain connectome of the larva of the fruit fly Drosophila melanogaster. Nodes are neurons, and edges are synaptic connections, traced individually from brain image sections using three-dimensional electron microscopy–based reconstruction. Node metadata include the neuron hempisphere, hemispherical homologue, cell type, annotations, and inferred cluster. Edge metadata include the type of interaction (`'aa'`,…

Can adults grow new brain cells? https://www.livescience.com/health/neuroscience/can-adults-grow-new-brain-cells "Scientists are still debating whether the human brain is capable of growing new cells past childhood"

Can adults grow new brain cells?
Scientists are still debating whether the human brain is capable of growing new cells past childhood.

Paradromics implanted and removed its Connexus brain implant in a patient for ~10 minutes during epilepsy surgery on May 14, a first for the Neuralink rival (Emily Mullin/Wired)
https://www.wired.com/story/paradromics-neuralink-rival-tested-brain-impl…

A Neuralink Rival Just Tested a Brain Implant in a Person
Paradromics, a brain-computer-interface startup, inserted its brain implant in a person—briefly—in an early test of its technology.

I’ve been trying to “vibe code” a couple of things over the last few days, but I had to fall back on using my brain (like a sucker!).
I should keep some of this coding knowledge knocking around a little longer before cat videos and memes fill those parts of my brain.
My vibe must be off :P

A Pre-trained Framework for Multilingual Brain Decoding Using Non-invasive Recordings
Yi Guo, Yihang Dong, Michael Kwok-Po Ng, Shuqiang Wang
https://arxiv.org/abs/2506.03214

A Pre-trained Framework for Multilingual Brain Decoding Using Non-invasive Recordings
Brain-computer interfaces (BCIs) with speech decoding from brain recordings have broad application potential in fields such as clinical rehabilitation and cognitive neuroscience. However, current decoding methods remain limited to single-language, single-subject, and single neuroimaging modality settings, restricting their clinical applicability and generalizability. Here we propose a joint multilingual, multi-subject and multimodal decoding framework. It maps diverse brain recordings into a un…

Whereas Leibniz’s task was to find the sum of infinitely many known terms, Hounsfield wondered:
Could the process be run in reverse?
With enough total dimmings, from enough directions, could we work backward to deduce the unknown absorption at each point along the many beams
— and use that to see inside the brain?
Most radiologists thought the idea was crazy. -- But one doctor was willing to listen.
He handed Hounsfield a jar containing a human brain with a t…

How a Puzzle About Fractions Got Brain Scans Rolling
A story of bowling pins, patterns and medical miracles.

Sub-Scalp EEG for Sensorimotor Brain-Computer Interface
Timothy B Mahoney, David B Grayden, Sam E John
https://arxiv.org/abs/2506.03423 https://

Sub-Scalp EEG for Sensorimotor Brain-Computer Interface
Objective: To establish sub-scalp electroencephalography (EEG) as a viable option for brain-computer interface (BCI) applications, particularly for chronic use, by demonstrating its effectiveness in recording and classifying sensorimotor neural activity. Approach: Two experiments were conducted in this study. The first aim was to demonstrate the high spatial resolution of sub-scalp EEG through analysis of somatosensory evoked potentials in sheep models. The second focused on the practical appli…

This really bums me out. JD Twitch’s mixtapes are legendary. Much respect and admiration for him donating all the proceeds to a local food bank. https://www.theguardian.com/music/2025/jul/03/jd-twitch-of-scottish-…

I'd like to see neuroscientists nudge the brain toward brain states that blend lucid dreaming and visual-to-auditory sensory substitution https://thedebrief.org/largest-brain-study-yet-confirms-lucid-dreaming-as-unique-state-o…

Largest Brain Study Yet Confirms Lucid Dreaming as Unique State of Consciousness
Science, Tech and Defense for the Rebelliously Curious.

One of the best things about the @… meeting is the chance to connect with experts in different but related fields. Dinner this evening covered low level jets, atmospheric rivers, carbon cycling by biological processes in the southern ocean, permafrost decay and vegetation processes in the Arctic and how wildfires will spread in the future.
We are a very diverse group.
Brain full, it's time to sleep

Watching the latest NileBlue and the first thing that pops into my head is
🎶 BRAIN IMPLOSION ENERGY

I know some of the money is thinking what @… says here. The trouble here is that Tesla is currently wildly, absurdly, comically overvalued wrt its fundamentals, and there are really only two rationalizations for that:
(1) Musk is a brain genius who will innovate the company into magic unicorn fairyland of world domination.
(2) Musk has Trump on a leash and will reap the benefits of kleptocratic plundering of the US Federal budget.
Both of those justifications depend on Musk remaining at Tesla. If he leaves, there’s little reason for the P/E ratio not to correct to normal car company levels — which AIUI would mean a stock price drop of >90%.
https://hachyderm.io/@zzzeek/114637505037473139

Multi-modal brain MRI synthesis based on SwinUNETR
Haowen Pang, Weiyan Guo, Chuyang Ye
https://arxiv.org/abs/2506.02467 https://arxiv…

Multi-modal brain MRI synthesis based on SwinUNETR
Multi-modal brain magnetic resonance imaging (MRI) plays a crucial role in clinical diagnostics by providing complementary information across different imaging modalities. However, a common challenge in clinical practice is missing MRI modalities. In this paper, we apply SwinUNETR to the synthesize of missing modalities in brain MRI. SwinUNETR is a novel neural network architecture designed for medical image analysis, integrating the strengths of Swin Transformer and convolutional neural networ…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Funkadelic:
🎵 Maggot Brain (remastered 2023)
#Funkadelic
https://derrok.bandcamp.com/track/gusano-funkadelics-maggot-brain-cover
https://open.spotify.com/track/5WJU527RQNyMLuKecjsL8V

When 47 is no more, I want the autopsy report on his brain.

🇺🇦 Auf radioeins läuft...
Tikhet:
🎵 I Buried My Brain In El Segundo
#NowPlaying #Tikhet
https://eskapadenmusik.bandcamp.com/track/i-buried-my-brain-in-el-segundo
https://open.spotify.com/track/2Cq60npcpfq6YAlh0Nndkt

"LLMs are okay at coding, but at scale they build jumbled messes. I’ve scaled back my use of AI when coding and gone back to using my brain and pen and paper."
https://albertofortin.com/writing/coding-with-ai

@… @… I’d love to attend, but perhaps next year! I’m still very limited in what time I can contribute.
If you’re here all weekend, can I pick your brain about it?

There’ve been articles all over lately, based on a single small (n=55) study that purports to show adverse effects of cannabis use by the elderly. Here’s some evidence to the contrary. A series of studies show improved working memory function with cannabis use for those over 65 years of age. Heading on down to the dispensary as soon as I post this toot. It’s science, friends.

The Benefits of Daily Cannabis for the Middle-Aged Brain
Even daily use of low-level cannabis does not have a negative impact on cognition in older adults, recent research finds.

I need your help. It's surprisingly hard to find a PC game (or port/emulation) that ticks the following boxes:
- generally easy, or with easy difficulty setting
- mostly linear, not open world
- story-driven
- ideally, controller support
You know what I mean? I'm looking for something relaxing for when my brain is exhausted where I don't have to make too many decisions.
#AskFedi

Do I process anarchism best through pictures and memes? Absolutely, that’s my brain’s native language!
Can I make sense of anarchist theory in text form? Sometimes, especially if it’s Rudolf Rocker.
Can I actually explain anarchism to other people? Nope, my brain just hits a wall.
Welcome to the wonderfully autistic way my mind works!
#ActuallyAutistic

MvHo-IB: Multi-View Higher-Order Information Bottleneck for Brain Disorder Diagnosis
Kunyu Zhang, Qiang Li, Shujian Yu
https://arxiv.org/abs/2507.02847 htt…

MvHo-IB: Multi-View Higher-Order Information Bottleneck for Brain Disorder Diagnosis
Recent evidence suggests that modeling higher-order interactions (HOIs) in functional magnetic resonance imaging (fMRI) data can enhance the diagnostic accuracy of machine learning systems. However, effectively extracting and utilizing HOIs remains a significant challenge. In this work, we propose MvHo-IB, a novel multi-view learning framework that integrates both pairwise interactions and HOIs for diagnostic decision-making, while automatically compressing task-irrelevant redundant information…

Minimally Invasive Brain Computer Interfaces: Evaluating the Impact of Tissue Layers on Signal Quality of Sub-Scalp EEG
Timothy B Mahoney, JingYang Liu, Huakun Xin, David B Grayden, Sam E John
https://arxiv.org/abs/2506.03452

Minimally Invasive Brain Computer Interfaces: Evaluating the Impact of Tissue Layers on Signal Quality of Sub-Scalp EEG
Individuals with severe physical disabilities often experience diminished quality of life stemming from limited ability to engage with their surroundings. Brain-Computer Interface (BCI) technology aims to bridge this gap by enabling direct technology interaction. However, current BCI systems require invasive procedures, such as craniotomy or implantation of electrodes through blood vessels, posing significant risks to patients. Sub-scalp electroencephalography (EEG) offers a lower risk alternat…

Why Does Your Brain Always Expect the Worst?
#MentalHealth #BeBetter

Why Does Your Brain Always Expect the Worst?
Your brain constantly predicts the future based on past pain, but you can retrain it and turn catastrophic thinking into hope.

People that change their pfp often mess with my brain. (Looking at you @…⁠)

Non-invasive two-step strategy BCI: brain-muscle-hand interface
Sun Ye, Zuo Cuiming, Zhang Rui, Shi Bin, Pang Yajing, Gao Lingyun, Zhao Bowei, Wang Jing, Yao Dezhong, Liu Gang
https://arxiv.org/abs/2506.02013

Non-invasive two-step strategy BCI: brain-muscle-hand interface
Brain-computer interface enables direct interaction between brain and device. However, common brain-computer interfaces often employ one-step strategy that rely on non-natural paradigms, such as SSVEP-BCI and MI-BCI, are limited to specific scenarios, restricting their broader application. This paper first proposes a two-step strategic brain-muscular-hand interface (BMHI) based on biological evolutionary selection mechanism, by integrating the brain-muscle (BM) interface with the muscle-hand (M…

Microsoft layoffs of even long-time industry vets signal video game industry brain drain #gaming

Microsoft Layoffs Signal Video Game Industry Brain Drain - Aftermath
Multiple industry veterans have left Xbox in the wake of layoffs

A "Wenlu" Brain System for Multimodal Cognition and Embodied Decision-Making: A Secure New Architecture for Deep Integration of Foundation Models and Domain Knowledge
Liang Geng
https://arxiv.org/abs/2506.00570

A "Wenlu" Brain System for Multimodal Cognition and Embodied Decision-Making: A Secure New Architecture for Deep Integration of Foundation Models and Domain Knowledge
With the rapid penetration of artificial intelligence across industries and scenarios, a key challenge in building the next-generation intelligent core lies in effectively integrating the language understanding capabilities of foundation models with domain-specific knowledge bases in complex real-world applications. This paper proposes a multimodal cognition and embodied decision-making brain system, ``Wenlu", designed to enable secure fusion of private knowledge and public models, unified proc…

GANORM: Lifespan Normative Modeling of EEG Network Topology based on Multinational Cross-Spectra
Shiang Hu, Xiaolong Huang, Yifan Hu, Xue Xiang, Xiaoliang Sheng, Debin Zhou, Pedro A. Valdes-Sosa
https://arxiv.org/abs/2506.02566

GANORM: Lifespan Normative Modeling of EEG Network Topology based on Multinational Cross-Spectra
Charting the lifespan evolutionary trajectory of brain function serves as the normative standard for preventing mental disorders during brain development and aging. Although numerous MRI studies have mapped the structural connectome for young cohorts, the EEG-based functional connectome is unknown to characterize human lifespan, limiting its practical applications for the early detection of brain dysfunctions at the community level. This work aimed to undertake normative modeling from the persp…

Quanta Magazine Staff Writer Yasemin Saplakoglu describes the various ongoing inter-disciplinary efforts to advance our scientific understanding of the Human brain. Computer scientists and computational neuroscientists collaborate as the latter borrow mathematical models from the former, and studies ways to incorporate new biological data to enhance, or supplant existing computational models.
"AI Is Nothing Like a Brain, and That's OK."

AI Is Nothing Like a Brain, and That’s OK | Quanta Magazine
The brain’s astounding cellular diversity and networked complexity could show how to make AI better.

Neuronal avalanches as a predictive biomarker of BCI performance: towards a tool to guide tailored training program
Camilla Mannino (NERV), Pierpaolo Sorrentino (INS), Mario Chavez (NERV), Marie-Costance Corsi (NERV)
https://arxiv.org/abs/2506.04745

Neuronal avalanches as a predictive biomarker of BCI performance: towards a tool to guide tailored training program
Brain-Computer Interfaces (BCIs) based on motor imagery (MI) hold promise for restoring control in individuals with motor impairments. However, up to 30% of users remain unable to effectively use BCIs-a phenomenon termed ''BCI inefficiency.'' This study addresses a major limitation in current BCI training protocols: the use of fixed-length training paradigms that ignore individual learning variability. We propose a novel approach that leverages neuronal avalanches-spatiotemporal cascades of bra…

Differences between Neurodivergent and Neurotypical Software Engineers: Analyzing the 2022 Stack Overflow Survey
Pragya Verma, Marcos Vinicius Cruz, Grischa Liebel
https://arxiv.org/abs/2506.03840

Differences between Neurodivergent and Neurotypical Software Engineers: Analyzing the 2022 Stack Overflow Survey
Neurodiversity describes variation in brain function among people, including common conditions such as Autism spectrum disorder (ASD), Attention deficit hyperactivity disorder (ADHD), and dyslexia. While Software Engineering (SE) literature has started to explore the experiences of neurodivergent software engineers, there is a lack of research that compares their challenges to those of neurotypical software engineers. To address this gap, we analyze existing data from the 2022 Stack Overflow De…

AI-generated: The power of cross-modal reorganization https://www.numberanalytics.com/blog/harnessing-cross-modal-reorganization Harnessing the brain's ability to adapt for improved function; Llama-4-Maverick-17B-128E-Instruct-FP8

This https://arxiv.org/abs/2411.06842 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

DRIFTS: Optimizing Domain Randomization with Synthetic Data and Weight Interpolation for Fetal Brain Tissue Segmentation
Fetal brain tissue segmentation in magnetic resonance imaging (MRI) is a crucial tool that supports understanding of neurodevelopment, yet it faces challenges due to the heterogeneity of data coming from different scanners and settings, as well as data scarcity. Recent approaches based on domain randomization, like SynthSeg, have shown great potential for single-source domain generalization by simulating images with randomized contrast and image resolution from the label maps. In this work, we …

TBH I find this mildly reassuring 😅
Neuroscientists remain steadfastly uncertain about how the brain encodes memory
https://medicalxpress.com/news/2025-06-neuroscientists-steadfastly-uncertain-brain-encodes.html

A late addition to stroke awareness month (May).
From my article: #health #stroke

Today in "let's file this one under what could possibly go wrong?":
"The world's first commercial hybrid of silicon circuitry and human brain cells will soon be available for rent."
https://www.sciencealert.com/you-can-now-rent-a-flesh-computer-grown-in-a-british-lab

Helmet ultrasound for brain imaging in post-hemicraniectomy patients
Yang Zhang, Karteekeya Sastry, Iyla Rossi, Joshua Olick-Gibson, Jonathan J. Russin, Charles Y. Liu, Lihong V. Wang
https://arxiv.org/abs/2506.00626

Helmet ultrasound for brain imaging in post-hemicraniectomy patients
Noninvasive imaging deep into the adult brain at submillimeter and millisecond scales remains a challenge in medical imaging. Here, we report a helmet based ultrasound brain imager built from a customized helmet, a scanned ultrasound array, and three dimensional printing for real time imaging of human brain anatomical and functional information. Through its application to post hemicraniectomy patients in a sitting position, we achieved volumetric brain tissue structural, vascular, and blood flo…

- You're a cow, but you're also an op-ed writer. How is this possible?
- I have a brain and an udder, and I use both.

Woman dies from brain ameba after flushing nose with RV water:
https://www.cidrap.umn.edu/misc-emerging-topics/woman-dies-brain-ameba-after-flushing-nose-rv-water

This https://arxiv.org/abs/2505.24137 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAR_…

Energy-Oriented Computing Architecture Simulator for SNN Training
With the growing demand for intelligent computing, neuromorphic computing, a paradigm that mimics the structure and functionality of the human brain, offers a promising approach to developing new high-efficiency intelligent computing systems. Spiking Neural Networks (SNNs), the foundation of neuromorphic computing, have garnered significant attention due to their unique potential in energy efficiency and biomimetic neural processing. However, current hardware development for efficient SNN train…

Robust Scaling in Human Brain Dynamics Despite Latent Variables and Limited Sampling Distortions
Rub\'en Calvo, Carles Martorell, Adri\'an Roig, Miguel A. Mu\~noz
https://arxiv.org/abs/2506.03640

Robust Scaling in Human Brain Dynamics Despite Latent Variables and Limited Sampling Distortions
The idea that information-processing systems operate near criticality to enhance computational performance is supported by scaling signatures in brain activity. However, external signals raise the question of whether this behavior is intrinsic or input-driven. We show that autocorrelated inputs and temporal resolution influence observed scaling exponents in simple neural models. We also demonstrate analytically that under subsampling, non-critical systems driven by independent autocorrelated si…

Researchers tested 200 toddlers — 96 chemicals were lurking in their bodies #UnitedStates

Researchers tested 200 toddlers — 96 chemicals were lurking in their bodies
Researchers testing urine from 2- to 4-year-olds in four U.S. states uncovered 96 different chemicals, many of them unmonitored and linked to hormone and brain disruption. Legacy toxins like triclosan are slowly declining, yet replacements such as DINCH plasticizer and modern pesticides are rising. Toddlers—especially the youngest, later-born, and those from minority groups—often carried higher levels than their own mothers. Scientists urge expanded biomonitoring and stricter regulations be…

A Scalable Exponential Random Graph Model: Amortised Hierarchical Sequential Neural Posterior Estimation with Applications in Neuroscience
Yefeng Fan, Simon Richard White
https://arxiv.org/abs/2506.04558

A Scalable Exponential Random Graph Model: Amortised Hierarchical Sequential Neural Posterior Estimation with Applications in Neuroscience
Exponential Random Graph Models (ERGMs) are an inferential model for analysing statistical networks. Recent development in ERGMs uses hierarchical Bayesian setup to jointly model a group of networks, which is called a multiple-network Exponential Random Graph Model (MN-ERGMs). MN-ERGM has been successfully applied on real-world resting-state fMRI data from the Cam-CAN project to infer the brain connectivity on aging. However, conventional Bayesian ERGM estimation approach is computationally int…

#news #science

This https://arxiv.org/abs/2504.18073 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Modular integration of neural connectomics, dynamics and biomechanics for identification of behavioral sensorimotor pathways in Caenorhabditis elegans
Computational approaches which emulate in-vivo nervous system are needed to investigate mechanisms of the brain to orchestrate behavior. Such approaches must integrate a series of biophysical models encompassing the nervous system, muscles, biomechanics to allow observing the system in its entirety while supporting model variations. Here we develop modWorm: a modular modeling framework for the nematode C. elegans. modWorm allows for construction of a model as an integrated series of configurabl…

A Neuralink rival just tested a brain implant in a person https://www.wired.com/story/paradromics-neuralink-rival-tested-brain-implant/ (archived at

A Neuralink Rival Just Tested a Brain Implant in a Person
Paradromics, a brain-computer-interface startup, inserted its brain implant in a person—briefly—in an early test of its technology.

⏰ Inside a neuroscientist’s quest to cure coma
#brain

Inside a neuroscientist’s quest to cure coma
Thousands of Americans are trapped in disorders of consciousness. Neuroscientist Daniel Toker is searching for a way out.

M3ANet: Multi-scale and Multi-Modal Alignment Network for Brain-Assisted Target Speaker Extraction
Cunhang Fan, Ying Chen, Jian Zhou, Zexu Pan, Jingjing Zhang, Youdian Gao, Xiaoke Yang, Zhengqi Wen, Zhao Lv
https://arxiv.org/abs/2506.00466

M3ANet: Multi-scale and Multi-Modal Alignment Network for Brain-Assisted Target Speaker Extraction
The brain-assisted target speaker extraction (TSE) aims to extract the attended speech from mixed speech by utilizing the brain neural activities, for example Electroencephalography (EEG). However, existing models overlook the issue of temporal misalignment between speech and EEG modalities, which hampers TSE performance. In addition, the speech encoder in current models typically uses basic temporal operations (e.g., one-dimensional convolution), which are unable to effectively extract target …

"Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task"
https://doi.org/10.48550/arXiv.2506.08872
"[…] While LLMs offer immediate convenience, our findings highlight potential cognitive costs. Over four mont…

A look at Australian startup Cortical Labs' CL1, billed as the first code-deployable biological computer, with 115 units shipping this summer at $35K each (Shannon Cuthrell/IEEE Spectrum)
https://spectrum.ieee.org/biological-computer-for-sale

Human Brain Cells on a Chip for Sale

World-first biocomputing platform hits the market

Wissenschaftler:innen haben herausgefunden: Wer ChatGPT oder andere Bullshit-Generatoren nutzt, verblödet innerhalb kurzer Zeit.
#LLM

This https://arxiv.org/abs/2506.00691 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Optimizing Sensory Neurons: Nonlinear Attention Mechanisms for Accelerated Convergence in Permutation-Invariant Neural Networks for Reinforcement Learning
Training reinforcement learning (RL) agents often requires significant computational resources and extended training times. To address this, we build upon the foundation laid by Google Brain's Sensory Neuron, which introduced a novel neural architecture for reinforcement learning tasks that maintained permutation in-variance in the sensory neuron system. While the baseline model demonstrated significant performance improvements over traditional approaches, we identified opportunities to enhance…

Two cartoonists, Joe Dworetzky at Bay City News and Pulitzer-winner Mark Fiore, describe how generative AI tools can assist in, not replace, their work (Andrew Deck/Nieman Lab)
https://www.niemanlab.org/2025/06/i-dont-w

This https://arxiv.org/abs/2505.21185 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csPF_…

Constructive community race: full-density spiking neural network model drives neuromorphic computing
The local circuitry of the mammalian brain is a focus of the search for generic computational principles because it is largely conserved across species and modalities. In 2014 a model was proposed representing all neurons and synapses of the stereotypical cortical microcircuit below $1\,\text{mm}^2$ of brain surface. The model reproduces fundamental features of brain activity but its impact remained limited because of its computational demands. For theory and simulation, however, the model was …

FrankenBot: Brain-Morphic Modular Orchestration for Robotic Manipulation with Vision-Language Models
Shiyi Wang, Wenbo Li, Yiteng Chen, Qingyao Wu, Huiping Zhuang
https://arxiv.org/abs/2506.21627

FrankenBot: Brain-Morphic Modular Orchestration for Robotic Manipulation with Vision-Language Models
Developing a general robot manipulation system capable of performing a wide range of tasks in complex, dynamic, and unstructured real-world environments has long been a challenging task. It is widely recognized that achieving human-like efficiency and robustness manipulation requires the robotic brain to integrate a comprehensive set of functions, such as task planning, policy generation, anomaly monitoring and handling, and long-term memory, achieving high-efficiency operation across all funct…

This https://arxiv.org/abs/2412.12106 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

The Syncytial Mesh Model: A Biophysical Framework for Scale-Dependent Coherence in the Brain
The brain-mesh model introduces a novel three-layered architecture that integrates local and macro-regional connectivity with an underlying, mesh-inspired network layer. This foundational mesh layer, based on metallic mesh structures, spans the entire brain and generates interference patterns, noise, and resonance effects that modulate both local and global neural dynamics. The fused model goes beyond traditional connectivity frameworks by providing a unified explanation for phenomena such as b…

"For more than half a century, Argentina has tried as hard as it could to push intellectuals out of the country, committing a slow institutionalized suicide. This almost imperceptible rotting process is at the root of the decadence of what was considered one of the richest and most advanced countries at the beginning of the 20th century."
Watching the US repeating this pattern in real time is unbearable yet completely predictable.

The Argentine Brain Drain
Argentina is currently experiencing a brain drain so strong that it made the headlines on Swiss television.

„While LLMs offer immediate convenience, our findings highlight potential cognitive costs. Over four months, #LLM users consistently underperformed at neural, linguistic, and behavioral levels.“ #AI

This https://arxiv.org/abs/2505.07592 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Neural Signatures Within and Between Chess Puzzle Solving and Standard Cognitive Tasks for Brain-Computer Interfaces: A Low-Cost Electroencephalography Study
Consumer-grade electroencephalography (EEG) devices show promise for Brain-Computer Interface (BCI) applications, but their efficacy in detecting subtle cognitive states remains understudied. We developed a comprehensive study paradigm which incorporates a combination of established cognitive tasks (N-Back, Stroop, and Mental Rotation) and adds a novel ecological Chess puzzles task. We tested our paradigm with the MUSE 2, a low-cost consumer-grade EEG device. Using linear mixed-effects modeling…

Sleep Brain and Cardiac Activity Predict Cognitive Flexibility and Conceptual Reasoning Using Deep Learning
Boshra Khajehpiri, Eric Granger, Massimiliano de Zambotti, Fiona C. Baker, Mohamad Forouzanfar
https://arxiv.org/abs/2506.00279

Sleep Brain and Cardiac Activity Predict Cognitive Flexibility and Conceptual Reasoning Using Deep Learning
Despite extensive research on the relationship between sleep and cognition, the connection between sleep microstructure and human performance across specific cognitive domains remains underexplored. This study investigates whether deep learning models can predict executive functions, particularly cognitive adaptability and conceptual reasoning from physiological processes during a night's sleep. To address this, we introduce CogPSGFormer, a multi-scale convolutional-transformer model designed t…

The Hidden Connection Between Comedy and Depression
https://www.psychologytoday.com/us/blog/parenting-from-a-neuroscience-perspective/202506/the-hidde…

The Hidden Connection Between Comedy and Depression
Discover the surprising science behind why so many comedians battle depression—and how humor can both heal and hurt.

Robust brain age estimation from structural MRI with contrastive learning
Carlo Alberto Barbano, Benoit Dufumier, Edouard Duchesnay, Marco Grangetto, Pietro Gori
https://arxiv.org/abs/2507.01794

Robust brain age estimation from structural MRI with contrastive learning
Estimating brain age from structural MRI has emerged as a powerful tool for characterizing normative and pathological aging. In this work, we explore contrastive learning as a scalable and robust alternative to supervised approaches for brain age estimation. We introduce a novel contrastive loss function, $\mathcal{L}^{exp}$, and evaluate it across multiple public neuroimaging datasets comprising over 20,000 scans. Our experiments reveal four key findings. First, scaling pre-training on diverse…

How can someone be this brain dead!
https://nitter.net/RealPNavarro/status/1941135588201230621#m

A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning for Any Atlas and Disorder
Xinxu Wei, Kanhao Zhao, Yong Jiao, Lifang He, Yu Zhang
https://arxiv.org/abs/2506.02044

A Brain Graph Foundation Model: Pre-Training and Prompt-Tuning for Any Atlas and Disorder
As large language models (LLMs) continue to revolutionize AI research, there is a growing interest in building large-scale brain foundation models to advance neuroscience. While most existing brain foundation models are pre-trained on time-series signals or region-of-interest (ROI) features, we propose a novel graph-based pre-training paradigm for constructing a brain graph foundation model. In this paper, we introduce the Brain Graph Foundation Model, termed BrainGFM, a unified framework that …

fly_hemibrain: Fly hemibrain (2020)
A synaptic map of the hemibrain connectome of fruit fly Drosophila melanogaster. Nodes are neurons, and edges are synaptic connections, traced individually from brain image sections using EM reconstruction techniques. Neurons are labeled by their type. Edges are annotated by the connection strength between the neurons.
This network has 21739 nodes and 4259624 edges.
Tags: Biological, Connectome, Weighted, Metadata

🇺🇦 Auf radioeins läuft...
Tikhet:
🎵 I Buried My Brain In El Segundo
#NowPlaying #Tikhet
https://eskapadenmusik.bandcamp.com/track/i-buried-my-brain-in-el-segundo
https://open.spotify.com/track/2Cq60npcpfq6YAlh0Nndkt

New study on the effects of LLM use (in this case on essay writing):
https://arxiv.org/abs/2506.08872
Quote:
"LLM users also struggled to accurately quote their own work. While LLMs offer immediate convenience, our findings highlight potential cognitive costs. Over four month…

Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task
This study explores the neural and behavioral consequences of LLM-assisted essay writing. Participants were divided into three groups: LLM, Search Engine, and Brain-only (no tools). Each completed three sessions under the same condition. In a fourth session, LLM users were reassigned to Brain-only group (LLM-to-Brain), and Brain-only users were reassigned to LLM condition (Brain-to-LLM). A total of 54 participants took part in Sessions 1-3, with 18 completing session 4. We used electroencephalo…

To ChatGPT: I'd like to see neuroscientists nudge the human brain toward brain states that blend lucid dreaming and visual-to-auditory sensory substitution, for veridical and vivid mental imagery for the totally blind, making sensory substitution functionally and perceptually equivalent to low vision. https://

I'm afraid this is true. I already struggle to raise enough money to keep the very talented young scientists I have working with me (from many different countries already), finding funding for more will be difficult, and why should US scientists essentially queue jump just because of their nationality ? I know that sounds harsh, I have very good US colleagues, but I have to be fair to all, regardless of where they come from. OTOH, if you are a US scientist and you are interested in exploring possibilities in Denmark, give me a shout and we'll see what we can do.
https://mastodon.world/@davidho/114620044303457868
davidho@mastodon.world - Unless you’re a Nobel laureate, the brain drain will be away from science and not to other countries.
https://www.nytimes.com/2025/06/03/us/trump-federal-spending-grants-scientists-leaving.html?unlocked_article_code=1.ME8.sh9q.qy7jX0S1ZrBa&smid=url-share

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding
Yuchen Zhou, Jiamin Wu, Zichen Ren, Zhouheng Yao, Weiheng Lu, Kunyu Peng, Qihao Zheng, Chunfeng Song, Wanli Ouyang, Chao Gou
https://arxiv.org/abs/2506.23075

CSBrain: A Cross-scale Spatiotemporal Brain Foundation Model for EEG Decoding
Understanding and decoding brain activity from electroencephalography (EEG) signals is a fundamental challenge in neuroscience and AI, with applications in cognition, emotion recognition, diagnosis, and brain-computer interfaces. While recent EEG foundation models advance generalized decoding via unified architectures and large-scale pretraining, they adopt a scale-agnostic dense modeling paradigm inherited from NLP and vision. This design neglects a core property of neural activity: cross-scal…

Brain-Like Processing Pathways Form in Models With Heterogeneous Experts
Jack Cook, Danyal Akarca, Rui Ponte Costa, Jascha Achterberg
https://arxiv.org/abs/2506.02813

Brain-Like Processing Pathways Form in Models With Heterogeneous Experts
The brain is made up of a vast set of heterogeneous regions that dynamically organize into pathways as a function of task demands. Examples of such pathways can be seen in the interactions between cortical and subcortical networks during learning. This raises the question of how exactly brain regions organize into these dynamic groups. In this work, we use an extension of the Heterogeneous Mixture-of-Experts architecture, to show that heterogeneous regions do not form processing pathways by the…

My day just took a nosedive because some fascist jerk is celebrating a bill landing on his desk!
Honestly, it’s wild how people still put their faith in the same old power games when real change comes from people coming together, running things themselves, and kicking the fascists out of the picture.
Being autistic, I usually struggle to get what people mean, but Rudolf Rocker said some real shit that even my autistic brain understands.

DMCIE: Diffusion Model with Concatenation of Inputs and Errors to Improve the Accuracy of the Segmentation of Brain Tumors in MRI Images
Sara Yavari, Rahul Nitin Pandya, Jacob Furst
https://arxiv.org/abs/2507.00983

DMCIE: Diffusion Model with Concatenation of Inputs and Errors to Improve the Accuracy of the Segmentation of Brain Tumors in MRI Images
Accurate segmentation of brain tumors in MRI scans is essential for reliable clinical diagnosis and effective treatment planning. Recently, diffusion models have demonstrated remarkable effectiveness in image generation and segmentation tasks. This paper introduces a novel approach to corrective segmentation based on diffusion models. We propose DMCIE (Diffusion Model with Concatenation of Inputs and Errors), a novel framework for accurate brain tumor segmentation in multi-modal MRI scans. We e…

#Remepy's mobile app shown to rewire brain, modulate immune system and improve mood in adults with subjective cognitive decline

Neuralink raised a $650M Series E from ARK Invest, Founders Fund, G42, Human Capital, Sequoia, Thrive, and others; it was reportedly valued at ~$9B pre-money (Maxwell Zeff/TechCrunch)
https://techcrunch.com/2025/06/02/elon-musks-neuralink-closes-a-65…

Elon Musk's Neuralink closes a $650M Series E | TechCrunch
Elon Musk's brain chip implant startup Neuralink raised a $650 million Series E funding round, the company announced.

fly_larva: Drosophila larva brain (2023)
A complete synaptic map of the brain connectome of the larva of the fruit fly Drosophila melanogaster. Nodes are neurons, and edges are synaptic connections, traced individually from brain image sections using three-dimensional electron microscopy–based reconstruction. Node metadata include the neuron hempisphere, hemispherical homologue, cell type, annotations, and inferred cluster. Edge metadata include the type of interaction (`'aa'`,…

Industrial brain: a human-like autonomous neuro-symbolic cognitive decision-making system
Junping Wang, Bicheng Wang, Yibo Xuea, Yuan Xie
https://arxiv.org/abs/2506.23926

Industrial brain: a human-like autonomous neuro-symbolic cognitive decision-making system
Resilience non-equilibrium measurement, the ability to maintain fundamental functionality amidst failures and errors, is crucial for scientific management and engineering applications of industrial chain. The problem is particularly challenging when the number or types of multiple co-evolution of resilience (for example, randomly placed) are extremely chaos. Existing end-to-end deep learning ordinarily do not generalize well to unseen full-feld reconstruction of spatiotemporal co-evolution stru…

Identifying interactions across brain areas while accounting for individual-neuron dynamics with a Transformer-based variational autoencoder
Qi Xin, Robert E. Kass
https://arxiv.org/abs/2506.02263

Identifying interactions across brain areas while accounting for individual-neuron dynamics with a Transformer-based variational autoencoder
Advances in large-scale recording technologies now enable simultaneous measurements from multiple brain areas, offering new opportunities to study signal transmission across interacting components of neural circuits. However, neural responses exhibit substantial trial-to-trial variability, often driven by unobserved factors such as subtle changes in animal behavior or internal states. To prevent evolving background dynamics from contaminating identification of functional coupling, we developed …

Go for a Neuralink Blindsight brain implant, or opt for cheaper and replaceable smart glasses? #BCI

This https://arxiv.org/abs/2501.03836 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

SCC-YOLO: An Improved Object Detector for Assisting in Brain Tumor Diagnosis
Brain tumors can lead to neurological dysfunction, cognitive and psychological changes, increased intracranial pressure, and seizures, posing significant risks to health. The You Only Look Once (YOLO) series has shown superior accuracy in medical imaging object detection. This paper presents a novel SCC-YOLO architecture that integrates the SCConv module into YOLOv9. The SCConv module optimizes convolutional efficiency by reducing spatial and channel redundancy, enhancing image feature learning…

Neuralink raises $600 million in funding, valuing brain-computer interface company at $9 billion https://www.ainvest.com/news/neuralink-raises-600-million-funding-valuing-brain-computer-interface-company-9-billio…

Neuralink raises $600 million in funding, valuing brain-computer interface company at $9 billion
Neuralink raises $600 million in funding, valuing brain-computer interface company at $9 billion

To Grok: "Why is Neuralink so vague about their Neuralink Blindsight brain implant, describing it as technology to "generate visual perception" - even unpatterned flashes of light qualify as such?" https://x.com/i/grok/share/vI84HuktzHHh093wRbd6YzHXl …

Mapping Brain-Behavior Correlations in Autism Using Heat Kernel Smoothing
Moo K. Chung, Kim M. Dalton, Daniel J. Kelley, Richard J. Davidson
https://arxiv.org/abs/2507.00473

Mapping Brain-Behavior Correlations in Autism Using Heat Kernel Smoothing
This paper presents a streamlined image analysis framework for correlating behavioral measures to anatomical measures on the cortex and detecting the regions of abnormal brain-behavior correlates. We correlated a facial emotion discrimination task score and its response time to cortical thickness measurements in a group of high functioning autistic subjects. Many previous correlation studies in brain imaging neglect to account for unwanted age effect and other variables and the subsequent stati…

How many peer-reviewed scientific papers exist about the Neuralink Blindsight brain implant for the blind? [Spoiler: 0 at the time of writing] https://pubmed.ncbi.nlm.nih.gov/?term=Neuralink Blindsight&sort=date vs The vOICe

Neuralink Blindsight - Search Results - PubMed
Neuralink Blindsight - Search Results - PubMed

Weak but influential: Nonlinear contributions of structural connectivity to human cognitive abilities and brain functions
Rong Wang, Zhao Chang, Xuechun Liu, Daniel Kristanto, \'Etienne G\'erard Guy Gartner, Xinyang Liu, Mianxin Liu, Ying Wu, Ming Lui, Changsong Zhou
https://arxiv.org/abs/2505.24125

Weak but influential: Nonlinear contributions of structural connectivity to human cognitive abilities and brain functions
Diverse human cognitive abilities are rooted in brain structural connectivity which has weights spanning several orders of magnitude. However, due to false-positive challenges in tractography, weak connectivity has been often treated as noise and ignored - despite its prevalence across mammalian brains. Here we show that weak connectivity significantly predicts human cognitive abilities and supports brain functions through amplification of its small weight in a nonlinear manner. Using the Human…

Waiting for Elon Musk's Neuralink Blindsight brain implant for restoring vision? Devices come and go. Check out the YouTube video about the earlier Dobelle brain implant from 2002 https://www.youtube.com/watch?v=7Uv0lrjKjZM Yes, here too circumventing the need for FDA approva…

Network structural change point detection and reconstruction for balanced neuronal networks
Kai Chen, Mingzhang Wang, Songting Li, Douglas Zhou
https://arxiv.org/abs/2507.02450

Network structural change point detection and reconstruction for balanced neuronal networks
Understanding brain dynamics and functions critically depends on knowledge of the network connectivity among neurons. However, the complexity of brain structural connectivity, coupled with continuous modifications driven by synaptic plasticity, makes its direct experimental measurement particularly challenging. Conventional connectivity inference methods based on neuronal recordings often assumes a static underlying structural connectivity and requires stable statistical features of neural acti…

Generalizable, real-time neural decoding with hybrid state-space models
Avery Hee-Woon Ryoo, Nanda H. Krishna, Ximeng Mao, Mehdi Azabou, Eva L. Dyer, Matthew G. Perich, Guillaume Lajoie
https://arxiv.org/abs/2506.05320

Generalizable, real-time neural decoding with hybrid state-space models
Real-time decoding of neural activity is central to neuroscience and neurotechnology applications, from closed-loop experiments to brain-computer interfaces, where models are subject to strict latency constraints. Traditional methods, including simple recurrent neural networks, are fast and lightweight but often struggle to generalize to unseen data. In contrast, recent Transformer-based approaches leverage large-scale pretraining for strong generalization performance, but typically have much l…

Neuralink Blindsight brain implant or The vOICe vision BCI? Informed consent means that Neuralink's blind patients at least know of The vOICe vision BCI #BCI

This https://arxiv.org/abs/2501.09805 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Multiplex Nodal Modularity: A novel network metric for the regional analysis of amnestic mild cognitive impairment during a working memory binding task
Modularity is a well-established concept for assessing community structures in various single and multi-layer networks, including those in biological and social domains. Brain networks are known to exhibit community structure at local, meso, and global scale. However, modularity is limited as a metric to a global scale describing the overall strength of community structure, overlooking important variations in community structure at node level. To address this limitation, we extended modularity …

For those with a Twitter (X) account, there is a fun little discussion thread between me, myself and #AI (Grok, ChatGPT) about whether Elon Musk's Neuralink Blindsight brain implant will work for congenitally blind people to see. https://

Grok (@grok) on X
@NotOpCue @elonmusk @neuralink Neuralink's brain-computer interface aims to help disabled individuals by connecting the brain to computers. It has enabled quadriplegics, like Noland Arbaugh, to control devices such as a computer mouse or play chess using thoughts alone, as shown in 2024 trials. The Blindsight

Low-intensity brain stimulation may restore neuron health in Alzheimer's disease https://spie.org/news/low-intensity-brain-stimulation-may-restore-neuron-health-in-alzheimers-disease

This https://arxiv.org/abs/2501.02333 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

On The Causal Network Of Face-selective Regions In Human Brain During Movie Watching
Understanding the causal interactions in some brain tasks, such as face processing, remains a challenging and ambiguous process for researchers. In this study, we address this issue by employing a novel causal discovery method -Directed Acyclic Graphs via M-matrices for Acyclicity (DAGMA)- to investigate the causal structure of the brain's face-selective network and gain deeper insights into its mechanism. Using fMRI data of natural movie stimuli, we extract causal network of face-selective reg…

Autonomous Behavior and Whole-Brain Dynamics Emerge in Embodied Zebrafish Agents with Model-based Intrinsic Motivation
Reece Keller, Alyn Tornell, Felix Pei, Xaq Pitkow, Leo Kozachkov, Aran Nayebi
https://arxiv.org/abs/2506.00138

Autonomous Behavior and Whole-Brain Dynamics Emerge in Embodied Zebrafish Agents with Model-based Intrinsic Motivation
Autonomy is a hallmark of animal intelligence, enabling adaptive and intelligent behavior in complex environments without relying on external reward or task structure. Existing reinforcement learning approaches to exploration in sparse reward and reward-free environments, including class of methods known as intrinsic motivation, exhibit inconsistent exploration patterns and thus fail to produce robust autonomous behaviors observed in animals. Moreover, systems neuroscience has largely overlooke…

(YouTube playlist) Some 15 years after receiving his Dobelle brain implant for restoring vision, Jens ("Patient Alpha") tried The vOICe vision BCI https://www.youtube.com/playlist?list=PLmrvukzbS44SMVxMLRpd-_iTpy_Cj5liB Will Neuralink Blinds…

[OT] NYT: U.S. scientists warn that Trump's cuts will set off a brain drain https://www.nytimes.com/2025/06/03/us/trump-federal-spending-grants-scientists-leaving.html (archived at

As the Trump Administration Slashes Federal Spending, Scientists Consider Leaving the U.S.
As the United States cuts budgets and restricts immigration, China and Europe are offering researchers money and stability.

"Schrimpf and his colleagues trained a model to generate sentences that, when read, would activate or suppress neural activity in the reader’s brain," exerting "noninvasive control over high-level brain activity" https://www.quantamagazine.org…

How AI Models Are Helping to Understand — and Control — the Brain | Quanta Magazine
Martin Schrimpf is crafting bespoke AI models that can induce control over high-level brain activity.

The curse of The vOICe is that it is so mature, safe, globally available and affordable that it is of little interest to investors (big money) or mass media (hype). Better stick proprietary electrodes into the brain: it may cause seizures, hemorrhages, fail beyond repair, etc.
ChatGPT: "It's a curse for The vOICe — but it's a curse that points to its strengths."

ChatGPT - Rozdíl TTL vs CMOS
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