Tootfinder

👁️ Natural brain opioids help us 'see the bigger picture' after rewards
#bran

Natural brain opioids help us 'see the bigger picture' after rewards
Feeling good doesn't just lift our mood—it also helps us stay flexible and resilient. A new study by an international team of neuroscientists shows that natural brain opioids released after rewards play a key role in broadening attention, offering fresh insights into stress, cognition, and well-being.

WIRED: This startup wants to put its brain-computer interface in the Apple Vision Pro https://www.wired.com/story/this-startup-wants-to-put-its-brain-computer-interface-in-the-apple-vision-pro/ Archived at

This Startup Wants to Put Its Brain-Computer Interface in the Apple Vision Pro
California-based Cognixion is launching a clinical trial to allow paralyzed patients with speech disorders the ability to communicate without an invasive brain implant.

Scientists Reveal Biological Basis of Long COVID Brain Fog #covid
https://scitechdaily.com/scientists-finally-reveal-biological-basis-of-long-covid-brain-fog…

Scientists Finally Reveal Biological Basis of Long COVID Brain Fog
Researchers employed a specialized brain imaging technique to identify a potential biomarker and therapeutic target for Long COVID. More than four years after the onset of the COVID-19 pandemic, scientists are still working to fully understand the lingering effects of infection with SARS-CoV-2. O

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'`,…

#TheOatmeal #comics #mentalhealth
https://

I Like To Move It - Computation Instead of Data in the Brain
Fabian Czappa, Marvin Kaster, Felix Wolf
https://arxiv.org/abs/2509.26193 https://arxiv.org/pd…

I Like To Move It - Computation Instead of Data in the Brain
The detailed functioning of the human brain is still poorly understood. Brain simulations are a well-established way to complement experimental research, but must contend with the computational demands of the approximately $10^{11}$ neurons and the $10^{14}$ synapses connecting them, the network of the latter referred to as the connectome. Studies suggest that changes in the connectome (i.e., the formation and deletion of synapses, also known as structural plasticity) are essential for critical…

Apparently your brain 'looks older' when you sleep poorly. Man, my brain's gotta look like, 593 fuckin years old

A Fast and Precise Method for Searching Rectangular Tumor Regions in Brain MR Images
Hidenori Takeshima, Shuki Maruyama
https://arxiv.org/abs/2510.00505 https://

A Fast and Precise Method for Searching Rectangular Tumor Regions in Brain MR Images
Purpose: To develop a fast and precise method for searching rectangular regions in brain tumor images. Methods: The authors propose a new method for searching rectangular tumor regions in brain MR images. The proposed method consisted of a segmentation network and a fast search method with a user-controllable search metric. As the segmentation network, the U-Net whose encoder was replaced by the EfficientNet was used. In the fast search method, summed-area tables were used for accelerating sums…

Analysis of a Spatialized Brain-Body-Environment System
Denizhan Pak, Quan Le Thien, Christopher J. Agostino
https://arxiv.org/abs/2509.25640 https://arxiv…

Analysis of a Spatialized Brain-Body-Environment System
The brain-body-environment framework studies adaptive be- havior through embodied and situated agents, emphasizing interactions between brains, biomechanics, and environmen- tal dynamics. However, many models often treat the brain as a network of coupled ordinary differential equations (ODEs), neglecting finer spatial properties which can not only increase model complexity but also constrain observable neural dy- namics. To address this limitation, we propose a spatially ex- tended approach usi…

The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain
Adrian Kosowski, Przemys{\l}aw Uzna\'nski, Jan Chorowski, Zuzanna Stamirowska, Micha{\l} Bartoszkiewicz
https://arxiv.org/abs/2509.26507

The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain
The relationship between computing systems and the brain has served as motivation for pioneering theoreticians since John von Neumann and Alan Turing. Uniform, scale-free biological networks, such as the brain, have powerful properties, including generalizing over time, which is the main barrier for Machine Learning on the path to Universal Reasoning Models. We introduce `Dragon Hatchling' (BDH), a new Large Language Model architecture based on a scale-free biologically inspired network of \$…

reFUGeeS From Beyond – Don’t Microwaves Your Brain
@…
https://www.clongclongmoo.org/2025/11/30/refugees-from-beyond-…

Israel unveils tax incentives to reverse tech brain drain that increased during the war in Gaza and tax breaks for investors in Israeli funds and tech firms (James Shotter/Financial Times)
https://www.ft.com/content/463614ab-a26d-45b3-a366-1c8058f32973

Has anyone already looked into brain damage from having to listen to endlessly repeated messages in waiting loops of call centers?

budapest_connectome: Budapest Reference Connectome 3.0
A parameterizable consensus brain graph, derived from connectomes of 477 people, each computed from MRI datasets of the Human Connectome Project. Nodes are brain regions, and edges are weighted by the number of "tracks" that run between two nodes, as well as fiber length, fractional anisotropy and the number of occurrences in each of the 477 individuals.
This network has 1015 nodes and 54480 edges.
Tags: Biolo…

🥓 Brain health could be improved with high-fat, low-carb diet, study finds
#brain

Brain health could be improved with high-fat, low-carb diet, study finds
There may be a way to protect brain energy to preserve cognition—and the secret could lie on your plate. Think fish and seafood, meat, non-starchy vegetables, berries, nuts, seeds, eggs and even high-fat dairy products.

Bridging the behavior-neural gap: A multimodal AI reveals the brain's geometry of emotion more accurately than human self-reports
Changde Du, Yizhuo Lu, Zhongyu Huang, Yi Sun, Zisen Zhou, Shaozheng Qin, Huiguang He
https://arxiv.org/abs/2509.24298

Bridging the behavior-neural gap: A multimodal AI reveals the brain's geometry of emotion more accurately than human self-reports
The ability to represent emotion plays a significant role in human cognition and social interaction, yet the high-dimensional geometry of this affective space and its neural underpinnings remain debated. A key challenge, the `behavior-neural gap,' is the limited ability of human self-reports to predict brain activity. Here we test the hypothesis that this gap arises from the constraints of traditional rating scales and that large-scale similarity judgments can more faithfully capture the brain'…

from my link log —
The race to create a perfect lie detector, and the dangers of succeeding.
https://www.theguardian.com/technology/2019/sep/05/the-race-to-create-a-perfect-lie-detector-and-the-dangers-of-succee…

https://www.the-independent.com/tech/paralysed-man-brain-implant-beer-b2044610.html

The caterpillar turns to mush on its way to becoming a butterfly, but we can't hope for the same from Trump's brain.

WaveMind: Towards a Conversational EEG Foundation Model Aligned to Textual and Visual Modalities
Ziyi Zeng, Zhenyang Cai, Yixi Cai, Xidong Wang, Junying Chen, Rongsheng Wang, Yipeng Liu, Siqi Cai, Benyou Wang, Zhiguo Zhang, Haizhou Li
https://arxiv.org/abs/2510.00032

WaveMind: Towards a Conversational EEG Foundation Model Aligned to Textual and Visual Modalities
Electroencephalography (EEG) interpretation using multimodal large language models (MLLMs) offers a novel approach for analyzing brain signals. However, the complex nature of brain activity introduces critical challenges: EEG signals simultaneously encode both cognitive processes and intrinsic neural states, creating a mismatch in EEG paired-data modality that hinders effective cross-modal representation learning. Through a pivot investigation, we uncover complementary relationships between the…

Latent Representation Learning from 3D Brain MRI for Interpretable Prediction in Multiple Sclerosis
Trinh Ngoc Huynh, Nguyen Duc Kien, Nguyen Hai Anh, Dinh Tran Hiep, Manuela Vaneckova, Tomas Uher, Jeroen Van Schependom, Stijn Denissen, Tran Quoc Long, Nguyen Linh Trung, Guy Nagels
https://arxiv.org/abs/2510.00051

Latent Representation Learning from 3D Brain MRI for Interpretable Prediction in Multiple Sclerosis
We present InfoVAE-Med3D, a latent-representation learning approach for 3D brain MRI that targets interpretable biomarkers of cognitive decline. Standard statistical models and shallow machine learning often lack power, while most deep learning methods behave as black boxes. Our method extends InfoVAE to explicitly maximize mutual information between images and latent variables, producing compact, structured embeddings that retain clinically meaningful content. We evaluate on two cohorts: a lar…

Taking notes from the successes and failures of the Russian revolution, a group of anarchists (including Nestor Makhno, a Ukrainian anarchist militant who was critical in defeating the Tzar's army and who later also fought the Red Army) wrote a document titled the "Organizational Platform of the Libertarian Communists." This document came to be known as "The Platform." It remains one of the most important first-hand revolutionary documents, outlining a clear revolutionary plan.
I've taken this, the Viable System Model from cybernetics, and my own organizing experience, to describe an organization to confront the current set of crises.
This continues to build on the stuff I have been writing, but it's a lot less high level theory and a lot more specific.
https://anarchoccultism.org/building-zion/a-solarpunk-fractal-microservices
As always, editing notes (typos, grammar, spelling, etc) are always welcome, as are any questions. My ADHD brain tends to go a lot faster than anything else, so I have a tendency to drop words and have a lot of trouble catching them later. Between my ADHD and mild dyslexia, it can be pretty hard for me to catch when autocorrect gives me the wrong word.
A lot of folks have already been super helpful in offering their editing support, and I'm really grateful. Writing this has felt collaborative, and it should. On the one hand this comes from my own experience and research, but on the other I'm also voicing things that have come from conversations here. This has all been a bit of my voice and a bit of the federated world, and I'm really appreciating that.

Identification of post-COVID-19 symptoms using brain structural MRI features: a machine learning approach
Abdi Reza
https://arxiv.org/abs/2510.00195 https://

Identification of post-COVID-19 symptoms using brain structural MRI features: a machine learning approach
Identifying long COVID symptoms is a challenging task, primarily due to the reliance on patient reports and the lack of disease specific biomarkers. The objective of this study is to identify individual long COVID symptoms, post COVID 19 conditions (PCC) participants, and participants' sex, and to identify the associated brain regions by developing an explainable machine learning algorithm using brain MRI features. This study implements secondary analysis using an anonymized, publicly accessibl…

#Biodrones: Russian company successfully tests remote-controlled pigeons with brain implants https://www.notebookcheck.net/Company-succes…

Company successfully tests remote-controlled pigeons with brain implants
A Russian company has announced it has achieved something unprecedented — making the Birds Aren't Real satirical conspiracy a reality. The company has announced it has achieved remote control of pigeons using brain implants.

I recommend holding your breath until you give yourself brain damage

Dark Signals in the Brain: Augment Brain Network Dynamics to the Complex-valued Field
Jiangnan Zhang, Chengyuan Qian, Wenlian Lu, Gustavo Deco, Weiyang Ding, Jianfeng Feng
https://arxiv.org/abs/2509.24715

Dark Signals in the Brain: Augment Brain Network Dynamics to the Complex-valued Field
Recordings of brain activity, such as functional MRI (fMRI), provide low-dimensional, indirect observations of neural dynamics evolving in high-dimensional, unobservable spaces. Embedding observed brain dynamics into a higher-dimensional representation may help reveal functional organization, but precisely how remains unclear. Hamiltonian mechanics suggests that, by introducing an additional dimension of conjugate momenta, the dynamical behaviour of a conservative system can be formulated in a …

Crosslisted article(s) found for cs.CV. https://arxiv.org/list/cs.CV/new
[2/2]:
- A Fast and Precise Method for Searching Rectangular Tumor Regions in Brain MR Images
Hidenori Takeshima, Shuki Maruyama

look, my conscious brain *knows* that the death of google reader and the death of XSLT are unrelated…
…but my subconscious brain has questions

UnderwaterVLA: Dual-brain Vision-Language-Action architecture for Autonomous Underwater Navigation
Zhangyuan Wang, Yunpeng Zhu, Yuqi Yan, Xiaoyuan Tian, Xinhao Shao, Meixuan Li, Weikun Li, Guangsheng Su, Weicheng Cui, Dixia Fan
https://arxiv.org/abs/2509.22441

UnderwaterVLA: Dual-brain Vision-Language-Action architecture for Autonomous Underwater Navigation
This paper presents UnderwaterVLA, a novel framework for autonomous underwater navigation that integrates multimodal foundation models with embodied intelligence systems. Underwater operations remain difficult due to hydrodynamic disturbances, limited communication bandwidth, and degraded sensing in turbid waters. To address these challenges, we introduce three innovations. First, a dual-brain architecture decouples high-level mission reasoning from low-level reactive control, enabling robust o…

@…
“This virus causes system-wide injury that accumulates with each infection: brain damage that undermines decision-making, immune dysregulation leading to infections like Kaposi sarcoma and tuberculosis in lymph nodes — the very signatures of HIV-AIDS now rising again — and cardiac injury with accelerated aging,” explains Bar-Yam.

Contract with the Devil Himself.
Imagine waking up one random morning and deciding you want to become a pilot. Or a firefighter. In my small brain, that’s a normal dream.
But imagine you wake up and decide to become a dentist!
Any empathetic person on this flying rock would never willingly choose one of those Satan-worshipping professions. Hurting people all day long, using the creepiest tools the world has to offer — high-pitched drills, that little vacuum in the corner of y…

📉 The loser's brain: How neuroscience controls social behavior
#brain

The loser's brain: How neuroscience controls social behavior
Social hierarchies are everywhere—think of high school dramas, where the athletes are portrayed as the most popular, or large companies, where the CEO makes the important decisions. Such hierarchies aren't just limited to humans, but span the animal kingdom, with dominant individuals getting faster food access, higher mating priority, and bigger or better territories. While it's long been thought that winning or losing can influence the position of an individual within a social hierarchy, the…

Yarg. My good people, my fellow Musk-loathers, arrrgh
ARGH
•••You cannot ask an LLM to explain its own programming.•••
It doesn’t work that way. It’s like asking a human to explain how their own brain works because they must know because they’re using it to think.
1/ https://newsie.social/@servelan/115470936821152884

What brain privacy will look like in the age of neurotech https://therecord.media/what-brain-privacy-will-look-like

This is a good thread on Bluesky wrt to enabler-brain and why some people (who you'd think are decent people) suddenly, out of the blue defend objectively terrible people and behavior.
(The reason is it makes them feel better—even when they know they side with literal racists.)
https://bsky.app/profile/amyhoy.bsky.social/post/3lzytgqdqbk2l

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'`,…

Structural Heterogeneity of the Drosophila Brain Network
Xiaoyu Zhang, Pengcheng Yang, Yifei Zhang, Bowei Qin, Qiang Luo, Wei Lin, Xin Lu
https://arxiv.org/abs/2509.26019 https:…

Structural Heterogeneity of the Drosophila Brain Network
Decoding the heterogeneity of biological neural systems is key to understanding the nervous system's complex dynamical behaviors. This study analyzes the comprehensive Drosophila brain connectome, which is the most recent data set, containing over 130,000 neurons and 50 million synapses. We conducted meticulous analyses of both network and spatial structure. Our findings reveal significant heterogeneity in network properties and distinct spatial clustering across functional regions. Besides, ou…

The excited miniature pilot behind the controls in the centre of my brain: "This makes me wanna learn Chinese!" ->
Quick and Dirty Introduction to Traditional and Simplified Chinese Transliteration – Potterglot
https://www.potterglot.net/qui…

I don't want to:
* Work on "AI"
* Write software that ultimately exists to abuse its users
* Dogmatically follow patterns assumed to be "the way it's done"
I want to:
* Actively use my brain to craft quality solutions
* Engage with the problem domain!
* Avoid JavaScript, but if I can't, I'll live

It’s been a little bit since I’ve posted a #music link, so… this is the #earworm that’s been keeping me awake for the last couple of nights.
Great song, but my brain hates me.
WARNING: video contains serious strobing.

Every time someone talks about IPFS my brain goes "internet protocol filesystem" and assumes it's something akin to PingFS

A General Theory of Emergent Linearity in Complex Dynamical Systems: The Role of Spatial Averaging and Vanishing Correlations
Sabbir Ahmed, Hafiz Fareed Ahmed, Erfan Nozari
https://arxiv.org/abs/2509.25589

A General Theory of Emergent Linearity in Complex Dynamical Systems: The Role of Spatial Averaging and Vanishing Correlations
Various natural and engineered systems, from urban traffic flow to the human brain, have been described by large-scale networked dynamical systems. Despite their vast differences, these systems are often similar in being comprised of numerous microscopic subsystems with complex nonlinear dynamics and interactions that give rise to diverse emergent macroscopic behaviors. As such, a long-standing question across various fields has been to understand why and how various forms of macroscopic behavi…

🇺🇦 Auf radioeins läuft...
Everyone Says Hi:
🎵 Brain Freeze
#NowPlaying #EveryoneSaysHi
https://open.spotify.com/track/57E8bTfIbarOcrs95hNYI7

Tired - Bran Muffins
Wired - Brain Muffins
#Halloween

Flexion, which is building a full autonomy stack for humanoid robots, raised a $50M Series A from DST Global Partners, NVentures, and others, after a $7M seed (Mary Ann Azevedo/Crunchbase News)
https://news.crunchbase.com/venture/robotic-brain-building-star…

Exclusive: Founded By Ex-Nvidia Researchers, Flexion Lands $50M To Build The 'Brain' for Humanoid Robots
A startup founded by former Nvidia researchers that’s “building the brain for humanoid and human-capable robots,” Flexion has raised $50 million in funding, it tells Crunchbase News exclusively.

Targeted perturbations reveal brain-like local coding axes in robustified, but not standard, ANN-based brain models
Nikolas McNeal, N. Apurva Ratan Murty
https://arxiv.org/abs/2509.23333

Targeted perturbations reveal brain-like local coding axes in robustified, but not standard, ANN-based brain models
Artificial neural networks (ANNs) have become the de facto standard for modeling the human visual system, primarily due to their success in predicting neural responses. However, with many models now achieving similar predictive accuracy, we need a stronger criterion. Here, we use small-scale adversarial probes to characterize the local representational geometry of many highly predictive ANN-based brain models. We report four key findings. First, we show that most contemporary ANN-based brain mo…

Years ago, I saw someone say "My love language is removing tracking links from URLs that I share" and it has lived in my brain rent-free ever since.
Today I realized that if a site I like and want to promote isn't yet on the fediverse, changing utm_medium from (say) email to mastodon might show them a weird result in their google analytics (or whatever) dashboard.
I know, I know, Mastodon is not the fediverse. But it has enough mindshare tha…

It is not difficult to think of military applications of brain implants. It is much more difficult to think of military applications of The vOICe sensory substitution. ChatGPT: https://chatgpt.com/share/692d8dd3-92e4-8004-aa8c-ca38c1fe2a38

ChatGPT - Military applications comparison
Shared via ChatGPT

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

Brain Connectivity Network Structure Learning For Brain Disorder Diagnosis
Dongdong Chen, Linlin Yao, Mengjun Liu, Zhenrong Shen, Yuqi Hu, Zhiyun Song, Shengyu Lu, Qian Wang, Dinggang Shen, Lichi Zhang
https://arxiv.org/abs/2509.16735

Brain Connectivity Network Structure Learning For Brain Disorder Diagnosis
Recent studies in neuroscience highlight the significant potential of brain connectivity networks, which are commonly constructed from functional magnetic resonance imaging (fMRI) data for brain disorder diagnosis. Traditional brain connectivity networks are typically obtained using predefined methods that incorporate manually-set thresholds to estimate inter-regional relationships. However, such approaches often introduce redundant connections or overlook essential interactions, compromising t…

Look: Amazon just got egg all over its face for bringing down half the internet. That happened because they’d already had a huge brain drain.
A company in their position doesn’t lay off 8.5% of corporate because AI is working so well for them. Come on.
https://www.theregister.com/2025/10/20/aws_outage_amazon_brain_drain_corey_quinn/

Exploring Similarity between Neural and LLM Trajectories in Language Processing
Xin Xiao, Kaiwen Wei, Jiang Zhong, Dongshuo Yin, Yu Tian, Xuekai Wei, Mingliang Zhou
https://arxiv.org/abs/2509.24307

Exploring Similarity between Neural and LLM Trajectories in Language Processing
Understanding the similarity between large language models (LLMs) and human brain activity is crucial for advancing both AI and cognitive neuroscience. In this study, we provide a multilinguistic, large-scale assessment of this similarity by systematically comparing 16 publicly available pretrained LLMs with human brain responses during natural language processing tasks in both English and Chinese. Specifically, we use ridge regression to assess the representational similarity between LLM embed…

Australian artist and environmental engineer Tega Brain has created 'Slop Evader', a browser extension search tool for either Firefox or Chrome that evades AI slop by using the Google search API to only return content created before ChatGPT's first public release on November 30, 2022: https://tegabrain.com/Slop-Evader

Theoretical framework of passive ME antenna arrays enabling in-vivo monitoring: A pathway to smart implants
Kalpesh Jaykar, Prasanth Velvaluri, Nian X. Sun, Richard D. James
https://arxiv.org/abs/2509.23520

Theoretical framework of passive ME antenna arrays enabling in-vivo monitoring: A pathway to smart implants
A new brain-computer interface (BCI) technology, deployed through minimally invasive surgery, is changing the way we think about treating severe neurological conditions. The central idea is to place a device called Stentrode in the brain's vasculature, which enables neuromodulation and helps patients regain the ability to communicate. However, in such devices, the battery and electronics are wired and could introduce damage or implant malfunction. In these cases, a Stentrode integrated with mag…

Prototype device restores lost smell by teaching the brain to feel odors https://medicalxpress.com/news/2025-11-prototype-device-lost-brain-odors.html
Substitution of human olfaction by the trigeminal system

Prototype device restores lost smell by teaching the brain to feel odors
There is new hope for people who have lost their smell. Scientists have successfully tested a breakthrough device that lets people detect the presence of certain odors. This innovative system helps them "smell" again by translating odors into feelings (like touch) inside the nose.

🧁 Tiny sugars in the brain disrupt emotional circuits, fueling depression
#brain

Tiny sugars in the brain disrupt emotional circuits, fueling depression
Depression is a serious disorder that disrupts daily life through lethargy, sleep disturbance, and social withdrawal, and also increases the risk of suicide. The number of depression patients has steadily increased over the years, affecting more than 280 million people worldwide as of 2025. Now, researchers have uncovered a new pathological mechanism that could provide clues for the diagnosis and treatment of depression.

Replaced article(s) found for cs.NE. https://arxiv.org/list/cs.NE/new
[1/1]:
- Achieving More Human Brain-Like Vision via Human EEG Representational Alignment
Zitong Lu, Yile Wang, Julie D. Golomb

It's like if the hospital fires your brain surgeon just before your surgery and is claiming it's safer that way

Robust State-space Reconstruction of Brain Dynamics via Bootstrap Monte Carlo SSA
Sir-Lord Wiafe, Carter Hinsley, Vince D. Calhoun
https://arxiv.org/abs/2510.00011 https://

Robust State-space Reconstruction of Brain Dynamics via Bootstrap Monte Carlo SSA
Reconstructing latent state-space geometry from time series provides a powerful route to studying nonlinear dynamics across complex systems. Delay-coordinate embedding provides the theoretical basis but assumes long, noise-free recordings, which many domains violate. In neuroimaging, for example, fMRI is short and noisy; low sampling and strong red noise obscure oscillations and destabilize embeddings. We propose bootstrap Monte Carlo SSA with a red-noise null and bootstrap stability to retain …

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'`,…

Stare-down between a female blind user of The vOICe vision BCI glasses and a male blind recipient of a Neuralink Blindsight brain implant (AI-generated video clip). For the serious part, visit https://artificialvision.com/neuralink.htm

Brain-HGCN: A Hyperbolic Graph Convolutional Network for Brain Functional Network Analysis
Junhao Jia, Yunyou Liu, Cheng Yang, Yifei Sun, Feiwei Qin, Changmiao Wang, Yong Peng
https://arxiv.org/abs/2509.14965

Brain-HGCN: A Hyperbolic Graph Convolutional Network for Brain Functional Network Analysis
Functional magnetic resonance imaging (fMRI) provides a powerful non-invasive window into the brain's functional organization by generating complex functional networks, typically modeled as graphs. These brain networks exhibit a hierarchical topology that is crucial for cognitive processing. However, due to inherent spatial constraints, standard Euclidean GNNs struggle to represent these hierarchical structures without high distortion, limiting their clinical performance. To address this limita…

I'm especially interested in a few things if anyone is willing to help...
1) missing words and simple typos - My ADHD brain skips words coming out and fulls them in when reading, so it's easy for me to make mistakes and hard for me to catch them.
2) questions - I tend to work from a lot of assumed knowledge, collected from all over, and I'm really trying to make my work more accessible. I assume I'm talking about a bunch of stuff most folks don't know, but I don't know which of them come from some rabbit hole I went down and which are more common knowledge.
3) challenges - I get bored when having things explained to me so I have a tendency to keep explanations light... Which can mean I leave out a bunch of critical context or logical steps.

Replaced article(s) found for eess.IV. https://arxiv.org/list/eess.IV/new
[1/1]:
- Brain Tumor Classification on MRI in Light of Molecular Markers
Liu, Yuan, Zeng, Tang, Zhang, Lin, Xu, Huang, Wang

Brain Harmony: A Multimodal Foundation Model Unifying Morphology and Function into 1D Tokens
Zijian Dong, Ruilin Li, Joanna Su Xian Chong, Niousha Dehestani, Yinghui Teng, Yi Lin, Zhizhou Li, Yichi Zhang, Yapei Xie, Leon Qi Rong Ooi, B. T. Thomas Yeo, Juan Helen Zhou
https://arxiv.org/abs/2509.24693

Brain Harmony: A Multimodal Foundation Model Unifying Morphology and Function into 1D Tokens
We present Brain Harmony (BrainHarmonix), the first multimodal brain foundation model that unifies structural morphology and functional dynamics into compact 1D token representations. The model was pretrained on two of the largest neuroimaging datasets to date, encompassing 64,594 T1-weighted structural MRI 3D volumes (~ 14 million images) and 70,933 functional MRI (fMRI) time series. BrainHarmonix is grounded in two foundational neuroscience principles: structure complements function - structu…

Paradromics says it received FDA approval for a human trial of its Connexus brain implant, aimed at restoring speech to those with severe motor impairments (Emily Mullin/Wired)
https://www.wired.com/story/paradromics-gets-fda-approval-to-trial-…

Paradromics Gets FDA Approval to Trial Its Brain Implant in People
The Austin-based startup will test its high-bandwidth device to help restore speech in people with extremely limited movement.

budapest_connectome: Budapest Reference Connectome 3.0
A parameterizable consensus brain graph, derived from connectomes of 477 people, each computed from MRI datasets of the Human Connectome Project. Nodes are brain regions, and edges are weighted by the number of "tracks" that run between two nodes, as well as fiber length, fractional anisotropy and the number of occurrences in each of the 477 individuals.
This network has 1015 nodes and 80270 edges.
Tags: Biolo…

(video) The sound of the Neuralink logo according to The vOICe visual-to-auditory sensory substitution, as a 1-second soundscape, here repeated 10 times https://www.artificialvision.com/neuralink.htm How will blind recipients of a Neuralink Blindsight brain implant perceive this logo?

Improving Virtual Contrast Enhancement using Longitudinal Data
Pierre Fayolle, Alexandre B\^one, No\"elie Debs, Pihlippe Robert, Pascal Bourdon, Remy Guillevin, David Helbert
https://arxiv.org/abs/2510.00418

Improving Virtual Contrast Enhancement using Longitudinal Data
Gadolinium-based contrast agents (GBCAs) are widely used in magnetic resonance imaging (MRI) to enhance lesion detection and characterisation, particularly in the field of neuro-oncology. Nevertheless, concerns regarding gadolinium retention and accumulation in brain and body tissues, most notably for diseases that require close monitoring and frequent GBCA injection, have led to the need for strategies to reduce dosage. In this study, a deep learning framework is proposed for the virtual contr…

💫 Scientists discover how nanoplastics disrupt brain energy metabolism
#brain

Scientists discover how nanoplastics disrupt brain energy metabolism
Scientists from the Trinity Biomedical Sciences Institute (TBSI) have discovered how nanoplastics—even smaller than microplastics—disrupt energy metabolism in brain cells. Their findings may have implications for better understanding neurodegenerative diseases characterized by declining neurological or brain function, and even shed new light on issues with learning and memory.

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'`,…

Future of Brain Health: From Developmental Insights to Clinical Translation
Mariela Chertoff, Martin G Frasch, Eduardo T C\'anepa, Gerlinde A. S. Metz, Marta Cristina Antonelli, Sheehan D. Fisher, Bea R. H. Van den Bergh
https://arxiv.org/abs/2509.21332

Future of Brain Health: From Developmental Insights to Clinical Translation
This review highlights brain health as a dynamic process shaped by both genetic and environmental influences throughout development. Critical periods provide unique windows of heightened neural plasticity, during which genetic-environmental interactions and parental influences profoundly impact brain maturation. Frameworks such as DOHaD, ACEs, and neurosocial plasticity elucidate how early-life experiences modulate long-term cognitive and emotional outcomes. Brain health science is emerging as …

Explicit modelling of subject dependency in BCI decoding
Michele Romani, Francesco Paissan, Andrea Foss\`a, Elisabetta Farella
https://arxiv.org/abs/2509.23247 https://

Explicit modelling of subject dependency in BCI decoding
Brain-Computer Interfaces (BCIs) suffer from high inter-subject variability and limited labeled data, often requiring lengthy calibration phases. In this work, we present an end-to-end approach that explicitly models the subject dependency using lightweight convolutional neural networks (CNNs) conditioned on the subject's identity. Our method integrates hyperparameter optimization strategies that prioritize class imbalance and evaluates two conditioning mechanisms to adapt pre-trained models to…

Sam Altman's next startup eyes using sound waves to read your brain https://www.theverge.com/column/806666/sam-altman-merge-labs-brain-computer-interface-startup-hire (archived at

Sam Altman’s next startup eyes using sound waves to read your brain
Sam Altman has tapped Mikhail Shapiro, an award-winning biomolecular engineer, to join the Merge Labs brain-computer interface startup he’s set to announce soon with co-founder Alex Blania.

A look at Cybathlon, an event by ETH Zurich where researchers team up with people with disabilities in a competition to test brain-computer interfaces (Oliver Whang/New York Times)
https://www.nytimes.com/2025/11/12/scien…

At the Cybathlon, May the Best Brain-Computer Interface Win
Every four years at the Cybathlon, teams of researchers and technology “pilots” compete to see whose brain-computer interface holds the most promise.

🔄 Seeing double: Visual anagrams that rotate open doors for brain research
#vision

Seeing double: Visual anagrams that rotate open doors for brain research
New artificial intelligence-generated images that appear to be one thing, but something else entirely when rotated, are helping scientists test the human mind.

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'`,…

#NeuroWorm: Researchers unveil the first 'dynamic' soft electrode for brain-computer interfaces https://bioengineer.org/groundbreaking

Groundbreaking Development: Researchers Unveil the First ‘Dynamic’ Soft Electrode for Brain-Computer Interfaces
In an unprecedented breakthrough in the field of brain-computer interfaces (BCIs) and neural implant systems, researchers have developed a novel type of electrode that significantly alters the

budapest_connectome: Budapest Reference Connectome 3.0
A parameterizable consensus brain graph, derived from connectomes of 477 people, each computed from MRI datasets of the Human Connectome Project. Nodes are brain regions, and edges are weighted by the number of "tracks" that run between two nodes, as well as fiber length, fractional anisotropy and the number of occurrences in each of the 477 individuals.
This network has 1015 nodes and 93708 edges.
Tags: Biolo…

Non-invasive technology can shape the brain's reward-seeking mechanisms https://www.plymouth.ac.uk/news/non-invasive-technology-can-shape-the-brains-reward-seeking-mechanisms Non-invasive ultrasonic neuromodulation of the human …

Non-invasive technology can shape the brain’s reward-seeking mechanisms
University of Plymouth news: New research led by the University of Plymouth has found that targeted ultrasound can be used to change the function of a...

Neural Receptive Fields, Stimulus Space Embedding and Effective Geometry of Scale-Free Networks
Vasilii Tiselko, Alexander Gorsky, Yuri Dabaghian
https://arxiv.org/abs/2509.25453

Neural Receptive Fields, Stimulus Space Embedding and Effective Geometry of Scale-Free Networks
Understanding how neuronal dynamics couple with stimuli space and how receptive fields emerge and organize within brain networks remains a fundamental challenge in neuroscience. Several models attempted to explain these phenomena, often by adjusting the network to empirical manifestations, but struggled to achieve biological plausibility. Here, we propose a physiologically grounded model in which receptive fields and population-level attractor dynamics emerge naturally from the effective hyperb…

🧠 Decoded circuits reveal how brain cell networks stabilize memory formation
#brain

Decoded circuits reveal how brain cell networks stabilize memory formation
Newly decoded brain circuits make memories more stable as part of learning, according to a study led by NYU Langone Health researchers.

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'`,…

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'`,…

Brain stimulation improves vision recovery after stroke #noninvasive cf-tACS to …

Brain stimulation improves vision recovery after stroke
Scientists at EPFL have developed an innovative, non-invasive brain stimulation therapy to significantly improve visual function in stroke patients who have suffered vision loss following a stroke. The approach could offer a more efficient and faster way to regain visual function in such cases.

💫 Soccer heading does most damage to brain area critical for cognition, brain imaging study finds
https://medicalxpress.com/news/2025-09-soccer-brain-area-critical-cognition.html

Soccer heading does most damage to brain area critical for cognition, brain imaging study finds
A brain imaging technique developed by Columbia researchers has identified areas in the brain's cerebral cortex—just behind the forehead—that are most damaged by the repetitive impacts from heading a soccer ball. Their study also found that the damage leads to cognitive deficits seen in soccer players who head the ball frequently.

budapest_connectome: Budapest Reference Connectome 3.0
A parameterizable consensus brain graph, derived from connectomes of 477 people, each computed from MRI datasets of the Human Connectome Project. Nodes are brain regions, and edges are weighted by the number of "tracks" that run between two nodes, as well as fiber length, fractional anisotropy and the number of occurrences in each of the 477 individuals.
This network has 1015 nodes and 80270 edges.
Tags: Biolo…

WIRED: #Paradromics gets FDA approval to trial its brain implant in people https://www.wired.com/story/paradromics-gets-fda-approval-to-trial-its-brain-impla…

Paradromics Gets FDA Approval to Trial Its Brain Implant in People
The Austin-based startup will test its high-bandwidth device to help restore speech in people with extremely limited movement.

cintestinalis: Tadpole larva brain (C. intestinalis)
Entire connectivity matrix for the complete brain of a larva of Ciona intestinalis. Each directed edge represents a synaptic connection from pre-synaptic cell i to post-synaptic cell j (may not be a neuron). Edge weights represent the cumulative depth of presynaptic contacts in µm.
This network has 205 nodes and 2903 edges.
Tags: Biological, Connectome, Weighted

(LinkedIn) China's bold push into brain-computer interfaces: From policy to practice https://www.linkedin.com/pulse/chinas-bold-push-brain-computer-interfaces-from-policy-chan-phd-ewghc/

China’s Bold Push into Brain-Computer Interfaces: From Policy to Practice
How government funding, insurance reform, and clinical breakthroughs are positioning China as a global BCI powerhouse The Brain-Computer Interface (BCI) landscape is experiencing a seismic shift, and China is emerging as a formidable force in this transformative technology. Having spent over a decad

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'`,…

Developers of invasive visual prostheses for the blind (brain implants, retinal implants) try to protect their turf by ignoring noninvasive alternatives based on smart glasses, using outdated and restrictive definitions, from ivory towers https://www.youtube.com/watch?v=PewuFviiSsQ

New study indicates language, but not music, plays a powerful role in tactile perception https://www.fu-berlin.de/en/presse/informationen/fup/2025/fup_25_166-brain-language-laboratory-miller/index.html "Neuroscientist…

budapest_connectome: Budapest Reference Connectome 3.0
A parameterizable consensus brain graph, derived from connectomes of 477 people, each computed from MRI datasets of the Human Connectome Project. Nodes are brain regions, and edges are weighted by the number of "tracks" that run between two nodes, as well as fiber length, fractional anisotropy and the number of occurrences in each of the 477 individuals.
This network has 1015 nodes and 96857 edges.
Tags: Biolo…

To ChatGPT: What will be the likely "Butcher number" of a Neuralink Blindsight brain implant in visual cortex? Butcher number (Meister, 2019): the number ratio of damaged or killed neurons and stimulated or recorded neurons. https://chatgpt.com/share/6903cdc4-5c18-8004-99e…

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'`,…

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'`,…

cintestinalis: Tadpole larva brain (C. intestinalis)
Entire connectivity matrix for the complete brain of a larva of Ciona intestinalis. Each directed edge represents a synaptic connection from pre-synaptic cell i to post-synaptic cell j (may not be a neuron). Edge weights represent the cumulative depth of presynaptic contacts in µm.
This network has 205 nodes and 2903 edges.
Tags: Biological, Connectome, Weighted