Tootfinder

🧠🔬💻
"... if you don’t look at your data first, you might invent solutions that are simply different from how the brain solves a particular problem you care about. When artificially placed on either end of an analytic spectrum, the two approaches expose an epistemological schism: Should we first choose what to look for (computation) or instead interrogate our data (network) before trying to figure out how the brain solves the task?"
#fmri
#CognitiveNeuroscience
https://www.thetransmitter.org/future-of-fmri/should-we-use-the-computational-or-the-network-approach-to-analyze-functional-brain-imaging-data-why-not-both/

7 jaar!
"COVID-19 Leaves Its Mark on the Brain. Significant Drops in IQ Scores Are Noted. Research shows that even mild COVID-19 can lead to the equivalent of seven years of brain aging"
h…

COVID-19 Leaves Its Mark on the Brain. Significant Drops in IQ Scores Are Noted.
Research shows that even mild COVID-19 can lead to the equivalent of seven years of brain aging

Sleeping more flushes junk out of the brain | Ars Technica
https://arstechnica.com/science/2024/04/sleeping-more-flushes-junk-out-of-the-brain/

Sleeping more flushes junk out of the brain
Rhythmic activity during sleep may get fluids in the brain moving.

Sleeping more flushes junk out of the brain;
Rhythmic activity during sleep may get fluids in the brain moving.
https://arstechnica.com/science/2024/04/sleeping-more-flushes-junk-out-of-the-brain/

Sleeping more flushes junk out of the brain
Rhythmic activity during sleep may get fluids in the brain moving.

404: Brain Not Found
Great Australian Pods Podcast Directory: #GreatAusPods

404: Brain Not Found | Great Australian Pods Podcast Directory
Podcast: 404: Brain Not Found Host: Piers Grove Category: Health & Fitness Sub-Category: Mental Health & Well Being, Personal Stories First Episode: 2024 It is all too common when we think about…

📄 #Handwriting but not typewriting leads to widespread brain connectivity: a high-density EEG study with implications for the classroom
https://doi.org/10.3389/fpsyg.2023.1219945<…

🧠🔬💻
"... if you don’t look at your data first, you might invent solutions that are simply different from how the brain solves a particular problem you care about. When artificially placed on either end of an analytic spectrum, the two approaches expose an epistemological schism: Should we first choose what to look for (computation) or instead interrogate our data (network) before trying to figure out how the brain solves the task?"
#fmri
#CognitiveNeuroscience
https://www.thetransmitter.org/future-of-fmri/should-we-use-the-computational-or-the-network-approach-to-analyze-functional-brain-imaging-data-why-not-both/

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'`,…

The online symposium on Mazviita Chirimuuta's recent book *The Brain Abstracted* has just started over at the BrainsBlog, and will go on for the whole week. My contribution will appear on Thursday, focusing on Mazviita's views about cognitive/neural representations.
https://

The Brains Blog
This week the Brains Blog is hosting a symposium on Mazviita Chirimuuta’s new book The Brain Abstracted: Simplification in the History and Philosophy of Neuroscience (MIT Press). Today’s post from …

An interview with the Kyiv Independent ex-Defense Correspondent Illia Ponomarenko about his new book on Russia's Ukraine invasion, social media, and more (Luke Harding/The Guardian)
https://www.thegu…

My PhD supervisor, Nick Franks, and Bill Wisden in the Guardian - paper in Nature Neuroscience showing that brain clearance is less during sleep, and during anaesthesia.
https://www.nature.com/articles/s41593-024-01638-y

Brain clearance is reduced during sleep and anesthesia - Nature Neuroscience
It has been widely believed that a key function of sleep is to actively clear metabolites and toxins from the brain. Miao, Luo et al. show in mice that brain clearance is markedly reduced—not increased—during sleep and anesthesia.

Learnable Community-Aware Transformer for Brain Connectome Analysis with Token Clustering
Yanting Yang, Beidi Zhao, Zhuohao Ni, Yize Zhao, Xiaoxiao Li
https://arxiv.org/abs/2403.08203 https://arxiv.org/pdf/2403.08203
arXiv:2403.08203v1 Announce Type: new
Abstract: Neuroscientific research has revealed that the complex brain network can be organized into distinct functional communities, each characterized by a cohesive group of regions of interest (ROIs) with strong interconnections. These communities play a crucial role in comprehending the functional organization of the brain and its implications for neurological conditions, including Autism Spectrum Disorder (ASD) and biological differences, such as in gender. Traditional models have been constrained by the necessity of predefined community clusters, limiting their flexibility and adaptability in deciphering the brain's functional organization. Furthermore, these models were restricted by a fixed number of communities, hindering their ability to accurately represent the brain's dynamic nature. In this study, we present a token clustering brain transformer-based model ($\texttt{TC-BrainTF}$) for joint community clustering and classification. Our approach proposes a novel token clustering (TC) module based on the transformer architecture, which utilizes learnable prompt tokens with orthogonal loss where each ROI embedding is projected onto the prompt embedding space, effectively clustering ROIs into communities and reducing the dimensions of the node representation via merging with communities. Our results demonstrate that our learnable community-aware model $\texttt{TC-BrainTF}$ offers improved accuracy in identifying ASD and classifying genders through rigorous testing on ABIDE and HCP datasets. Additionally, the qualitative analysis on $\texttt{TC-BrainTF}$ has demonstrated the effectiveness of the designed TC module and its relevance to neuroscience interpretations.

Matrix-Transformation Based Low-Rank Adaptation (MTLoRA): A Brain-Inspired Method for Parameter-Efficient Fine-Tuning
Yao Liang, Yuwei Wang, Yi Zeng
https://arxiv.org/abs/2403.07440

Matrix-Transformation Based Low-Rank Adaptation (MTLoRA): A Brain-Inspired Method for Parameter-Efficient Fine-Tuning
Fine-tuning techniques based on Large Pretrained Language Models (LPLMs) have been proven to significantly enhance model performance on a variety of downstream tasks and effectively control the output behaviors of LPLMs. Recent studies have proposed numerous methods for fine-tuning a small number of parameters based on open-source LPLMs, reducing the demand for computational and storage resources. Among these, reparameterization fine-tuning methods represented by LoRA (Low-Rank Adaptation) have…

BBSEA: An Exploration of Brain-Body Synchronization for Embodied Agents
Sizhe Yang, Qian Luo, Anumpam Pani, Yanchao Yang
https://arxiv.org/abs/2402.08212 h…

BBSEA: An Exploration of Brain-Body Synchronization for Embodied Agents
Embodied agents capable of complex physical skills can improve productivity, elevate life quality, and reshape human-machine collaboration. We aim at autonomous training of embodied agents for various tasks involving mainly large foundation models. It is believed that these models could act as a brain for embodied agents; however, existing methods heavily rely on humans for task proposal and scene customization, limiting the learning autonomy, training efficiency, and generalization of the lear…

The techbro fantasy that the brain is a “biological computer” really reminds me of when physicistbros discovered that the fabric of the universe isn’t a “clockwork”.

📄 #Handwriting but not typewriting leads to widespread brain connectivity: a high-density EEG study with implications for the classroom
https://doi.org/10.3389/fpsyg.2023.1219945<…

Brain recordings in people before surgery reveal how all minds plan what to say before speaking https://nyulangone.org/news/brain-recordings-people-surgery-reveal-how-all-minds-plan-what-say-speaking "Latencies were…

Brain Recordings in People Before Surgery Reveal How All Minds Plan What to Say Before Speaking
An NYU Langone study of presurgical brain recordings shows that pauses in speech reveal information about how people’s brains plan what to say before speaking.

The Brains Blog || The Brain Abstracted – Overview and Precis
https://philosophyofbrains.com/2024/05/13/the-brain-abstracted-overview-and-precis.aspx

BraSyn 2023 challenge: Missing MRI synthesis and the effect of different learning objectives
Ivo M. Baltruschat, Parvaneh Janbakhshi, Matthias Lenga
https://arxiv.org/abs/2403.07800

BraSyn 2023 challenge: Missing MRI synthesis and the effect of different learning objectives
This work is addressing the Brain Magnetic Resonance Image Synthesis for Tumor Segmentation (BraSyn) challenge which was hosted as part of the Brain Tumor Segmentation challenge (BraTS) 2023. In this challenge researchers are invited to work on synthesizing a missing magnetic resonance image sequence given other available sequences to facilitate tumor segmentation pipelines trained on complete sets of image sequences. This problem can be addressed using deep learning in the framework of paired …

Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion
Dongyang Li, Chen Wei, Shiying Li, Jiachen Zou, Quanying Liu
https://arxiv.org/abs/2403.07721

Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion
How to decode human vision through neural signals has attracted a long-standing interest in neuroscience and machine learning. Modern contrastive learning and generative models improved the performance of fMRI-based visual decoding and reconstruction. However, the high cost and low temporal resolution of fMRI limit their applications in brain-computer interfaces (BCIs), prompting a high need for EEG-based visual reconstruction. In this study, we present an EEG-based visual reconstruction framew…

Nice to see this fantastic follow up from Stephane @… clarifying the role of dFB in #Drosophila #sleep,
Via @…

This probably explains that little thrill I get every time I (increasingly rarely sadly) open my Linux terminal up to write some code...
https://toot.community/@Galehawk/112065055494555667
Galehawk@toot.community -

Why are there 50 formulas for ROI that are all using totally different variables this is killing my physics brain aaaah
I can’t assume that the same variable is actually the same variable across equations how do people even get any work done like this

I’m still struggling to understand #rustlang module naming scheme. My brain sees folders but I know those really don't mean anything (or do they). It's pretty confusing coming from other ecosystems.

My brain every five seconds:
Eeeaughhhhhhhh.
Brother eaaaaauughhhhhh.
What’s that brother.

Scientists often 🔹label cells with proteins that glow,
🔹allowing them to track the growth of a tumor, or measure changes in gene expression that occur as cells differentiate.
While this technique works well in cells and some tissues of the body, 🔥it has been difficult to apply this technique to image structures deep within the #brain, 🔥because the light scatters too much before it can be detected.…

Using MRI, engineers have found a way to detect light deep in the brain
A new way to detect bioluminescence in the brain uses magnetic resonance imaging (MRI). The technique, developed at MIT, could enable researchers to explore the inner workings of the brain in more detail than previously possible.

Every time I see someone post about #GlasgowInterfaceExplorer my brain re-capitalizes to GlasGoWinterFaceExplorer for some reason.

This https://arxiv.org/abs/2308.02409 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Mental Workload Estimation with Electroencephalogram Signals by Combining Multi-Space Deep Models
The human brain remains continuously active, whether an individual is working or at rest. Mental activity is a daily process, and if the brain becomes excessively active, known as overload, it can adversely affect human health. Recently, advancements in early prediction of mental health conditions have emerged, aiming to prevent serious consequences and enhance the overall quality of life. Consequently, the estimation of mental status has garnered significant attention from diverse researchers …

Playing religious today 😉
Praying for our extremist ultra-right Conservative Republican bigoted and exploiting enemies.
🙏
I pray these trolls 🧌 get a brain 🧠 and a heart ❤️ 🙄
We all know that's not gonna happen though, so...
Vote for Democracy! 🫡

NeuroBench: An Open-Source Benchmark Framework for the Standardization of Methodology in Brainwave-based Authentication Research
Avinash Kumar Chaurasiaa, Matin Fallahib, Thorsten Strufeb, Philipp Terh\"orsta, Patricia Arias Cabarcosa,b
https://arxiv.org/abs/2402.08656

NeuroBench: An Open-Source Benchmark Framework for the Standardization of Methodology in Brainwave-based Authentication Research
Biometric systems based on brain activity have been proposed as an alternative to passwords or to complement current authentication techniques. By leveraging the unique brainwave patterns of individuals, these systems offer the possibility of creating authentication solutions that are resistant to theft, hands-free, accessible, and potentially even revocable. However, despite the growing stream of research in this area, faster advance is hindered by reproducibility problems. Issues such as the …

My PhD supervisor, Nick Franks, and Bill Wisden in the Guardian - paper in Nature Neuroscience showing that brain clearance is less during sleep, and during anaesthesia.
https://www.nature.com/articles/s41593-024-01638-y

Brain clearance is reduced during sleep and anesthesia - Nature Neuroscience
It has been widely believed that a key function of sleep is to actively clear metabolites and toxins from the brain. Miao, Luo et al. show in mice that brain clearance is markedly reduced—not increased—during sleep and anesthesia.

I'm thinking of adding Aaron Rodgers to my brain trust. As a joke, of course.

I plaster my stuff everywhere I can online, sometimes I even mention it at work when I'm called out.
I low-key crave for appreciation and attention even if I never state it directly.
And when I actually get it, I feel like the Coyote catching the Road Runner.
God effin' dammit, brain. Make up your mind.

is that like a... use a channel and wait for it to close() kind of thing?
but then you'd have an array of channels you'd have to hand off to other goroutines also attached to the waitASN list.
or have the go routine have a big array of todos that you dynamically grow with a mutex, and have it occasionally run through each to find a domain with the ASN unblocked,
or have the worker run a select from SQL every so often to populate the worker queues
queue interruption to pause/unpause things is weird. my brain doesn't think well with that
I guess you could try an approach and graph how many tasks are queued or blocked in each approach, and the memory use or wasted SQL queries?

Matrix-Transformation Based Low-Rank Adaptation (MTLoRA): A Brain-Inspired Method for Parameter-Efficient Fine-Tuning
Yao Liang, Yuwei Wang, Yi Zeng
https://arxiv.org/abs/2403.07440

Matrix-Transformation Based Low-Rank Adaptation (MTLoRA): A Brain-Inspired Method for Parameter-Efficient Fine-Tuning
Fine-tuning techniques based on Large Pretrained Language Models (LPLMs) have been proven to significantly enhance model performance on a variety of downstream tasks and effectively control the output behaviors of LPLMs. Recent studies have proposed numerous methods for fine-tuning a small number of parameters based on open-source LPLMs, reducing the demand for computational and storage resources. Among these, reparameterization fine-tuning methods represented by LoRA (Low-Rank Adaptation) have…

I don’t know what’s worse, that a worm ate part of R.F.K. Jr.’s brain or that it died after eating it.
https://www.nytimes.com/2024/05/08/us/rfk-jr-brain-health-memory-loss.html

RFK Jr. Says Doctors Found a Dead Worm in His Brain
The presidential candidate has faced previously undisclosed health issues, including a parasite that he said ate part of his brain.

This https://arxiv.org/abs/2403.06186 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Mind Meets Robots: A Review of EEG-Based Brain-Robot Interaction Systems
Brain-robot interaction (BRI) empowers individuals to control (semi-)automated machines through their brain activity, either passively or actively. In the past decade, BRI systems have achieved remarkable success, predominantly harnessing electroencephalogram (EEG) signals as the central component. This paper offers an up-to-date and exhaustive examination of 87 curated studies published during the last five years (2018-2023), focusing on identifying the research landscape of EEG-based BRI syst…

Vues incroyables des neurones du cerveau.
https://blog.google/technology/research/google-ai-research-new-images-human-brain/

6 incredible images of the human brain built with the help of Google's AI
Google researchers and Harvard neuroscientists have worked together to reveal incredible images of the human brain.

Last day of #deRSE24
My brain is full of new information, I had wonderful conversations and, as always, have been feeling very comfortable in this welcoming community 🫶
Session materials are linked in the timetable ( @… is cool!):

deRSE24 - Conference for Research Software Engineering in Germany
Further information on how we deal with the current train strikes will be published on the news page. Use the pad to coordinate travel plans. FactsWhat: 4th conference for Research Software Engineering in GermanyBegin: 05.03.24End: 07.03.24Organized and hosted by Julius-Maximilians-Universität WürzburgLocation: Lecture Hall of the Natural Sciences(NWHS)Call for Contributions: See this link or the left side bar.Registration: Is openFees: 175 € full price, 145 € for GI & de-RSE e.V....

The New York Review of Books asked me a few questions.
https://www.nybooks.com/online/2024/03/09/your-fancy-pants-brain-james-gleick/

Your Fancy-Pants Brain | James Gleick, Daniel Drake
“You can write down all the equations of fluid dynamics and still be surprised by a tornado.”

This https://arxiv.org/abs/2307.03261 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Fast high-resolution metabolite mapping in the rat brain using 1H-FID-MRSI at 14.1T
Magnetic resonance spectroscopic imaging (MRSI) enables the simultaneous non-invasive acquisition of MR spectra from multiple spatial locations inside the brain. While 1H-MRSI is increasingly used in the human brain, it is not yet widely applied in the preclinical settings, mostly because of difficulties specifically related to very small nominal voxel size in the rodent brain and low concentration of brain metabolites, resulting in low signal-to-noise ratio SNR. In this context, we implement…

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'`,…

Kimmel knocks Britt for SOTU rebuttal at Oscars: She's an 'adult woman with the brain of a child' (Judy Kurtz/The Hill)
https://thehill.com/homenews/4522991-kimmel-knocks-britt-for-sotu-rebuttal-at-oscars-shes-an-adult-woman-with-the-brain-of-a-child/
http://www.memeorandum.com/240310/p45#a240310p45

Something extremely glaring about Cardinal Vestige #clae_ae
what brain damage they suffered that they suddenly decided on the plan extremely contradictory to their previous plan in Azure Rebel.
Also, the "acting as deterrent for overgrowth of technology" itself seems to be rather inconsistent with what they already did with Synth Humans and how it pushed humanity's technological growth.

I think I just found a new #ADHD word! "interruptive: portmanteau of 'interrupting' and 'disruptive'." Yes, I know it's already a "real" word but my brain smooshed it into existence while journaling this morning and I meant *my* definition.

This is an incredible summary of what I experienced too with OmniFocus and the reason I have’t been able to incorporate it completely in my routines.
The conclusion is that it is not about you.
Nor about the tool.
It’s about how the process makes you feel. https://emacs.ch/@fox/1124182267532471

This https://arxiv.org/abs/2403.07721 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Visual Decoding and Reconstruction via EEG Embeddings with Guided Diffusion
How to decode human vision through neural signals has attracted a long-standing interest in neuroscience and machine learning. Modern contrastive learning and generative models improved the performance of fMRI-based visual decoding and reconstruction. However, the high cost and low temporal resolution of fMRI limit their applications in brain-computer interfaces (BCIs), prompting a high need for EEG-based visual reconstruction. In this study, we present an EEG-based visual reconstruction framew…

PRIME study site announcement https://www.barrowneuro.org/about/news-and-articles/press-releases/prime-study-site-announcement/ "An initial assessment of the safety and usability of

PRIME Study Site Announcement
The first participant in Neuralink’s PRIME Study recently demonstrated the ability to use brain activity to command an external device. The successful procedure for Neuralink’s N1 Implant was performed earlier this year at Barrow Neurological Institute, located in Phoenix, Arizona.

This https://arxiv.org/abs/2305.06459 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment
We present a real-time visualization system for Transcranial Magnetic Stimulation (TMS), a non-invasive neuromodulation technique for treating various brain disorders and mental health diseases. Our solution targets the current challenges of slow and labor-intensive practices in treatment planning. Integrating Deep Learning (DL), our system rapidly predicts electric field (E-field) distributions in 0.2 seconds for precise and effective brain stimulation. The core advancement lies in our tool's …

_"brain fully developed at 25" is a joke, and we all know it.
We let 14 year olds babysit our kids. We let 16 year olds prepare food for the public. We let 17 year olds join the US Army :-D
We would do NONE OF THAT if we really believed they had deficient brains.

🐦 Chickadees have unique neural 'barcodes' for memories of stashing away food
https://phys.org/news/2024-03-chickadees-unique-neural-barcodes-memories.html

Chickadees have unique neural 'barcodes' for memories of stashing away food
Black-capped chickadees have extraordinary memories that can recall the locations of thousands of morsels of food to help them survive the winter. Now scientists at Columbia's Zuckerman Institute have discovered how the chickadees can remember so many details: they memorize each food location using brain cell activity akin to a barcode. These new findings may shed light on how the brain creates memories for the events that make up our lives.

Raiders Opinion: The Road Back to Relevance Starts With Pass Rush https://www.yardbarker.com/nfl/articles/raiders_opinion_the_road_back_to_relevance_starts_with_pass_rush/s1_16880_40101131

ACTION: Augmentation and Computation Toolbox for Brain Network Analysis with Functional MRI
Yuqi Fang, Junhao Zhang, Linmin Wang, Qianqian Wang, Mingxia Liu
https://arxiv.org/abs/2405.06178

Amazon adds Andrew Ng to its board to boost its AI expertise, after longtime TV executive Judith McGrath stepped down; Ng has worked for Baidu and Google Brain (Ingrid Lunden/TechCrunch)
https://techcrunch.com/2024/04/11/amaz

Amazon, eyeing up AI, adds Andrew Ng to its board; ex-MTV exec McGrath to step down | TechCrunch
If corporate boards of directors signal something about where a company wants to be focusing, Amazon's just made an interesting move to change up its

Great, 2024 wasn’t going badly enough & now we all have brain worms?
https://universeodon.com/@memeorandum/112407540405628327

This https://arxiv.org/abs/2201.00087 has been replaced.
link: https://scholar.google.com/scholar?q=a

Persistent Homological State-Space Estimation of Functional Human Brain Networks at Rest
We introduce an innovative, data-driven topological data analysis (TDA) technique for estimating the state spaces of dynamically changing functional human brain networks at rest. Our method utilizes the Wasserstein distance to measure topological differences, enabling the clustering of brain networks into distinct topological states. This technique outperforms the commonly used k-means clustering in identifying brain network state spaces by effectively incorporating the temporal dynamics of the…

ardEEG Lowers the Cost of Brain-Computer Interfaces
https://poliverso.org/display/0477a01e-ed57a829-d79de57e70f41098
ardEEG Lowers the Cost of Brain-Computer Interfaces Considering the incredible potential offered by brain-computer interfaces (BCIs)…

“essentially, this [trial] is an in kind campaign donation to [Trump]”
No, John Dickerson, no no no.
Comfortable-centrist brain has SO OFTEN led the media astray.
Emily Bazelon is right. The trial hurts him. Jail would hurt him!
Why? /1
https://sl…

4/6
Moreover, DHA's benefits extend beyond the brain and heart to include supporting eye health and vision, critical for professionals who rely on visual acuity for their work. Research published in the "Journal of Nutrition, Health & Aging" (2020) has shown that DHA supplementation can improve visual function and reduce the risk of age-related macular degeneration, safeguarding professionals' ability to excel in their respective fields.
#EyeHealth #Vision #ProfessionalExcellence

Just got back from seeing an 83-year-old man off in an ambulance after he fell and hit his head when his dog lurched for ours by the seafront. He’s hopefully going to be all right; was conscious and talking and is going in for a brain scan now.
Apart from being a little shaken up, it made me appreciate yet again that we live in a place where you can call an ambulance for someone without causing their financial ruin. (And where folks stop and help – thanks Audrey, Robert).

Scientists find 57,000 cells and 150m neural connections in tiny sample of human brain
Scientists have reconstructed a wiring diagram for a piece of human brain in unprecedented detail,
revealing fresh quirks and complexities in what many regard as the most sophisticated object in the known universe.
Harvard researchers teamed up with experts in machine learning at Google to map out the neural circuitry, connections, supporting cells and blood supply in a speck of healthy …

This https://arxiv.org/abs/2305.06459 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

SlicerTMS: Real-Time Visualization of Transcranial Magnetic Stimulation for Mental Health Treatment
We present a real-time visualization system for Transcranial Magnetic Stimulation (TMS), a non-invasive neuromodulation technique for treating various brain disorders and mental health diseases. Our solution targets the current challenges of slow and labor-intensive practices in treatment planning. Integrating Deep Learning (DL), our system rapidly predicts electric field (E-field) distributions in 0.2 seconds for precise and effective brain stimulation. The core advancement lies in our tool's …

Mind Meets Robots: A Review of EEG-Based Brain-Robot Interaction Systems
Yuchong Zhang, Nona Rajabi, Farzaneh Taleb, Andrii Matviienko, Yong Ma, M{\aa}rten Bj\"orkman, Danica Kragic
https://arxiv.org/abs/2403.06186

Mind Meets Robots: A Review of EEG-Based Brain-Robot Interaction Systems
Brain-robot interaction (BRI) empowers individuals to control (semi-)automated machines through their brain activity, either passively or actively. In the past decade, BRI systems have achieved remarkable success, predominantly harnessing electroencephalogram (EEG) signals as the central component. This paper offers an up-to-date and exhaustive examination of 87 curated studies published during the last five years (2018-2023), focusing on identifying the research landscape of EEG-based BRI syst…

Ate part of his brain and *died*, you mean...
RFK Jr. says parasite ate part of his brain | The Hill
https://thehill.com/homenews/campaign/4651051-rfk-jr-says-parasite-ate-part-of-his-brain/

RFK Jr. says parasite ate part of his brain
Robert F. Kennedy Jr. said doctors told him a dead parasite ate part of his brain, after experiencing memory loss and brain fog in 2010. The New York Times reviewed a deposition of Kennedy from 2012 that detailed his experience with his symptoms and the dead parasite. The Times reported that Kennedy started dealing with…

Apropos #Croatia and the brain drain, I was happy to hear that the Croatian met service are now also part of the #HCLIM consortium along with the Nordic countries, Ireland, Spain, NL Hungary..
#eurovision #ClimateModelling

(YouTube) Be My Eyes accessibility with GPT-4o #OpenAI

Question for fellow @… and @… neurodivergent folks:
How do you explain your ideas to neurotypicals?
I constantly struggle because my brain has made connections that are not obvious to others, and when I tr…

TIL
If you listen to crap your whole life, your brain turns into shit, and if you spew crap your whole life, you turn into an orange turd.
Vote for Democracy!

This https://arxiv.org/abs/2309.04071 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Enhancing Hierarchical Transformers for Whole Brain Segmentation with Intracranial Measurements Integration
Whole brain segmentation with magnetic resonance imaging (MRI) enables the non-invasive measurement of brain regions, including total intracranial volume (TICV) and posterior fossa volume (PFV). Enhancing the existing whole brain segmentation methodology to incorporate intracranial measurements offers a heightened level of comprehensiveness in the analysis of brain structures. Despite its potential, the task of generalizing deep learning techniques for intracranial measurements faces data avail…

This is an incredible summary of what I experienced too with OmniFocus and the reason I have’t been able to incorporate it completely in my routines.
The conclusion is that it is not about you.
Nor about the tool.
It’s about how the process makes you feel. https://emacs.ch/@fox/1124182267532471

This https://arxiv.org/abs/2309.07096 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Computational limits to the legibility of the imaged human brain
Our knowledge of the organisation of the human brain at the population-level is yet to translate into power to predict functional differences at the individual-level, limiting clinical applications, and casting doubt on the generalisability of inferred mechanisms. It remains unknown whether the difficulty arises from the absence of individuating biological patterns within the brain, or from limited power to access them with the models and compute at our disposal. Here we comprehensively investi…

Mind Meets Robots: A Review of EEG-Based Brain-Robot Interaction Systems
Yuchong Zhang, Nona Rajabi, Farzaneh Taleb, Andrii Matviienko, Yong Ma, M{\aa}rten Bj\"orkman, Danica Kragic
https://arxiv.org/abs/2403.06186

Mind Meets Robots: A Review of EEG-Based Brain-Robot Interaction Systems
Brain-robot interaction (BRI) empowers individuals to control (semi-)automated machines through their brain activity, either passively or actively. In the past decade, BRI systems have achieved remarkable success, predominantly harnessing electroencephalogram (EEG) signals as the central component. This paper offers an up-to-date and exhaustive examination of 87 curated studies published during the last five years (2018-2023), focusing on identifying the research landscape of EEG-based BRI syst…

Just like the human body the human brain changes quickly during puberty then slowly for the rest of your life. There is no magical point of "fully matured". That's a garbage paradigm.
Looking for it creates lots of dumb clickbait that people love to parrot.

Trump's Brain Is Not Okay (President U-licious S Grant/The Big Picture)
https://thinkbigpicture.substack.com/p/john-gartner-trump-cognitive-decline
http://www.memeorandum.com/240411/p70#a240411p70

Scientists find 57,000 cells and 150m neural connections in tiny sample of human brain
Scientists have reconstructed a wiring diagram for a piece of human brain in unprecedented detail,
revealing fresh quirks and complexities in what many regard as the most sophisticated object in the known universe.
Harvard researchers teamed up with experts in machine learning at Google to map out the neural circuitry, connections, supporting cells and blood supply in a speck of healthy …

Semantic segmentation for recognition of epileptiform patterns recorded via Microelectrode Arrays in vitro
Gabriel Galeote-Checa, Gabriella Panuccio, Angel Canal-Alonso, Teresa Serrano-Gotarredona, Bernabe Linares Barranco
https://arxiv.org/abs/2402.08099

Semantic segmentation for recognition of epileptiform patterns recorded via Microelectrode Arrays in vitro
Epilepsy is a prevalent neurological disorder that affects approximately 1% of the global population. Around 30-40% of patients do not respond to pharmacological treatment, leading to a significant negative impact on their quality of life. Closed-loop deep brain stimulation (DBS) is a promising treatment for individuals who do not respond to medical therapy. To achieve effective seizure control, algorithms play an important role in identifying relevant electrographic biomarkers from local field…

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 71604 edges.
Tags: Biolo…

My brain when I'm out of town: bro, I would love to write that blog post right now, I can literally recite each and every sentence of it.
My brain when I'm back home, in front of the computer: *Windows XP shutdown sound*
😠

Great, 2024 wasn’t going badly enough & now we all have brain worms?
https://universeodon.com/@memeorandum/112407540405628327

ardEEG Lowers the Cost of Brain-Computer Interfaces
https://poliverso.org/display/0477a01e-ed57a829-d79de57e70f41098
ardEEG Lowers the Cost of Brain-Computer Interfaces Considering the incredible potential offered by brain-computer interfaces (BCIs)…

A shifting role of thalamocortical connectivity in the emergence of large-scale functional brain organization across early lifespan development https://www.biorxiv.org/content/10.1101/2024.03.11.584415v1

This https://arxiv.org/abs/2311.09889 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Language Generation from Brain Recordings
Generating human language through non-invasive brain-computer interfaces (BCIs) has the potential to unlock many applications, such as serving disabled patients and improving communication. Currently, however, generating language via BCIs has been previously successful only within a classification setup for selecting pre-generated sentence continuation candidates with the most likely cortical semantic representation. Inspired by recent research that revealed associations between the brain and t…

TIL
If you listen to crap your whole life, your brain turns into shit, and if you spew crap your whole life, you turn into an orange turd.
Vote for Democracy!

Ricci flow-based brain surface covariance descriptors for Alzheimer disease
Fatemeh Ahmadi, Mohamad Ebrahim Shiri, Behroz Bidabad, Maral Sedaghat, Pooran Memari
https://arxiv.org/abs/2403.06645

Ricci flow-based brain surface covariance descriptors for Alzheimer disease
Automated feature extraction from MRI brain scans and diagnosis of Alzheimer's disease are ongoing challenges. With advances in 3D imaging technology, 3D data acquisition is becoming more viable and efficient than its 2D counterpart. Rather than using feature-based vectors, in this paper, for the first time, we suggest a pipeline to extract novel covariance-based descriptors from the cortical surface using the Ricci energy optimization. The covariance descriptors are components of the nonlinear…

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'`,…

Graph learning methods to extract empathy supporting regions in a naturalistic stimuli fMRI
Sasanka GRS (Signal Processing and Communication Research Center, IIIT Hyderabad), Ayushi Agrawal (Cognitive Science Lab, IIIT Hyderabad), Santosh Nannuru (Signal Processing and Communication Research Center, IIIT Hyderabad), Kavita Vemuri (Cognitive Science Lab, IIIT Hyderabad)

Graph learning methods to extract empathy supporting regions in a naturalistic stimuli fMRI
Functional MRI (fMRI) research, employing naturalistic stimuli like movies, explores brain network interactions in complex cognitive processes such as empathy. The empathy network encompasses multiple brain areas, including the Insula, PFC, ACC, and parietal regions. Our novel processing pipeline applies graph learning methods to whole-brain timeseries signals, incorporating high-pass filtering, voxel-level clustering, and windowed graph learning with a sparsity-based approach. The study involv…

Ricci flow-based brain surface covariance descriptors for Alzheimer disease
Fatemeh Ahmadi, Mohamad Ebrahim Shiri, Behroz Bidabad, Maral Sedaghat, Pooran Memari
https://arxiv.org/abs/2403.06645

Ricci flow-based brain surface covariance descriptors for Alzheimer disease
Automated feature extraction from MRI brain scans and diagnosis of Alzheimer's disease are ongoing challenges. With advances in 3D imaging technology, 3D data acquisition is becoming more viable and efficient than its 2D counterpart. Rather than using feature-based vectors, in this paper, for the first time, we suggest a pipeline to extract novel covariance-based descriptors from the cortical surface using the Ricci energy optimization. The covariance descriptors are components of the nonlinear…

Multisensory flicker modulates widespread brain networks and reduces interictal epileptiform discharges https://www.nature.com/articles/s41467-024-47263-y "multi-sensory stimulation may modulate cortical structures to mitigate pathological activity in humans";

Multisensory flicker modulates widespread brain networks and reduces interictal epileptiform discharges - Nature Communications
Repetitive audio-visual stimulation, or sensory flicker, can modulate oscillations in a non-invasive manner. Here the authors demonstrate the potential of flicker in individuals with epilepsy undergoing intracranial seizure monitoring.

Between 2.5 and 28% of people infected with SARS-CoV-2 suffer Long COVID or persistence of symptoms for months after acute illness.
Many symptoms are neurological, but the brain changes underlying the neuropsychological impairments remain unclear.
This study aimed to provide a detailed description of the cognitive profile, the pattern of brain alterations in Long COVID and the potential association between them.

Brain and cognitive changes in patients with long COVID compared with infection-recovered control subjects
Serrano del Pueblo et al. report that patients with long COVID have cognitive difficulties, especially in episodic memory and executive function, compared

Topological Embedding of Human Brain Networks with Applications to Dynamics of Temporal Lobe Epilepsy
Moo K. Chung, Ji Bi Che, Veena A. Nair, Camille Garcia Ramos, Jedidiah Ray Mathis, Vivek Prabhakaran, Elizabeth Meyerand, Bruce P. Hermann, Jeffrey R. Binder, Aaron F. Struck
https://arxiv.org/abs/2405.07835

PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI
Peirong Liu, Oula Puonti, Annabel Sorby-Adams, William T. Kimberly, Juan E. Iglesias
https://arxiv.org/abs/2403.06227

PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI
Remarkable progress has been made by data-driven machine-learning methods in the analysis of MRI scans. However, most existing MRI analysis approaches are crafted for specific MR pulse sequences (MR contrasts) and usually require nearly isotropic acquisitions. This limits their applicability to diverse real-world clinical data, where scans commonly exhibit variations in appearances due to being obtained with varying sequence parameters, resolutions, and orientations -- especially in the presenc…

PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI
Peirong Liu, Oula Puonti, Annabel Sorby-Adams, William T. Kimberly, Juan E. Iglesias
https://arxiv.org/abs/2403.06227

PEPSI: Pathology-Enhanced Pulse-Sequence-Invariant Representations for Brain MRI
Remarkable progress has been made by data-driven machine-learning methods in the analysis of MRI scans. However, most existing MRI analysis approaches are crafted for specific MR pulse sequences (MR contrasts) and usually require nearly isotropic acquisitions. This limits their applicability to diverse real-world clinical data, where scans commonly exhibit variations in appearances due to being obtained with varying sequence parameters, resolutions, and orientations -- especially in the presenc…

Layer-dependent stability of intracortical recordings and neuronal cell loss https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2023.1096097/full "L2/3 and L4 electrodes having the largest area of neuronal …

Frontiers | Layer-dependent stability of intracortical recordings and neuronal cell loss

Intracortical recordings can be used to voluntarily control external devices via brain-machine interfaces (BMI). Multiple factors, includ...

Robert F. Kennedy Jr. said doctors concluded that a dark spot showing up on his brain scans was caused by
a dead worm, according to a report.
In a 2012 deposition given as part of divorce proceedings, the now-presidential candidate said
clinicians first believed he had a tumor,
but he then received a call from a NewYork-Presbyterian Hospital doctor who thought he actually had a dead parasite inside his head,
according to The New York Times.
Kennedy said …

RFK Jr. Says Doctors Found a Dead Worm in His Brain: Report
He said in a deposition that clinicians believed the parasite “got into my brain and ate a portion of it and then died.”

Revolutionary wireless visual prosthesis brain implant marks two years of successful testing after surgical implantation https://www.iit.edu/news/revolutionary-wireless-visual-prosthesis-brain-implant-marks-two-yea…

Revolutionary Wireless Visual Prosthesis Brain Implant Marks Two Years of Successful Testing After Surgical Implantation
CHICAGO—April 8, 2024—The groundbreaking Intracortical Visual Prosthesis (ICVP), an implant that bypasses the retina and optic nerves to connect directly to the brain’s visual cortex, announces a s

Deep Learning-Based Brain Image Segmentation for Automated Tumour Detection
Suman Sourabh, Murugappan Valliappan, Narayana Darapaneni, Anwesh R P
https://arxiv.org/abs/2404.05763 …

Deep Learning-Based Brain Image Segmentation for Automated Tumour Detection
Introduction: The present study on the development and evaluation of an automated brain tumor segmentation technique based on deep learning using the 3D U-Net model. Objectives: The objective is to leverage state-of-the-art convolutional neural networks (CNNs) on a large dataset of brain MRI scans for segmentation. Methods: The proposed methodology applies pre-processing techniques for enhanced performance and generalizability. Results: Extensive validation on an independent dataset confirms th…

Hybridized Convolutional Neural Networks and Long Short-Term Memory for Improved Alzheimer's Disease Diagnosis from MRI Scans
Maleka Khatun, Md Manowarul Islam, Habibur Rahman Rifat, Md. Shamim Bin Shahid, Md. Alamin Talukder, Md Ashraf Uddin
https://arxiv.org/abs/2403.05353

Hybridized Convolutional Neural Networks and Long Short-Term Memory for Improved Alzheimer's Disease Diagnosis from MRI Scans
Brain-related diseases are more sensitive than other diseases due to several factors, including the complexity of surgical procedures, high costs, and other challenges. Alzheimer's disease is a common brain disorder that causes memory loss and the shrinking of brain cells. Early detection is critical for providing proper treatment to patients. However, identifying Alzheimer's at an early stage using manual scanning of CT or MRI scans is challenging. Therefore, researchers have delved into the e…