Tootfinder

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

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

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

DTBIA: An Immersive Visual Analytics System for Brain-Inspired Research
Jun-Hsiang Yao, Mingzheng Li, Jiayi Liu, Yuxiao Li, Jielin Feng, Jun Han, Qibao Zheng, Jianfeng Feng, Siming Chen
https://arxiv.org/abs/2505.23730

DTBIA: An Immersive Visual Analytics System for Brain-Inspired Research
The Digital Twin Brain (DTB) is an advanced artificial intelligence framework that integrates spiking neurons to simulate complex cognitive functions and collaborative behaviors. For domain experts, visualizing the DTB's simulation outcomes is essential to understanding complex cognitive activities. However, this task poses significant challenges due to DTB data's inherent characteristics, including its high-dimensionality, temporal dynamics, and spatial complexity. To address these challenges,…

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

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

ConnectomeDiffuser: Generative AI Enables Brain Network Construction from Diffusion Tensor Imaging
Xuhang Chen, Michael Kwok-Po Ng, Kim-Fung Tsang, Chi-Man Pun, Shuqiang Wang
https://arxiv.org/abs/2505.22683

ConnectomeDiffuser: Generative AI Enables Brain Network Construction from Diffusion Tensor Imaging
Brain network analysis plays a crucial role in diagnosing and monitoring neurodegenerative disorders such as Alzheimer's disease (AD). Existing approaches for constructing structural brain networks from diffusion tensor imaging (DTI) often rely on specialized toolkits that suffer from inherent limitations: operator subjectivity, labor-intensive workflows, and restricted capacity to capture complex topological features and disease-specific biomarkers. To overcome these challenges and advance com…

This https://arxiv.org/abs/2304.11476 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Maximum Spherical Mean Value (mSMV) Filtering for Whole Brain Quantitative Susceptibility Mapping
To develop a tissue field filtering algorithm, called maximum Spherical Mean Value (mSMV), for reducing shadow artifacts in quantitative susceptibility mapping (QSM) of the brain without requiring brain tissue erosion. Residual background field is a major source of shadow artifacts in QSM. The mSMV algorithm filters large field values near the border, where the maximum value of the harmonic background field is located. The effectiveness of mSMV for artifact removal was evaluated by comparing wi…

I honestly do not want Jake Paul to suffer brain damage. He's already stupid enough.

Brain, get our shit together, please.

With a bit of determination and some brain, Europe and China might be able to let Russia and the US cavort themselves into oblivion and establish a new bipolar world order for fun and profit.

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

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

The global communication pathways of the human brain transcend the cortical-subcortical-cerebellar division
Julian Schulte, Mario Senden, Gustavo Deco, Xenia Kobeleva, Gorka Zamora-L\'opez
https://arxiv.org/abs/2505.22893

The global communication pathways of the human brain transcend the cortical-subcortical-cerebellar division
Neural communication across the cortex, subcortex, and cerebellum is orchestrated by the structural connectome, forming the indispensable anatomical framework for capabilities spanning from elementary motor actions to higher cognitive functions. Yet, despite this importance, the core organizational rules that govern this connectivity remain insufficiently understood. Here we show, for the first time, how the integrated cortical, subcortical, and cerebellar brain areas shape the structural archi…

Juanyeh Thomas sends strong message about HC Brian Schottenheimer https://insidethestar.com/juanyeh-thomas-sends-strong-message-about-hc-brian-schottenheimer

This https://arxiv.org/abs/2505.20688 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

A False Discovery Rate Control Method Using a Fully Connected Hidden Markov Random Field for Neuroimaging Data
False discovery rate (FDR) control methods are essential for voxel-wise multiple testing in neuroimaging data analysis, where hundreds of thousands or even millions of tests are conducted to detect brain regions associated with disease-related changes. Classical FDR control methods (e.g., BH, q-value, and LocalFDR) assume independence among tests and often lead to high false non-discovery rates (FNR). Although various spatial FDR control methods have been developed to improve power, they still …

This https://arxiv.org/abs/2504.04532 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

BrainMRDiff: A Diffusion Model for Anatomically Consistent Brain MRI Synthesis
Accurate brain tumor diagnosis relies on the assessment of multiple Magnetic Resonance Imaging (MRI) sequences. However, in clinical practice, the acquisition of certain sequences may be affected by factors like motion artifacts or contrast agent contraindications, leading to suboptimal outcome, such as poor image quality. This can then affect image interpretation by radiologists. Synthesizing high quality MRI sequences has thus become a critical research focus. Though recent advancements in co…

It's the fact that you can tell from a mile away that it's even less defensible than a photoshop, it was a hackjob done in a fucking word processor, it's all so blatant and lazy that I can't not conclude that anyone who still champions this guy have a rotting bowl of porridge for a brain.

Genetic Influences on Brain Aging: Analyzing Sex Differences in the UK Biobank using Structural MRI
Karen Ardila, Aashka Mohite, Abdoljalil Addeh, Amanda V. Tyndall, Cindy K. Barha, Quan Long, M. Ethan MacDonald
https://arxiv.org/abs/2505.20344

Genetic Influences on Brain Aging: Analyzing Sex Differences in the UK Biobank using Structural MRI
Brain aging trajectories differ between males and females, yet the genetic factors underlying these differences remain underexplored. Using structural MRI and genotyping data from 40,940 UK Biobank participants (aged 45-83), we computed Brain Age Gap Estimates (BrainAGE) for total brain, hippocampal, and ventricular volumes. We conducted sex-stratified genome-wide association studies (GWAS) and Post-GWAS analyses to identify genetic variants associated with accelerated brain aging. Distinct gen…

Thank you, Norm! FFS ppl, stop listening to media outlets who are to sell papers to both parties & start using your brain:
Trump is extending numerous roles past the non-employee limit. That was NOT the reason #ElonMusk had an unceremonious departure.
Original post:

Dual-Task Graph Neural Network for Joint Seizure Onset Zone Localization and Outcome Prediction using Stereo EEG
Syeda Abeera Amir, Artur Agaronyan, William Gaillard, Chima Oluigbo, Syed Muhammad Anwar
https://arxiv.org/abs/2505.23669

Dual-Task Graph Neural Network for Joint Seizure Onset Zone Localization and Outcome Prediction using Stereo EEG
Accurately localizing the brain regions that triggers seizures and predicting whether a patient will be seizure-free after surgery are vital for surgical planning and patient management in drug-resistant epilepsy. Stereo-electroencephalography (sEEG) delivers high-fidelity intracranial recordings that enable clinicians to precisely locate epileptogenic networks. However, the clinical identification is subjective and dependent on the expertise of the clinical team. Data driven approaches in this…

Just mistyped "brain fog" as "brain fox", and, tbh., I definitely sometimes have that. A brain that skulks through the underbrush, hunts for small things, and otherwise digs through the trash.

Why does #DOAJ have abstracts for articles which are closed access (nonfreely licensed and paywalled)?
https://doaj.org/article/13b03a41fdac43c0b6772f0d7be22ccb (doi:10.101…

Brain-derived neurotrophic factor in mood disorders and antidepressant treatments – DOAJ
Levels of brain-derived neurotrophic factor (BDNF) are reduced in the brain and serum of depressed patients and at least the reduction in serum levels is...

YEARNING!
comic source: @…
#rats

Sometimes I feel like a broken record when #writing about #neurodivergence
But re-processing my past through the lens of #Autism

Constructive community race: full-density spiking neural network model drives neuromorphic computing
Johanna Senk, Anno Kurth, Steve Furber, Tobias Gemmeke, Bruno Golosio, Arne Heittmann, James C. Knight, Eric M\"uller, Tobias Noll, Thomas Nowotny, Gorka Peraza Coppola, Luca Peres, Oliver Rhodes, Andrew Rowley, Johannes Schemmel, Tim Stadtmann, Tom Tetzlaff, Gianmarco Tiddia, Sacha J. van Albada, Jos\'e Villamar, Markus Diesmann

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

Early Assessment of Artificial Lower Extremity Sensory Response Times and Proprioceptive Acuity via Sensory Cortex Electrical Stimulation
Won Joon Sohn, Jeffrey Lim, Po T. Wang, Susan J. Shaw, Michelle Armacost, Hui Gong, Brian Lee, Darrin Lee, Payam Heydari, Richard A. Andersen, Charles Y. Liu, Zoran Nenadic, An H. Do
https://a…

Early Assessment of Artificial Lower Extremity Sensory Response Times and Proprioceptive Acuity via Sensory Cortex Electrical Stimulation
Bi-directional brain computer interfaces (BD-BCIs) may restore brain-controlled walking and artificial leg sensation after spinal cord injury. Current BD-BCIs provide only simplistic "tingling" feedback, which lacks proprioceptive information to perceive critical gait events (leg swing, double support). This information must also be perceived adequately fast to facilitate timely motor responses. Here, we investigated utilizing primary sensory cortex (S1) direct cortical electrical stimulation (…

Emerging applications of neurotechnology and their implications for EU governance #BCI

Emerging applications of neurotechnology and their implications for EU governance
This report sums up recent developments in neurotechnology, that is, technology that can read and modify activity from the central nervous system. Some devices record information from the brain, and others deliver stimulation to the brain (and some do both). These technologies are rapidly advancing and are likely to have a profound impact on various aspects of society. In the near future, neurotechnology is set to revolutionise the way we approach a range of policy areas, from healthcare, educa…

Vision-Based Assistive Technologies for People with Cerebral Visual Impairment: A Review and Focus Study
Bhanuka Gamage, Leona Holloway, Nicola McDowell, Thanh-Toan Do, Nicholas Price, Arthur Lowery, Kim Marriott
https://arxiv.org/abs/2505.22983

Vision-Based Assistive Technologies for People with Cerebral Visual Impairment: A Review and Focus Study
Over the past decade, considerable research has investigated Vision-Based Assistive Technologies (VBAT) to support people with vision impairments to understand and interact with their immediate environment using machine learning, computer vision, image enhancement, and/or augmented/virtual reality. However, this has almost totally overlooked a growing demographic: people with Cerebral Visual Impairment (CVI). Unlike ocular vision impairments, CVI arises from damage to the brain's visual process…

This https://arxiv.org/abs/2501.00256 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Rapid, High-resolution and Distortion-free $R_{2}^{*}$ Mapping of Fetal Brain using Multi-echo Radial FLASH and Model-based Reconstruction
Purpose: To develop a rapid, high-resolution and distortion-free technique for simultaneous water-fat separation, $R_{2}^{*}$ and $B_{0}$ mapping of the fetal brain at 3T. Methods: A 2D multi-echo radial FLASH sequence with blip gradients is adapted for data acquisition during maternal free breathing. A calibrationless model-based reconstruction with sparsity constraints is developed to jointly estimate water, fat, $R_{2}^{*}$ and $B_{0}$ field maps directly from k-space. This approach was va…

This https://arxiv.org/abs/2408.15578 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAR_…

FireFly-S: Exploiting Dual-Side Sparsity for Spiking Neural Networks Acceleration with Reconfigurable Spatial Architecture
Spiking Neural Networks (SNNs), with their brain-inspired structure using discrete spikes instead of continuous activations, are gaining attention for their potential of efficient processing on neuromorphic chips. While current SNN hardware accelerators often prioritize temporal spike sparsity, exploiting sparse synaptic weights offers significant untapped potential for even greater efficiency. To address this, we propose FireFly-S, a Sparse extension of the FireFly series. This co-optimized so…

After months of coding with an #LLM I'm going back to using my brain
https://simonwillison.net/2025/May/20/after-months-of-coding-with-llms/#ato…

When Your Favorite Song Plays, Your Brain 'Physically Embodies' Music, Science Shows
https://studyfinds.org/brain-cells-synchronize-to-music/

#news

Brain Circuits Behind Psychedelics’ Anti-Anxiety Power Decoded - Neuroscience News
Neuroscience News provides research news for neuroscience, neurology, psychology, AI, brain science, mental health, robotics and cognitive sciences.

Exploring Holography in Neuro-Vascular Dynamics
Christian Kerskens
https://arxiv.org/abs/2505.22680 https://arxiv.org/pdf/2505.22680

Exploring Holography in Neuro-Vascular Dynamics
The holonomic brain theory, originally formulated to account for the need of non-local memory encoding in cognitive systems, could gain new theoretical traction when integrated with holographic principles from physics, most notably the AdS/CFT correspondence. Recent findings in neuroscience suggest that conformal field theories (CFTs), emerging at critical points across spatiotemporal scales in neural dynamics, are essential for brain function. Concurrently, black-brane geometries, long studied…

Physiology-Informed Generative Multi-Task Network for Contrast-Free CT Perfusion
Wasif Khan, Kyle B. See, Simon Kato, Ziqian Huang, Amy Lazarte, Kyle Douglas, Xiangyang Lou, Teng J. Peng, Dhanashree Rajderkar, John Rees, Pina Sanelli, Amita Singh, Ibrahim Tuna, Christina A. Wilson, Ruogu Fang
https://arxiv.org/abs/2505.22673

Physiology-Informed Generative Multi-Task Network for Contrast-Free CT Perfusion
Perfusion imaging is extensively utilized to assess hemodynamic status and tissue perfusion in various organs. Computed tomography perfusion (CTP) imaging plays a key role in the early assessment and planning of stroke treatment. While CTP provides essential perfusion parameters to identify abnormal blood flow in the brain, the use of contrast agents in CTP can lead to allergic reactions and adverse side effects, along with costing USD 4.9 billion worldwide in 2022. To address these challenges,…

This https://arxiv.org/abs/2412.16197 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Generalizable Representation Learning for fMRI-based Neurological Disorder Identification
Despite the impressive advances achieved using deep learning for functional brain activity analysis, the heterogeneity of functional patterns and the scarcity of imaging data still pose challenges in tasks such as identifying neurological disorders. For functional Magnetic Resonance Imaging (fMRI), while data may be abundantly available from healthy controls, clinical data is often scarce, especially for rare diseases, limiting the ability of models to identify clinically-relevant features. We …

Brain-dead mother. Brain-damaged fetus. No hope for either. So torture their family by keeping both alive until the at-least horribly disabled baby can be delivered and then suffer for months or years with their brain damage. This is what "pro-life" means...
https://www.newsweek.co…

Abortion Law Forces Doctors to Keep Pregnant Brain Dead Woman Alive
"This decision should've been left to us," said the mother of a woman who is pregnant and has been brain dead for over 90 consecutive days.

#FreeLuigi

Well, maybe we’ll get swamped with excellent applications when we (hopefully) have an opening for a PhD position in fall…
But requiring French limits the candidate pool so much, I guess it won’t make any difference.
https://mastodon.social/@Sheril/114557615125630255…

fascinating episode of Neil deGrasse Tyson's #StarTalk on the gut-brain connection: #podcast #health

More brain damage-causing lead in our kids food! Another Trump win!
From: @…
https://mastodon.social/@arstechnica/114557960252218755…

DeepMultiConnectome: Deep Multi-Task Prediction of Structural Connectomes Directly from Diffusion MRI Tractography
Marcus J. Vroemen, Yuqian Chen, Yui Lo, Tengfei Xu, Weidong Cai, Fan Zhang, Josien P. W. Pluim, Lauren J. O'Donnell
https://arxiv.org/abs/2505.22685

DeepMultiConnectome: Deep Multi-Task Prediction of Structural Connectomes Directly from Diffusion MRI Tractography
Diffusion MRI (dMRI) tractography enables in vivo mapping of brain structural connections, but traditional connectome generation is time-consuming and requires gray matter parcellation, posing challenges for large-scale studies. We introduce DeepMultiConnectome, a deep-learning model that predicts structural connectomes directly from tractography, bypassing the need for gray matter parcellation while supporting multiple parcellation schemes. Using a point-cloud-based neural network with multi-t…

To Claude: Explain how smart glasses with AI-based scene description, OCR for reading print, and visual-to-auditory sensory substitution for "raw vision" will erode the market opportunities for all implantable visual prostheses (retinal implants and brain implants for restoring vision to the blind). https://

This is the future #Republicans want for you and your children

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis
Alexandra G. Roberts, Ha M. Luu, Mert \c{S}i\c{s}man, Alexey V. Dimov, Ceren Tozlu, Ilhami Kovanlikaya, Susan A. Gauthier, Thanh D. Nguyen, Yi Wang
https://arxiv.org/abs/2505.23353

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis
Quantitative susceptibility maps from magnetic resonance images can provide both prognostic and diagnostic information in multiple sclerosis, a neurodegenerative disease characterized by the formation of lesions in white matter brain tissue. In particular, susceptibility maps provide adequate contrast to distinguish between "rim" lesions, surrounded by deposited paramagnetic iron, and "non-rim" lesion types. These paramagnetic rim lesions (PRLs) are an emerging biomarker in multiple sclerosis. …

Feeling a bit down after reducing my antidepressant dose. Maybe I need to bump it back up a little. Managing my brain is a full time job 😣
#mentalhealth #depression #bipolar

Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain)
Subba Reddy Oota, Akshett Jindal, Ishani Mondal, Khushbu Pahwa, Satya Sai Srinath Namburi, Manish Shrivastava, Maneesh Singh, Bapi S. Raju, Manish Gupta
https://arxiv.org/abs/2505.20029

Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain)
Transformer-based language models, though not explicitly trained to mimic brain recordings, have demonstrated surprising alignment with brain activity. Progress in these models-through increased size, instruction-tuning, and multimodality-has led to better representational alignment with neural data. Recently, a new class of instruction-tuned multimodal LLMs (MLLMs) have emerged, showing remarkable zero-shot capabilities in open-ended multimodal vision tasks. However, it is unknown whether MLLM…

Elon should not go back to Tesla. Tesla should merge with Rivian and give the CEO position to RJ Scaringe with Musk out of any role. Tesla is where Apple was prior to the acquisition of NeXT, dead in the water without a brain transplant.

Object knowledge representation in the human visual cortex requires a connection with the language system https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3003161 "Our experiments reveal the contribution of the vision-la…

Object knowledge representation in the human visual cortex requires a connection with the language system
This study shows that communication between the visual cortex and the brain language system is necessary for the representation of object knowledge in the visual cortex and for corresponding behaviors in humans. This highlights the significance of connections between sensory and language systems for object knowledge in the human brain.

MRI Image Generation Based on Text Prompts
Xinxian Fan, Mengye Lyu
https://arxiv.org/abs/2505.22682 https://arxiv.org/pdf/2505.22682

MRI Image Generation Based on Text Prompts
This study explores the use of text-prompted MRI image generation with the Stable Diffusion (SD) model to address challenges in acquiring real MRI datasets, such as high costs, limited rare case samples, and privacy concerns. The SD model, pre-trained on natural images, was fine-tuned using the 3T fastMRI dataset and the 0.3T M4Raw dataset, with the goal of generating brain T1, T2, and FLAIR images across different magnetic field strengths. The performance of the fine-tuned model was evaluated …

The kind of brain shortcuts I'm going to talk about today are some of the things that might just be able to help move you forward if you feel stuck or if you feel frustrated with your progress http…

Self-orthogonalizing attractor neural networks emerging from the free energy principle
Tamas Spisak, Karl Friston
https://arxiv.org/abs/2505.22749 https://…

Self-orthogonalizing attractor neural networks emerging from the free energy principle
Attractor dynamics are a hallmark of many complex systems, including the brain. Understanding how such self-organizing dynamics emerge from first principles is crucial for advancing our understanding of neuronal computations and the design of artificial intelligence systems. Here we formalize how attractor networks emerge from the free energy principle applied to a universal partitioning of random dynamical systems. Our approach obviates the need for explicitly imposed learning and inference ru…

Brain study is a cute hobby, but it's about as useful as collecting stamps. We have written records of thousands of years of young adults aged 14-18 doing just fine anytime they were given the chance.
#RespectYoungAdults #StopTheHysteria

UAE-PRIME: A feasibility study of a precise robotically implanted brain-computer interface for the control of external devices https://clinicaltrials.gov/study/NCT06992596 Neuralink N1 implant feasibility study, at Cleveland Clinic Abu Dhabi, United Arab Emirates (UAE);

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

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

last of us s2e2
brain will not believe that was only 53 minutes holy shit

There's a lovely discussion on Twitter/X between humans and AI models (Grok and Perplexity) on whether a Neuralink Blindsight brain implant can provide meaningful vision to people born blind https://x.com/waleedd322/status/1927463484800835657

I have many thoughts about generative AI, but the overarching one is this: the better metaphor is not a new brain acquiring human thoughts, but a complex search engine for existing human-generated ideas.

This https://arxiv.org/abs/2505.03458 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

The classification of Alzheimer's disease and mild cognitive impairment improved by dynamic functional network analysis
Brain network analysis using functional MRI has advanced our understanding of cortical activity and its changes in neurodegenerative disorders that cause dementia. Recently, research in brain connectivity has focused on dynamic (time-varying) brain networks that capture both spatial and temporal information on cortical, regional co-activity patterns. However, this approach has been largely unexplored within the Alzheimer's spectrum. We analysed age- and sex-matched static and dynamic fMRI brain…

Elon should not go back to Tesla. Tesla should merge with Rivian and give the CEO position to RJ Scaringe with Musk out of any role. Tesla is where Apple was prior to the acquisition of NeXT, dead in the water without a brain transplant.

This https://arxiv.org/abs/2412.17820 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Hyperbolic embedding of brain networks can predict the surgery outcome in temporal lobe epilepsy
Epilepsy surgery, particularly for temporal lobe epilepsy (TLE), remains a vital treatment option for patients with drug-resistant seizures. However, accurately predicting surgical outcomes remains a significant challenge. This study introduces a novel biomarker derived from brain connectivity, analyzed using non-Euclidean network geometry, to predict the surgery outcome in TLE. Using structural and diffusion magnetic resonance imaging (MRI) data from 51 patients, we examined differences in str…

#uspol Federal grants that my mom's department uses to study long-term care for people with Alzheimer's disease have been withdrawn, and an accompanying letter bearing RFK Jr.'s signature decried their work as unscientific and a waste of money.
This is especially sad to our family as her father/my grandfather had Alzheimer's for many years before he passed.
To sus…

Alzheimer's Association | Alzheimer's Disease & Dementia Help
Alzheimer's Association national site – information on Alzheimer's disease and dementia symptoms, diagnosis, stages, treatment, care and support resources.

This https://arxiv.org/abs/2504.12527 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Analysis of the MICCAI Brain Tumor Segmentation - Metastases (BraTS-METS) 2025 Lighthouse Challenge: Brain Metastasis Segmentation on Pre- and Post-treatment MRI
Despite continuous advancements in cancer treatment, brain metastatic disease remains a significant complication of primary cancer and is associated with an unfavorable prognosis. One approach for improving diagnosis, management, and outcomes is to implement algorithms based on artificial intelligence for the automated segmentation of both pre- and post-treatment MRI brain images. Such algorithms rely on volumetric criteria for lesion identification and treatment response assessment, which are …

Cephalopods, vision's next frontier https://www.thetransmitter.org/vision/cephalopods-visions-next-frontier/ "visual systems work best when information is organized spatially"; now looking for a species that does vision that is organized…

Cephalopods, vision’s next frontier
For decades, scientists have been teased by the strange but inaccessible cephalopod visual system. Now, thanks to a technological breakthrough from a lab in Oregon, data are finally coming straight from the octopus brain.

I'm 37 years old and I finally finished a #JRPG game for the first time in my life ( #SeaOfStars ).
I like them a lot, but I often get bored of the grinding, or I have to leave it for some time and when I come back I don't remember what I was doing.
Why I managed to finish it this time? Because I had more important, stressing and boring things to do instead, and my brain demanded procrastination. #ADHD

Recently I had a flashback to me telling a friend that I was about to start learning a new concept in programming. Classes. I remember feeling nervous because I felt it was this huge complicated topic, and I already felt my brain was 'full' so-to-speak with programming knowledge. Well that was years ago and now I can't imagine not using classes. It's amazing to look back and see progress! #coding

I read "Then I Am Myself the World: What Consciousness Is and How to Expand It" by Christof Koch.
Interesting book which spends like 8 or 9 chapters detailing all the experiments which prove beyond much doubt that consciousness, and self awareness, is a thing done by a brain.
It describes how perception is a construction of a description, has a chapter called "computational mind"
And then spends the last two chapters describing why he thinks the mind can't be computed, because drugs have made him think experience is some kind of magic associated with highly interconnected causal structures.
Apparently, he thinks, once things become interconnected enough they become able to cause things independently of the physics running those connections.
Which is crazy, obviously. There's nothing causal in direct connections between neurons that isn't equally causal in modeled connections between virtual neurons.
All his evidence in the book from neural MRI scans to the effects of psychedelic drugs and symptoms of strokes and disease point to the brain simulating a virtual reality which is the basis of perception.
That simulated world in which we live is full of colour and shape and sounds and emotions and millions of mental constructs that are built to be correlated by the senses with the outside world, but are not equal to the world itself. We live in a dream constructed to correlate with reality.
But then instead of taking the next step: That consciousness itself is a property of a simulated being inside that mental model of the universe, a property which the brain simulates and applies to the virtual self that's doing the experiencing inside that model, he jumps towards some magic implying pan-psychism or that sufficiently interconnected networks become causally self-complete for some reason nobody can fathom.
Sure, colour and shape and emotions are all made up by the brain but experience can't be! For some reason.
You see in truth dualism is false, in that there is no spirit realm in which ghosts animate the matter of the body somehow.
Yet also, dualism is true, in that there is a simulated mental reality which we live in, computed by the brain in which all perception and experience are created, which is related-to but separate-from the unfolding complicated dance of energy that is the universe our bodies interact with.
People take some DMT trip, and the model of the universe emulated by their brain collapses and breaks. Their virtual simulated self inside their mind has these experiences of being one with the universe or the experience of feeling dead yet conscious or whatever, and these hippies think that the broken down simulated experience is real and reflects how consciousness is more fundamental than the atoms that make up the neurons in their brain.
Instead of realizing it shows them that their experienced universe is a simulacrum, they think they get a more direct experience of reality somehow. A consciousness more pure than any mere base atom.
"Then I am myself the world" is a great title. Everything you ever experience is created and simulated in your brain like a dream, the whole universe is inside your head. Even the fact of experience itself.
But that isn't the conclusion Koch reaches somehow, he just jumps from describing the evidence that this is so straight into ascribing super-causal magic consciousness to particular arrangements of atoms that integrated information theory suggest have high correlation, and thinks therefore conciousness is itself the entire universe.
Ah well, fun book. I like arguing in my head with authors that are wrong.
#reading #books #consciousness #thenIAmMyselfTheWorld

Policies. Gotta know them. Can't spend time reading them. The NTs way of doing shit. My AuDHD brain is now cooked. :|
#audhder #actuallyautistic #autistic

ChatGPT: "Smart glasses combining AI scene understanding, OCR, and sensory substitution are decisive market disruptors" https://chatgpt.com/share/68349bdd-b670-8004-8788-893ca3f98ae5
"They render visual implants:
- Less competitive i…

ChatGPT - Tafelberaad Reflectieanalyse
Shared via ChatGPT

The brain is by far the least understood part of the human body.
Drawing conclusions about what should be illegal for whom based on junk fMRI studies is atrociously stupid.
#RespectYoungAdults

This https://arxiv.org/abs/2505.18361 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_qbi…

Task-Optimized Convolutional Recurrent Networks Align with Tactile Processing in the Rodent Brain
Tactile sensing remains far less understood in neuroscience and less effective in artificial systems compared to more mature modalities such as vision and language. We bridge these gaps by introducing a novel Encoder-Attender-Decoder (EAD) framework to systematically explore the space of task-optimized temporal neural networks trained on realistic tactile input sequences from a customized rodent whisker-array simulator. We identify convolutional recurrent neural networks (ConvRNNs) as superior …

Policies. Gotta know them. Can't spend time reading them. The NTs way of doing shit. My AuDHD brain is now cooked. :|
#audhder #actuallyautistic #autistic