Don't miss! โคต ๐๐๐ง๐๐ฌ-๐จ๐ง ๐๐จ๐ฎ๐ซ๐ฌ๐ ๐จ๐ง ๐๐๐๐๐๐๐: ๐๐๐ง๐ข๐ฉ๐ฎ๐ฅ๐๐ญ๐ข๐ง๐ ๐๐ง๐ ๐๐ง๐ฏ๐๐ฌ๐ญ๐ข๐ ๐๐ญ๐ข๐ง๐ ๐๐๐ฎ๐ซ๐๐ฅ ๐๐ฒ๐ง๐๐ฆ๐ข๐๐ฌ ๐๐จ๐ซ ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐ ๐๐ข๐ง๐ ๐ข๐ง ๐ญ๐ก๐ ๐๐ซ๐๐ข๐ง, ๐๐-๐๐ ๐๐จ๐ฏ๐๐ฆ๐๐๐ซ ๐๐๐๐, ๐๐๐ฌ๐ญ๐๐ฅ๐ฅ๐๐๐๐๐ฅ๐ฌ/๐๐๐ซ๐๐๐ฅ๐จ๐ง๐, ๐๐ฉ๐๐ข๐ง In collaboration with the Laserlab-Europe project, ICFO is offering a training school to introduce cutting edge technologies to study #neuroscience at the molecular, cellular and systems level to students in a combination of lectures and hands-on experience leading to group projects. This ๐-๐๐๐ฒ ๐๐จ๐ฎ๐ซ๐ฌ๐ย is aimed at studentsย andย researchersย who are interested in learning about state-of-the-art #photonics-based technologies designed to monitor various scales in the study of the #brain. The course program includes a combination of lectures and lab sessions. Additionally, social and networking activities are planned to enhance participant engagement. โก More info: https://lnkd.in/eDSUxjez
Laserlab-Europeโs Post
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New Paper alert! Now published in Cell Press - @Current Biology ๐ฅ ๐ฃ Resulting from a large collaboration between the Donders Institute for Brain, Cognition, and Behaviour, Bangor University, and Institut des Sciences Cognitives Marc Jeannerod, UMR 5229 CNRS !! In a set of experiments we bring evidence that the visual sensitivity to social interactions is supported by activity of a visual occipitotemporal region in the left hemisphere - i.e. the left Extrastriate Body Area (lEBA). We do this bringing converging evidence from multiple neuroscientific methods: via correlational methods (fMRI - functional magnetic resonance imaging) we show that activity of lEBA is associated with the perception of face-to-face human dyads stimuli; via causal methods (TMS - Transcranial magnetic brain stimulation) we crucially show that interfering online with this region reduces behavioural effects (replicated here in this study) indicative of such sensitivity to social interactions. Very proud of this collaboration with Etienne ABASSI Eva Balgova Paul Downing @Liuba Papeo Kami Koldewyn that went through pandemic-related disruptions and that - most importantly - closes the loop between brain activity and behaviour using correlational and causal methods!! Link: https://lnkd.in/dnPeU9fw
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BioAmp EXG Pill is now available in pre-soldered version on almost all our online stores. A lot of students were finding it difficult to solder the header pins and JST Ph 2.0 connector on the BioAmp EXG Pill in order to start using it. So finally after a lot of requests we have decided to pre-solder everything before shipping it to the customers. List of all our online stores: https://buff.ly/3ugbl7r What do you think about this decision? Let us know in the comments! About BioAmp EXG Pill: It is a publication grade pill size sensor using which you can record and visualize various biopotential signals from your body be it from eyes (EOG), muscles (EMG), heart (ECG) or even brain (EEG). Students and researchers in more than 50 countries are using it to explore the field of neuroscience by making amazing HCI (Human Computer Interface) and BCI (Brain Computer Interface) projects. #upsidedownlabs #opensource #bci #hci #neuroscience
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Math puzzles can trigger stress, but here's a study that leverages EEG signals from our #Enobio to delve into the changes in relative band power during both math tasks and relaxation. And how did the researchers achieve this? ๐งฎ๐ค The EEG data from our Enobio was processed and analyzed, showing changes in #EEG relative band power during both math tasks and relaxation with audio-visual stimuli. ๐ Using Long Short Term Memory (LSTM) deep learning models, they achieved an impressive 86% accuracy in classifying mental states, especially in the beta band. Curious to dive deeper into this fascinating research? ๐ Check out the study here at IEEE: https://lnkd.in/dCvVJbkG Kudos to Rashmi C R and shantala cp from Channabasaveshwara Institute of Technology, Gubbi #research #medtech #Electroceuticals #Technology #Healthtech #Healthcare #Science #Innovation #Study #ResearchArticle #Neuroscience #Neurotechnology #Electroencephalography
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GIKI'21 | MITx 2x DS | Data Scientist & AI Engineer ( IBM certified) | Deep learning & Machine learning (Stanford) | Artificial intelligence | NLP | Computer Vision | GANs | Generative AI | AWS | Langchain | OpenAI
Done & Dusted (4/4) ๐ Excited to share that I've just completed the "Neuroscience and Neuro imaging" Specialization! ๐ Special thanks to The Johns Hopkins University and instructors Tor Wager University of Colorado Arnold Bakker Martin Lindquist Elizabeth Sweeney Ciprian M. Crainiceanu John Muschelli III. This specialization combines the strength of 4 different neuroscience courses into a cohesive learning experience. Taught by Johns Hopkins University, it begins with fundamental neuroscience concepts for neuroimaging. Neuroimaging methods are used with increasing frequency in clinical practice and basic research. Starting with the neuroanatomy of the brain, it then moves into principles of neuroimaging, including experimental design in neuroimaging, functional connectivity MRI, diffusion tensor imaging and spectroscopy imaging. The specialization then continues with two courses that focus on Functional Magnetic Resonance Imaging, one of the most widely used techniques for investigating the living, functioning human brain as people perform tasks and experience mental states, and a convergence point for multidisciplinary work. To conclude, the specialization moves into implementation of neurohacking using the R programming language, with the associated packages to perform data manipulation, processing, and analysis of neuroimaging data, using publicly available structural MRI. Applied Learning Project Learners will go from fMRI data design, structure and acquisition to using the R programming language and its associated package to perform manipulation, processing, and analysis of neuroimaging data. Specifically, you will learn how to read/write images of the brain in NIfTI format, visualize and explore these images, perform inhomogeneity correction, brain extraction, and image registration (within a subject and to a template). Huge thanks to everyone involved in this amazing learning experience. Ready to apply these new skills and insights to advance our understanding of the brain! ๐ง ๐ก #Neuroscience #fMRI #BrainResearch #ContinuousLearning #MultidisciplinaryScience #PublicHealth #MentalHealth #DataAnalysis #LifelongLearning
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Using Raw EEG, researchers are finding ways to understand best how students learn visually by using real-time brain wave data. These neuroscience findings could help advance education research and help tailor education to different learning styles. See more of the research from Soyiba Jawed (Brno University of Technology/ Vysokรฉ uฤenรญ technickรฉ v Brnฤ), Ibrahima Faye (Universiti Teknologi PETRONAS ), and Aamir Saeed Malik (Universiti Teknologi PETRONAS) at IEEE Early Access for TNSRE: https://lnkd.in/enskJPnN #EEG #deeplearning #Neuroscience #brainscience #neurotechnology
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๐๐ผ๐ ๐๐๐ฎ๐ฟ-๐๐ต๐ฎ๐ฝ๐ฒ๐ฑ ๐ฐ๐ฒ๐น๐น๐ ๐ถ๐ป๐ฐ๐ฟ๐ฒ๐ฎ๐๐ฒ ๐ณ๐น๐ฒ๐ ๐ถ๐ฏ๐น๐ฒ ๐น๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด: Star-shapedย glial cells, so-calledย astrocytes, are more than just a supporting cell of theย brain. They are actively involved in learning processes and interact with theย nerve cells. But what exactly is it that astrocytes do? Researchers at the University Hospital Bonn (UKB) and the University of Bonn are using a biophysical model to clarify how astrocytes interact with nerve cells to regulate rapid adaptation to new information. The results of the study have now been published in the journal "Nature Communications Biology". ๐ฅ๐ฒ๐ฎ๐ฑ ๐บ๐ผ๐ฟ๐ฒ: https://lnkd.in/eQEFtuhv Rheinische Friedrich-Wilhelms-Universitรคt Bonn, Tatjana Tchumatchenko, Lorenzo Squadrani, Kirsten Bohmbach, Prof. Christian Henneberger
How star-shaped cells increase flexible learning
bionity.com
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Professor of Pharmacognosy, Natural Products Chemistry and Food Chemistry, Pharmacognosy Department, Faculty of Pharmacy, Ain-Shams University, Cairo, Egypt
Wired to learn and remember New research unveils how spinal cord nerve cells can learn and rememberโcompletely independent of the brain The role of the spinal cord is often simplified to that of a simple relay station, carrying messages between the brain and the body. However, the spinal cord can actually learn and remember movements on its own. A team of researchers at the Leuven-based Neuro-Electronics Research Flanders (NERF) details how two different neuronal populations enable the spinal cord to adapt and recall learned behavior in a way that is completely independent of the brain. These remarkable findings, published today inย Science, shed new light on how spinal circuits might contribute to mastering and automating movement. The insights could prove relevant in the rehabilitation of people with spinal injuries.ย https://lnkd.in/dw5sr8yd
Wired to learn and remember
eurekalert.org
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Applied Researcher in Industry | NLP | CV | Deep Learning | Data Science | Algorithms Design | DSP | HPC | Hardware | ENFJ-A @ Wirtualna Polska
A recent study titled "MindEye2: Shared-Subject Models Enable fMRI-To-Image With 1 Hour of Data," published on arXiv, has marked a significant milestone in the field of neuroscience and brain-computer interfaces. Led by Paul S. Scotti alongside a team of distinguished researchers, this innovative work introduces a revolutionary approach to reconstructing visual perception from brain activity. ๐ Key Highlights: - Revolutionizing Efficiency: The MindEye2 model drastically reduces the need for extensive fMRI data collection, achieving high-quality visual reconstructions from just one hour of training data per subject. - Innovative Methodology: The research introduces a cutting-edge functional alignment procedure that maps brain data to a shared-subject latent space, then transitions through CLIP image space, and finally into pixel space, utilizing Stable Diffusion XL for the process. - Benchmark Setting Results: The study not only enhances generalization across subjects with limited data but also establishes new standards in image retrieval and reconstruction metrics. ๐ Broader Impact and Accessibility: This study demonstrates the feasibility of accurate perception reconstructions from a single MRI session, potentially transforming the landscape of brain-computer interface research. Furthermore, the research team has made all related code publicly available on GitHub, encouraging further advancements in the field. ๐ Explore the full study here: https://lnkd.in/dKqj6_ub This achievement represents a significant leap forward in our understanding and capability within brain-computer interfaces and neuroscience. Congratulations to Paul S. Scotti and the entire research team for their groundbreaking work and contribution to the future of technology and science. #BrainComputerInterface #Neuroscience #fMRI #VisualPerception
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3D reconstruction of a piece of human brain to date, which is about half the size of a rice grain. What a breakthrough in Neuroscience! Excellent work done by #Harvard University and #Google ๐จ๐ฌ Scientists from Harvard University and Google teamed up to make a big leap in understanding the brain. They created a super detailed 3D map of a tiny piece of a human brain. This might sound small, but that tiny piece contains a ton of information - like 57,000 cells, 230 millimeters of blood vessels and 150 million synapses (connections), all amounting to 1,400 terabytes of data. This is the most detailed map of a human brain ever made. ๐ง A Harvard team led by Jeff Lichtman, the Jeremy R. Knowles Professor of Molecular and Cellular Biology and newly appointed dean of science, has co-created with Google researchers. These scientists have been working together for almost 10 years. They've used special microscopes and computer programs to image the brain and figure out how all the parts are connected. Their ultimate goal is to map an entire mouse brain, which would be much bigger and even more complex. Even though this map is from a tiny piece of brain, it shows some surprising things:- For example, they found some extra strong connections between cells and some unusual loops made by other brain parts. They're not sure if these are normal or because the brain came from someone with #epilepsy. This kind of research, called #connectomics, is like making a complete catalog of all the parts in your brain and how they're connected. By understanding the brain better, scientists hope to learn more about how we think and what goes wrong in brain diseases. A significant step forward in brain mapping! Researchers are now closer to creating a complete map of a mouse brain. #Neuroscience #BrainResearch #3DReconstruction #Breakthrough #Connectomics #Synapses #HarvardUniversity #GoogleResearch #Collaboration Thank you Harvard University and Google ๐
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Researchers at the Center for the Study of Movement, Cognition, and Mobility in the Neurological Institute at the Tel Aviv Medical Center carried out a Kaggle machine learning contest to improve the automated detection of freezing of gait (FOG). FOG occurs in many, but not all people who have Parkinsonโs disease. People who have FOG report that their feet are โgluedโ to the ground. This negatively impairs their mobility and independence and often leads to falls and, eventually, confines the person to a wheelchair.ย The results of the contest were recently published in Nature Communications. The lead authors were Amit Salomon, Eran Gazit, and Jeff Hausdorff. The open-access paper is found here: https://lnkd.in/dTXiRD7a The paper includes a link to the Python code of the winners.ย The work was funded by the Michael J Fox Foundation for Parkinsonโs Research and Kaggle. Prof. Ronni Gamzu Eli Sprecher Jeff Hausdorff Amit Salomon Eran Gazit Galit Cohen Benjamin Soffer Haleli Sharir Rozin Ram #ParkinsonsDiseaseResearch #FreezeOfGait #MachineLearning #Neuroscience #MobilityImpairment
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