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# UAB Neurotechnology

## Sitemaps
[XML Sitemap](https://www.brainaccess.ai/sitemap_index.xml): Includes all crawlable and indexable pages.

## Posts
- [BrainAccess Board Gets a Major Update: New Interface, Updated Functionalities, and AI Support](https://www.brainaccess.ai/brainaccess-board-gets-a-major-update-new-interface-updated-functionalities-and-ai-support/): We're releasing a significant update to the BrainAccess Board desktop application. This release focuses on three things: a rebuilt interface, improved functionality, and a new set of tools for working with recordings, including an integrated AI assistant, Jena, that helps you monitor device and signal quality in real time. In this post, you can find a full rundown of what has changed.
- [BrainAccess EEG Now Speaks MATLAB](https://www.brainaccess.ai/brainaccess-eeg-now-speaks-matlab/): We're excited to announce the release of the BrainAccess MATLAB API, a native toolbox that lets you connect to BrainAccess EEG devices and acquire data directly from desktop MATLAB.
- [From Jena to Jena: A Short History of EEG](https://www.brainaccess.ai/from-jena-to-jena-a-short-history-of-eeg/): In 1924, a flickering line on a strip of paper in a Jena hospital room started the field of EEG. A hundred years later, we're telling that story and revealing why we just named our new update after the city where it all began.
- [Understanding Hyperscanning and Why BrainAccess Is Built for It](https://www.brainaccess.ai/understanding-hyperscanning-and-why-brainaccess-is-built-for-it/): Hyperscanning means recording EEG from two or more people at once while they interact, instead of studying one brain at a time. Researchers use it to see whether people's brain activity synchronize during things like music duets, cooperative or competitive games, and even flight simulations with pilot pairs. Running these studies is technically tricky, since it means keeping multiple devices synchronized and monitoring signal quality across everyone at once. This is exactly what platforms like BrainAccess are built to handle.
- [Can a VR Headset Make You a Better Footballer? A Study with BrainAccess MAXI Says Yes](https://www.brainaccess.ai/can-a-vr-headset-make-you-a-better-footballer-a-study-with-brainaccess-maxi-says-yes/): As football takes center stage with the World Cup 2026 underway, an interesting question emerges: how should the next generation of players train? A recent preprint from Turkish researchers found that young professional footballers who trained with VR outperformed those using traditional methods in balance, speed, and strength, with measurable neurological changes tracked via the BrainAccess MAXI EEG system. The edge VR offers is not just physical but neurological, suggesting next-generation training should challenge the brain and the body at once.
- [A Guide to EEG Electrode Placement: The 10–20 System Explained](https://www.brainaccess.ai/a-guide-to-eeg-electrode-placement-the-10-20-system-explained/): If you are thinking about conducting EEG research, you may have come across the term International 10–20 System, often used when referring to electrode positions on an EEG cap. But what does it actually mean? In this article we provide a short overview and discuss why it still so important in EEG research today.
- [From Literature to Live Data: LLMs as Full-Cycle Research Companions](https://www.brainaccess.ai/from-literature-to-live-data-llms-as-full-cycle-research-companions/): For decades, the challenge in neuroscience has not only been collecting brain data, it has been making sense of it. EEG signals are noisy, high-dimensional, and shaped by dozens of interacting variables. Interpreting them well has traditionally required years of specialist training. But a growing body of evidence suggests that large language models (LLMs) may be quietly changing that equation: not just as tools for text generation, but as genuine partners in scientific reasoning.
- [When Sound Becomes Medicine: BrainAccess HALO in Music Therapy Research](https://www.brainaccess.ai/when-sound-becomes-medicine-brainaccess-halo-in-music-therapy-research/): Can lying on a vibrating table listening to carefully crafted audio actually change your brain? A team of Portuguese engineers built a system to find out and the results are surprisingly measurable.
- [Multimodal Integration: How Your Experiment Can Benefit from Multiple Modalities](https://www.brainaccess.ai/multimodal-integration-how-your-experiment-can-benefit-from-multiple-modalities/): In this article, we explore multimodal integration, the practice of combining signals from different sensors in the same experiment to build a richer, more reliable picture of brain activity, cognitive states, and physiology. At BrainAccess, this is a direction we are actively building toward, with two major developments in the pipeline: a new HALO headband combining EEG, fNIRS, and EOG/eye tracking in one wearable, and the MINI ExG system bringing multiple biosignal modalities together in a single, fully synchronised device.
- [Cleaner Brain Signals with ATAR: a tunable wavelet algorithm](https://www.brainaccess.ai/cleaner-brain-signals-with-atar-a-tunable-wavelet-algorithm/): EEG is one of the most powerful tools we have for reading brain activity in real time. But raw EEG signals are messy, full of noise from muscle movements, eye blinks, heartbeats, and motion. Cleaning that noise without discarding genuine neural information is one of the central challenges of brain-computer interface design. Meet ATAR, a tunable wavelet algorithm that is changing EEG artifact removal especially for compact, few-channel devices.
- [BrainAccess Sponsors Brainhack Warsaw 2026](https://www.brainaccess.ai/brainaccess-sponsors-brainhack-warsaw-2026/): We're thrilled to announce that BrainAccess is a proud sponsor of Brainhack Warsaw 2026 — one of Poland's most exciting neuroscience community events.
- [Is More Channels Always Better? A practical guide to EEG electrode count trade-offs](https://www.brainaccess.ai/is-more-channels-always-better-a-practical-guide-to-eeg-electrode-count-trade-offs/): When researchers encounter a new EEG system, one of the first numbers they look at is the channel count. More must be better, right? The answer, as with most things in neuroscience, is: it depends. The number of electrodes shapes what you can measure, where you can do it, and who will realistically wear the device. Understanding this trade-off is one of the most useful things you can do before choosing a system or interpreting data collected with one.
- [Inside & Around the Ear: Brain Signals Without the Cap](https://www.brainaccess.ai/inside-around-the-ear-brain-signals-without-the-cap/): A new generation of tiny EEG devices sits inside or just around your ear. Here's what they can measure, why they matter, and what they might soon do for you.
- [Can Your EEG Read Your Eyes?](https://www.brainaccess.ai/can-your-eeg-read-your-eyes/): Eye tracking usually requires a dedicated device. A growing body of research suggests that EEG alone — even from a small number of electrodes — can tell us a surprising amount about where you're looking.
- [The Architecture of Thought: An Overview of the Most Popular BCI Protocols with EEG](https://www.brainaccess.ai/the-architecture-of-thought/): A technical survey of the three most robust EEG-based BCI paradigms: how they work, why they work, and where the field can push next.
- [ZUNA: A Foundation Model Built for Real-World EEG](https://www.brainaccess.ai/zuna-a-foundation-model-built-for-real-world-eeg/): Earlier this month, Zyphra released ZUNA, a new foundation model purpose-built for EEG data. We read the paper, dug into the architecture, and came away genuinely excited. This is the kind of infrastructure-level work that could reshape how the entire field handles noninvasive brain signals, and it aligns closely with what we're building at BrainAccess. Here's a summary of what ZUNA does, how it works, and why we think it matters.
- [How Researchers Used BrainAccess MIDI to Boost Teen Focus by 57%](https://www.brainaccess.ai/how-researchers-used-brainaccess-midi-to-boost-teen-focus-by-57/): A team from Romania's Informatics Association for the Future built a personalized, AR-powered attention trainer for adolescents with BrainAccess MIDI, our 16-channel headset at its core.
- [How Machine Learning is Transforming Brain-Computer Interfaces](https://www.brainaccess.ai/how-machine-learning-is-transforming-brain-computer-interfaces/): Brain-computer interfaces (BCIs) are entering a new era. The combination of electroencephalography (EEG) and machine learning is reshaping how we measure, understand, and interact with the human brain.
- [Invasive vs. Non-Invasive BCIs: Applications, Implications, and the Road Ahead](https://www.brainaccess.ai/invasive-vs-non-invasive-bcis-applications-implications-and-the-road-ahead/): From restoring movement in paralyzed patients to enabling hands-free interaction with digital devices, Brain-Computer Interface (BCI) technology is rapidly evolving. But not all BCIs are created equal. The field is broadly divided into invasive and non-invasive systems, each with distinct advantages, challenges, and future trajectories.
- [Can EEG Predict Diabetes Events? A Pilot Study Using MINI Device](https://www.brainaccess.ai/can-eeg-predict-diabetes-events-a-pilot-study-using-mini-device/): For millions of people living with Type 1 diabetes (T1D), dangerous blood sugar swings can strike without warning, especially during sleep. But what if your brain could sound the alarm before a crisis hits? A new pilot study from the University of Žilina using BrainAccess MINI kit explores whether monitoring brain activity with a portable EEG device could predict life-threatening hypoglycemic and hyperglycemic events.
- [The Dawn of Biocomputers: Where Biology Meets Computing](https://www.brainaccess.ai/the-dawn-of-biocomputers-where-biology-meets-computing/): Imagine a computer that doesn’t rely on silicon chips and electricity alone, but instead harnesses the power of living cells. This isn’t science fiction, it’s the emerging reality of biocomputers, a revolutionary fusion of neuroscience, biotechnology, and computer engineering.
- [Attention and Distraction in Young Drivers: an Open-Access Dataset collected with BrainAccess MIDI](https://www.brainaccess.ai/attention-and-distraction-in-young-drivers-an-open-access-dataset-collected-with-brainaccess-midi/): The BrainAccess MIDI has been used to collect an open-access dataset which offers fresh insight into how attention, response inhibition, and distraction shape brain activity in young adults. 
- [BrainAccess MINI featured in real-world prosthetic research](https://www.brainaccess.ai/brainaccess-mini-featured-in-real-world-prosthetic-research/): We are excited to share that BrainAccess MINI has been featured in a recent conference paper (Kubascik, Karpis, Sevcik, 2025) showcasing its use in an applied Human-Computer Interaction (HCI) and prosthetic control research setting. The study focuses on one of the hardest and most impactful problems in prosthetic research today: synchronizing multiple biosignals in time. Modern prosthetic systems rarely rely on a single signal; they integrate EEG, EMG, and motion sensors to capture intention, execution, and feedback. For these systems to be responsive and reliable, all signals must be precisely aligned in time, a requirement that directly affects the daily lives of more than 57 million people worldwide living with limb loss.
- [Predicting Health from Sleep: Why EEG Shouldn’t Stand Alone](https://www.brainaccess.ai/predicting-health-from-sleep-why-eeg-shouldnt-stand-alone/): Sleep is one of the few moments in the day when the body's language becomes more predictable across different modalities. Breathing rhythms stabilize, muscle tone changes, the heart cycles through distinct autonomic states, and the brain produces recognizable patterns, such as slow waves, spindles, and Rapid Eye Movements (REM) stage dynamics. Foundation models are now starting to combine these information to extract meaninful biomarkers associated to diesease risk prevention and the results are remarkable.
- [The Outlier Problem: Why Humans Still Beat LLMs at Exceptional Ideas](https://www.brainaccess.ai/the-outlier-problem-why-humans-still-beat-llms-at-exceptional-ideas/): A recent Nature Human Behaviour study (Wang et al., 2025) did something refreshingly concrete: it compared divergent creativity in humans vs large language models (LLMs) at scale, using a standardized task and algorithmic scoring. The headline was nuanced: humans are slightly more creative on average, but the biggest gap shows up at the extreme. In other words, humans have a much “fatter” right tail (exceptional creativity), while LLM outputs are more uniform and repetitive. 
- [Heroes of the Brain 2025 – The Neurohackathon sponsored by BrainAccess](https://www.brainaccess.ai/heroes-of-the-brain-2025-the-neurohackathon-sponsored-by-brainaccess/): Last weekend (November 29-30), we had the pleasure of sponsoring and participating in Heroes of the Brain 2025, a 24-hour neurohackathon organized by KN Neuron at the Wrocław University of Science and Technology in Poland and dedicated to creativity, neuroscience, and real-world problem solving.
- [What EEG Reveals About the Consumer Brain on Black Friday and Cyber Monday](https://www.brainaccess.ai/what-eeg-reveals-about-the-consumer-brain-on-black-friday-and-cyber-monday/): Black Friday and Cyber Monday bombard shoppers with irresistible discounts, triggering a flurry of neural activity as we decide whether to purchase that deal or not. Electroencephalography (EEG) records brain waves in real time, offering unique insight into these rapid-fire consumer responses. In fact, EEG studies show that the sight of a bargain immediately engages brain reward circuits and attention networks, reflecting processes of value evaluation, emotional arousal, and decision-making within fractions of a second. In this post, we explore what neuroscientists have learned about the consumer brain on “sale fever” and how this knowledge is opening new frontiers in Neuromarketing.
- [The Power of Dual Sensing: Combining EEG and fNIRS in Wearable Headbands](https://www.brainaccess.ai/the-power-of-dual-sensing-combining-eeg-and-fnirs-in-wearable-headbands/): The field of neurotechnology is evolving at an extraordinary pace, with wearable devices reshaping the way we study the human brain in natural, everyday settings. As these technologies become increasingly portable, affordable, and user-friendly, researchers can now collect high-quality neural data outside traditional laboratory environments, without the need for bulky equipment or controlled conditions.
- [BrainAccess Release 2025: More Adaptable and Versatile Than Ever](https://www.brainaccess.ai/brainaccess-release-2025-more-adaptable-and-versatile-than-ever/): We are excited to announce a new official release for BrainAccess, our complete EEG hardware-software ecosystem designed to make high-quality brain data collection accessible beyond the lab.This release marks a major milestone in our mission to empower researchers, developers, and innovators with professional-grade EEG tools that are affordable, portable, and ready for real-world applications.
- [Lab Streaming Layer (LSL) Gets Its Reference Paper](https://www.brainaccess.ai/lab-streaming-layer-lsl-gets-its-reference-paper-a-milestone-for-neuroscience-research/): For over a decade, Lab Streaming Layer (LSL) has quietly transformed the way neuroscience and biomedical researchers collect and synchronize data. From brain-computer interfaces (BCI) to hyperscanning and Mobile Brain/Body Imaging (MoBI), LSL has become the de facto standard for streaming multimodal biosignals in real time. Researchers using the tool can now refer to a new published paper. 
- [Neural Speech Tracking: From Lab Tool to Real-World Benchmark](https://www.brainaccess.ai/neural-speech-tracking-from-lab-tool-to-real-world-benchmark/): Over the past decade, neural speech tracking has grown from a niche analytical tool into one of the most reliable ways to study how the brain processes natural, continuous speech. But what exactly does this mean, and why has the method gained so much momentum?
- [From Brain to Bytes: How EEG Data is Captured](https://www.brainaccess.ai/from-brain-to-bytes-how-eeg-data-is-captured/): Have you ever wondered how brain activity becomes the waves and numbers you see in EEG software? At BrainAccess, this is our daily challenge: transforming faint electrical whispers of the brain into clear, reliable digital data that researchers, developers, and innovators can use.
- [Can a Headband Read Your Mind? Debunking EEG Myths](https://www.brainaccess.ai/can-a-headband-read-your-mind-debunking-eeg-myths/): Wearable EEG headsets like our BrainAccess Halo are becoming increasingly prevalent in research labs, classrooms, sports training facilities, and even at home. They look sleek, they connect wirelessly, and yes… they measure your brain’s activity in real time.
- [Dry-contact EEG electrodes: materials, trade-offs, and our choice](https://www.brainaccess.ai/dry-contact-eeg-electrodes-materials-trade-offs-and-our-choice/): Dry-contact electrodes make EEG faster to set up and easier to reuse. No more gel, no more sticky set ups, no more unhappy participants leaving the lab with dirty messy hair, and no more extra time needed for the cap to dry in between subjects. Dry electrodes allow fast, easy access to Electroencephalography (EEG) data, making it portable and fully mobile, to carry out research even in the field.
- [EEG Cap Restock Update — New Models Incoming!](https://www.brainaccess.ai/eeg-cap-restock-update-new-models-incoming/): We’re happy to announce that we have redesigned our EEG caps to offer better fit, comfort, and performance!
- [EEG Foundation Models: Unlocking the Next Generation of Neurotechnology](https://www.brainaccess.ai/eeg-foundation-models-unlocking-the-next-generation-of-neurotechnology/): In the past decade, Artificial Intelligence (AI) has gone through a radical evolution. At the heart of this revolution are foundation models, large, general-purpose models that learn from massive datasets and can be adapted to many tasks with minimal extra training. The most famous example are Large Language Models (LLMs), like GPT-4, which have transformed the way we interact with machines through natural language.
- [BrainAccess at IOP 2025 in Krakow](https://www.brainaccess.ai/brainaccess-at-iop-2025-in-krakow/): From July 8-11, the BrainAccess team attended the 22nd World Congress of Psychophysiology (IOP 2025) in Krakow, Poland. It was an exciting opportunity to connect with researchers, innovators, and professionals from around the world.
- [Open-Source EEG Analysis Tools: Making Brain Research More Accessible](https://www.brainaccess.ai/open-source-eeg-analysis-tools-making-brain-research-more-accessible/): Open science has transformed neurotechnology research, giving even small teams access to powerful robust tools developed by the community. Early-career researchers and neuroscience enthusiasts entering EEG/MEG data analysis can benefit immensely from open-source software. These tools not only save costs but also foster collaboration and rapid innovation.
- [Rethinking Education with EEG: Hyperscanning, AI, and the Future of Learning](https://www.brainaccess.ai/rethinking-education-with-eeg-hyperscanning-ai-and-the-future-of-learning/): In an era where personalized education and real-time feedback are becoming essential, the role of brain-computer interface (BCI) technologies, particularly electroencephalography (EEG), is more relevant than ever. Once confined to laboratories, EEG has now the potential to step into classrooms, lecture halls, and even virtual learning environments, thanks to advances in portability, affordability, and AI integration.
- [Neurofeedback in the Real World: From Training your Brain to improve Mental Health](https://www.brainaccess.ai/neurofeedback-in-the-real-world-from-training-your-brain-to-improve-mental-health/): Neurofeedback is a method that trains individuals to consciously regulate their brain activity through real-time feedback from EEG signals. Traditionally used in clinical research and therapeutic settings, it is now gaining broader interest for a variety of applications. From treating mental health conditions to enhancing cognitive performance, improving focus, and supporting mindfulness practices, neurofeedback is becoming a versatile tool for improving overall brain health.
- [Neuroadaptive Technology and BCI: Toward a Future of Conversing with Our Minds](https://www.brainaccess.ai/neuroadaptive-technology-and-brain-computer-interfaces-toward-a-future-of-conversing-with-our-minds/): The convergence of neuroadaptive technology, brain-computer interfaces (BCIs), and artificial intelligence is reshaping the boundaries between mind and machine. Traditionally, BCIs have enabled basic communication and control by translating brain activity, often measured through EEG (electroencephalography), into digital signals. However, the integration of advanced AI, particularly large language models (LLMs), is paving the way for a new generation of BCIs, systems that not only read brain signals but learn from and adapt to them over time.
- [Understanding EEG Power: Beyond the Brainwaves](https://www.brainaccess.ai/understanding-eeg-power-beyond-the-brainwaves/): When discussing brain activity, the term brainwaves frequently appears—but what exactly does this mean, why is it important, and how does it relate to EEG power?
- [A Comparative Analysis of EEG Cap Technologies](https://www.brainaccess.ai/a-comparative-analysis-of-eeg-cap-technologies/): Electroencephalography (EEG), a non-invasive neurophysiological technique, employs the measurement of cortical electrical activity via scalp electrodes. The efficiency of EEG recording is linked to the cap technology employed, which dictates electrode placement, signal quality and user comfort and experience. In this article, we will provide a comparative analysis of EEG cap technologies, ranging from simplified headbands to high-density multi-channel caps, highlighting their applications and characteristics.
- [A Comparison of Electrodes: Dry, Wet and Soft](https://www.brainaccess.ai/a-comparison-of-electrodes-dry-wet-and-soft/): Electrodes are used in many technologies, fundamentally acting as transducers that convert the body’s ionic currents into electronically processable signals and vice versa. In medical diagnostics, they are inseparable from procedures like electrocardiograms (ECGs), electroencephalograms (EEGs), and electromyograms (EMGs), enabling the detection and analysis of electrical activity in the heart, brain and muscles, respectively.
- [BrainAccess Mobile App Release](https://www.brainaccess.ai/brainaccess-mobile-app-release/): BrainAccess team has released the first version of the BrainAccess Mobile App.
- [BrainAccess at the “Heroes of the Brain” Neurohackathon](https://www.brainaccess.ai/brainaccess-at-the-heroes-of-the-brain-neurohackathon/): Last month, the BrainAccess team had the honor of sponsoring and attending the “Heroes of the Brain”—the largest neurohackathon of its kind in Poland, hosted by the Neuron Science Club and the Wrocław University of Science and Technology. We had the opportunity to showcase a hyperscanning session, where music was generated directly from the brainwave signals of multiple participants using EEG technology.
- [BrainAccess Team Attends the 16th International Conference of the Lithuanian Neuroscience Association](https://www.brainaccess.ai/brainaccess-team-attends-the-16th-international-conference-of-the-lithuanian-neuroscience-association/): The 16th International Conference of the Lithuanian Neuroscience Association (LNA), held on November 29th, 2024, at the Life Sciences Center in Vilnius, Lithuania, featured a diverse program of keynote lectures, poster presentations and discussions.
- [BrainAccess SDK Version Update to 3.5.0](https://www.brainaccess.ai/brainaccess-sdk-version-update-to-3-5-0/): BrainAccess SDK has been updated to 3.5.0 for both Windows and Linux operating systems.
- [BrainAccess Board Version Update to 2.5.0](https://www.brainaccess.ai/brainaccess-board-version-update-to-2-5-0/): BrainAccess Board has been updated to 2.5.0 for both Windows and Linux operating systems.
- [100 Years of EEG: How Examining the Brain Changed Neuroscience](https://www.brainaccess.ai/100-years-of-electroencephalography/): This year marks the anniversary of electroencephalography (EEG), which has reshaped our understanding of the human brain. Today, EEG finds applications in various fields, including neuroscience research, clinical treatment and diagnosis and brain-computer interface. With increasing computing power and the advances in AI technologies the field of EEG is also rapidly evolving. In this article, we will expand on the notion of EEG, recall the most famous breakthroughs in history and dive deeper into its applications.

## Pages
- [Signal Viewer Tutorial](https://www.brainaccess.ai/tutorials/signal-viewer-tutorial/): This tutorial goes through the steps required to correctly setup BrainAccess HALO EEG headband for measurements.
- [Jena Tutorial](https://www.brainaccess.ai/tutorials/jena-tutorial/): Jena AI is an EEG-aware chatbot integrated into BrainAccess Board.
- [Hyperscanning with BrainAccess Tutorial](https://www.brainaccess.ai/tutorials/hyperscanning-with-brainaccess-tutorial/): Hyperscanning is a technique used to record brain activity from two or more people at the same time. Instead of studying one participant in isolation, hyperscanning makes it possible to investigate how brains interact during social, cognitive, motor, or collaborative tasks.
- [Why BrainAccess?](https://www.brainaccess.ai/why-brainaccess/): You think about discovery. We handle the rest. 
- [Electrodes](https://www.brainaccess.ai/electrodes/): Spring-based electrodes with 12 spring-loaded pins for hair-covered areas or flat-pad electrodes with circular pads for hair-free regions.
- [BrainAccess Features](https://www.brainaccess.ai/brainaccess-features/): Discover the full potential of BrainAccess, our versatile EEG platform. Designed for comfort, reliability, and innovation.
- [Documents](https://www.brainaccess.ai/documents/): Download extended manuals and quick-start guides for BrainAccess devices.
- [Kotlin SDK](https://www.brainaccess.ai/software/kotlin-sdk/): The BrainAccess Kotlin SDK is the latest addition to the BrainAccess software ecosystem, enabling developers to build native Android applications that interface directly with BrainAccess EEG devices.
- [Home](https://www.brainaccess.ai/): Powering cognitive discovery with portable AI-driven EEG solutions.
- [Compare hardware](https://www.brainaccess.ai/compare-hardware/): For inquiries or custom solution requests, feel free to reach out to us.
- [Use cases](https://www.brainaccess.ai/use-cases/)
- [BrainAccess Mobile App](https://www.brainaccess.ai/software/brainaccess-mobile-app/): The BrainAccess Mobile App brings EEG recording into fully mobile environments, enabling wireless streaming over Wi-Fi directly from BrainAccess devices.
- [Brain Fingerprinting](https://www.brainaccess.ai/brain-fingerprinting/): Brain fingerprinting is a lie detection technique based on EEG measurements. Strictly speaking, it is a guilty knowledge or concealed information test, which detects if a person is concealing information purely from EEG recordings. It does so by measuring the EEG response of a person to carefully selected visual stimuli.  
- [Starting up with BrainAccess Board](https://www.brainaccess.ai/tutorials/starting-up-with-brainaccess-board/): This introductory tutorial demonstrates how to connect and stream data from BrainAccess devices using BrainAccess Board software together with its main functionality. If you haven’t done this already, download the BrainAccess Board software from the Download Centre (link). Unpack it and install it on your computer. 
- [Lab Streaming Layer](https://www.brainaccess.ai/tutorials/lab-streaming-layer/): The Lab Streaming Layer (LSL) is a system designed specifically for the unified collection of time-series data in research experiments. It simplifies the process of collecting and working with data streams generated by various sensors and software used in these experiments. LSL streamlines the process by handling networking, synchronization, and data access, allowing researchers to focus on designing and conducting their experiments.
- [EEG Signal Quality](https://www.brainaccess.ai/tutorials/eeg-signal-quality/): There are many parameters of the EEG measurement system that affect the recorded EEG signal quality. While a gold standard for the estimation of signal quality for wet electrodes is skin-electrode impedance, there are many more aspects to consider, particularly, for dry-contact electrode measurements. In this section, we will overview major influences on EEG signal quality.
- [EEG Signal (re)Reference](https://www.brainaccess.ai/tutorials/eeg-signal-rereference/): EEG signal is measured as a potential difference between two electrodes placed on a person’s scalp. Typically there are more than two electrodes used in EEG signal measurements and they can be combined in different ways in EEG acquisition systems. There are two major montages typically used in EEG recordings: bipolar and referential. 
- [BrainAccess SDK](https://www.brainaccess.ai/software/brainaccess-sdk/): BrainAccess SDK is a unified collection of C, MATLAB, and Python libraries for controlling BrainAccess devices, streaming EEG data, and performing real-time preprocessing and BCI analysis.
- [BrainAccess Board](https://www.brainaccess.ai/software/brainaccess-board/): BrainAccess Board Desktop App provides an easy and intuitive interface for connecting to BrainAccess EEG devices, LSL streams, and synthetic test signals. Users can record, review, convert, and visualize data in one place. 
- [Software](https://www.brainaccess.ai/software/): The BrainAccess software complements the hardware, providing a complete infrastructure for Electroencephalography (EEG), Brain-Computer Interface (BCI), and other setups; it is dedicated to various EEG and BCI applications.
- [BrainAccess CAP](https://www.brainaccess.ai/hardware/brainaccess-cap/): Comes in three sizes to conform to different head shapes, from children to adults. Available in two colors, admiral blue and cool gray.
- [BrainAccess MAXI](https://www.brainaccess.ai/hardware/brainaccess-maxi/): BrainAccess MAXI is not a medical device and is intended for research, scientific, educational, general wellness, or non-clinical development purposes.
- [BrainAccess MIDI](https://www.brainaccess.ai/hardware/brainaccess-midi/): BrainAccess MIDI is not a medical device and is intended for research, scientific, educational, general wellness, or non-clinical development purposes.
- [BrainAccess MINI](https://www.brainaccess.ai/hardware/brainaccess-mini/): BrainAccess MINI is not a medical device and is intended for research, scientific, educational, general wellness, or non-clinical development purposes.
- [BrainAccess HALO](https://www.brainaccess.ai/hardware/brainaccess-halo/): BrainAccess Halo is not a medical device and is intended for research, scientific, educational, general wellness, or non-clinical development purposes.
- [BrainAccess HALO Setup](https://www.brainaccess.ai/tutorials/brainaccess-halo-setup/): This tutorial goes through the steps required to correctly setup BrainAccess HALO EEG headband for measurements. 
- [BrainAccess Standard Kit Setup](https://www.brainaccess.ai/brainaccess-standard-kit-setup/): BrainAccess CAP has smaller and larger holes. Smaller holes should be used for electrode attachment to the cap and larger holes for the cables to pass from the inner part of the cap to the outer. The BrainAccess Standard Kit comes with 8 dry-contact electrodes with spring-loaded spikes and 2 dry-contact electrodes with pads that are mounted at forehead positions. Follow the steps below for setting up the cap.
- [Hyperscanning](https://www.brainaccess.ai/hyperscanning/): Hyperscanning is a neuroimaging technique that involves simultaneously recording brain activity from multiple individuals engaged in social interactions or joint tasks. Unlike traditional neuroimaging methods that focus on individual brains, hyperscanning allows researchers to investigate the neural dynamics of social interactions, cooperation, competition, and communication. This is a relatively novel neuroimaging technique that opens new possibilities for researchers outside of the typical neuroscience field and paradigm-shifting applications in BCI, neuromarketing, and others.
- [BCI (Brain-Computer Interface)](https://www.brainaccess.ai/bci-brain-computer-interface/): Brain-computer interface (BCI) is a communication link between a human's brain and an external device. EEG measurements can be used in many different BCI systems with some of the examples listed below.
- [EEG (Electroencephalography)](https://www.brainaccess.ai/eeg-electroencephalography/): EEG is a non-invasive technique for measuring the electrical activity of the brain. It is measured as a time-varying voltage difference between electrodes placed on a person's scalp. EEG generally monitors the activity of the neurons in the cerebral cortex as it is closest to the electrodes. The electric potential generated by an individual neuron is far too small to be picked up by EEG and hence it measures the synchronous activity of thousands or millions of neurons. The measured voltage difference between the electrodes is only in the range of microvolts and needs amplification for the recordings to be made. The contribution from the neurons further away from the scalp is even weaker and hence EEG can not measure deeper brain structures. Nonetheless, the cerebral cortex is probably the most interesting part of the brain, which makes us human, allowing us to think, feel, and experience the world around us. 
- [Tutorials](https://www.brainaccess.ai/tutorials/): New tutorials and advanced use cases will be added over time. Check back regularly for updates.
- [Methods of Brain Activity Measurements](https://www.brainaccess.ai/methods-of-brain-activity-measurements/): There are many methods for measuring brain activity. Each method differs in its invasiveness, time and spatial resolutions, and other practicalities. Commonly used techniques to record brain activity are illustrated in the picture below. 
- [BCI Technologies](https://www.brainaccess.ai/bci-technologies/): Brain-computer interface (BCI) is a communication link between a human's brain and an external EEG device. The applications of BCI technology are vast with examples listed below of how BrainAccess AI EEG technology can be utilized:
- [Hardware](https://www.brainaccess.ai/hardware/): The BrainAccess hardware provides a complete, multi-channeled, wireless EEG solution. The core devices include lightweight, battery-powered systems to ensure full portability and long-lasting recordings. According to the number of input channels, three EEG devices are available: 
- [Downloads](https://www.brainaccess.ai/download/): Get started with our free software suite or request access to our advanced tools
- [About us](https://www.brainaccess.ai/about-us/): At BrainAccess we develop advanced EEG hardware and software designed specifically for neuroscience research and brain-computer interface (BCI) applications. Our products cater to both research and educational environments, offering a variety of solutions tailored to different scientific needs. We are dedicated to continuous innovation, always striving to push the boundaries of what’s possible in neurotechnology.
- [Thank you](https://www.brainaccess.ai/thank-you/): Your message has been sent. We will get back to you in 1-2 business days!
- [Privacy policy](https://www.brainaccess.ai/privacy-policy/): At Neurotechnology UAB (company code: 120441850, address: Laisvės pr. 125A, Vilnius, Lithuania, email: brainaccess@neurotechnology.com) and its affiliated entities, we take User privacy and personal data protection very seriously. In this Privacy Policy, we set data protection standards and describe how information from the User (“User“) is collected, used, maintained, and disclosed by brainaccess.ai Website and Services. This privacy policy applies to the brainaccess.ai website (“Site“) and all software products and related services offered by the brainaccess.ai website. The aim of this Privacy Policy is to provide adequate and consistent safeguards for the handling of the personal data of potential and existing clients within Neurotechnology and its affiliated entities in accordance with the requirements of General Data Protection Regulation (Regulation (EU) 2016/679 of 27 April 2016, “GDPR“) and other applicable data protection laws.
- [Terms of Use](https://www.brainaccess.ai/terms-of-use/): Effective Date: October 30, 2025
- [Technology](https://www.brainaccess.ai/technology/): BCI applications range from lost motor function replacement to mind-controlled computer games. BCI can also be used not only for generating discrete commands but also for evaluating the mental state of a person such as focus, relaxation, or tiredness. In addition, BCI systems are being developed that could essentially be used as lie detectors, which would be even more difficult to deceive.
- [Contact us](https://www.brainaccess.ai/contact-us/): Do you have any questions? We'd love to hear from you!
- [Shop](https://www.brainaccess.ai/shop/): Shop BrainAccess MAXI Kit 3,000 € Excl. VAT Explore kit BrainAccess MIDI Kit 1,600 € Excl. VAT Explore kit BrainAccess MINI Kit 900 € Excl. VAT Explore kit BrainAccess HALO 400 € Excl. VAT Add to cart
- [Blog](https://www.brainaccess.ai/blog/): Standard Blog
- [My Account](https://www.brainaccess.ai/my-account/): Login Username or email address *Required Password *Required Remember me Log in Lost your password?
- [Checkout](https://www.brainaccess.ai/checkout/)

## Products
- [BrainAccess MAXI Kit](https://www.brainaccess.ai/shop/brainaccess-maxi-kit/): 32-channel EEG system — Cap and Electrodes included. High-density EEG system built for advanced research. Offering the most comprehensive spatial coverage in the BrainAccess series, the MAXI kit is the ideal gel-free solution for cutting-edge research requiring higher spatial resolution.
- [BrainAccess MIDI Kit](https://www.brainaccess.ai/shop/brainaccess-midi-kit/): 16-channel EEG system — Cap and Electrodes included. Compact EEG system designed for research and development. By balancing portability and scalp coverage, MIDI kit is ideal for real-world EEG applications, neuromarketing, and cognitive experiments.
- [BrainAccess MINI Kit](https://www.brainaccess.ai/shop/brainaccess-mini-kit/): 8-channel EEG system — Cap and Electrodes included. A lightweight EEG system designed for portability, quick set ups, and comfort. Its compact design makes the MINI kit ideal for EEG studies in the field and BCI applications.
- [BrainAccess HALO](https://www.brainaccess.ai/shop/brainaccess-halo/): 4-channel EEG Headband — A fully integrated system. This EEG headband features dry contact electrodes and a common reference channel. Thanks to its quick and effortless setup, the HALO Headband makes cognitive and mental state monitoring accessible to everyone, anywhere.

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