- Remove the current class from the content27_link item as Webflows native current state will automatically be applied.
- To add interactions which automatically expand and collapse sections in the table of contents select the content27_h-trigger element, add an element trigger and select Mouse click (tap)
- For the 1st click select the custom animation Content 27 table of contents [Expand] and for the 2nd click select the custom animation Content 27 table of contents [Collapse].
- In the Trigger Settings, deselect all checkboxes other than Desktop and above. This disables the interaction on tablet and below to prevent bugs when scrolling.
At Neurable, our journey began with a bold mission: to make brain-computer interface (BCI) technology accessible, empowering everyone. Our story is rooted in the belief that brain data shouldn’t be confined to labs and research facilities, it should be available to every individual, every day, as they live their lives. Today, as we continue to grow and evolve, our vision remains the same: democratize brain data to unlock the true potential of the mind.
The Evolution of EEG Technology and Brain Data
Electroencephalography (EEG) technology has come a long way since its inception. Traditionally, EEG systems were bulky, complex, and limited to research labs or clinical settings. They required specialized knowledge and expensive equipment, making them inaccessible to the vast majority of people. But advances in machine learning, AI, and sensor technology have transformed what’s possible. Today, EEG can be integrated seamlessly into wearable devices like headphones, enabling real-time monitoring of brain activity in a non-invasive and user-friendly manner. At Neurable, we’ve taken this once-exclusive technology and made it practical, portable, and powerful, ready to help millions of people understand and enhance their own mental health.
Why Brain Data Belongs in the Hands of Everyone
There’s an urgent need to bring brain data out of the lab and into the hands of everyday people. For too long, insights about the brain have been restricted to academic studies, inaccessible to those who would benefit most. For example, people navigating the challenges of focus, stress, and cognitive fatigue in their daily lives. By democratizing access to brain data, we are opening the door to self-awareness and personal growth at a scale never before possible.
When brain data moves beyond the confines of research, it empowers billions of people to gain insights into how their minds work. This knowledge allows individuals to better manage stress, optimize their focus, and build sustainable habits that enhance their quality of life. By making brain data accessible and actionable, we’re enabling people to take charge of their mental well-being in meaningful ways.
Understanding the Brain at Scale and Longitudinally
Out of the lab, brain data has the potential to transform our understanding of the mind like never before. By capturing brain activity at scale, across millions or even billions of users and over time, we gain unprecedented insights into how our brains change and adapt. This longitudinal data opens up new possibilities for personalized interventions, early detection of cognitive decline, and deeper insights into how everyday factors like stress, environment, and routine impact mental health
The implications are immense. With large-scale, real-world data, we can develop AI-driven tools that continuously learn and improve, delivering personalized recommendations tailored to each individual’s unique brain activity. This means more effective solutions for managing stress, improving productivity, and enhancing cognitive performance, all based on robust data collected over time. Even bigger than that EEG, the sensors we use in the MW75 Neuro have been used for numerous use cases. However, all the data we have is only of times when a person goes to a lab. Now imagine the good that can be done by understanding they areas at scales and longitudinally.
Building Healthy Habits Starts with Data
Healthy habits are the cornerstone of a fulfilling life, but building and maintaining them is often easier said than done. This is where brain data comes in. Habits start in the brain—they’re driven by neural pathways that form through repetition. By tracking brain activity, we can gain insights into how habits form and break down, offering the tools needed to build positive routines and eliminate unproductive behaviors.
The Neurable app, for example, uses brain data to help users develop focus, recognize when they’re becoming fatigued, and create strategies for sustained mental performance. By understanding how our brains respond to different tasks and stressors, we can cultivate better habits and, ultimately, live healthier, more balanced lives. See more here.
The Science Behind Habits
The science of habits shows us that consistent practice and feedback are key to creating lasting change. Brain data makes this process visible and measurable. By providing real-time feedback on focus levels, when you need a break and cognitive fatigue, Neurable enables users to make adjustments that reinforce positive habits. Whether it’s taking a break when mental energy dips or identifying the optimal time for deep work, this data-driven approach empowers people to create routines that align with their natural cognitive rhythms.
The Path Forward
At Neurable, we’re committed to a future where brain data is no longer a mystery locked away in labs, but a tool for personal growth and health. We’re transforming the way people interact with their minds, giving them the tools to better understand themselves and unlock their full potential. As we continue to innovate and grow, our mission is clear: to make brain-computer interface (BCI) technology accessible, empowering everyone.
The future of personal health and wellness is here, and it starts with the brain. By making brain data a part of everyday life, we can change not only how we work and live but who we become.
2 Distraction Stroop Tasks experiment: The Stroop Effect (also known as cognitive interference) is a psychological phenomenon describing the difficulty people have naming a color when it's used to spell the name of a different color. During each trial of this experiment, we flashed the words “Red” or “Yellow” on a screen. Participants were asked to respond to the color of the words and ignore their meaning by pressing four keys on the keyboard –– “D”, “F”, “J”, and “K,” -- which were mapped to “Red,” “Green,” “Blue,” and “Yellow” colors, respectively. Trials in the Stroop task were categorized into congruent, when the text content matched the text color (e.g. Red), and incongruent, when the text content did not match the text color (e.g., Red). The incongruent case was counter-intuitive and more difficult. We expected to see lower accuracy, higher response times, and a drop in Alpha band power in incongruent trials. To mimic the chaotic distraction environment of in-person office life, we added an additional layer of complexity by floating the words on different visual backgrounds (a calm river, a roller coaster, a calm beach, and a busy marketplace). Both the behavioral and neural data we collected showed consistently different results in incongruent tasks, such as longer reaction times and lower Alpha waves, particularly when the words appeared on top of the marketplace background, the most distracting scene.
Interruption by Notification: It’s widely known that push notifications decrease focus level. In our three Interruption by Notification experiments, participants performed the Stroop Tasks, above, with and without push notifications, which consisted of a sound played at random time followed by a prompt to complete an activity. Our behavioral analysis and focus metrics showed that, on average, participants presented slower reaction times and were less accurate during blocks of time with distractions compared to those without them.
