top of page

Neural Engineering vs. ABA: Why Our Approach to Neurodiversity Is Different



When it comes to supporting neurodiverse individuals, traditional methods like Applied Behavior Analysis (ABA) have long dominated the scene. However, a new, groundbreaking approach called Neural Engineering, pioneered by Bridging the Gap (BTG), is set to change the way we think about neurodiversity. Unlike ABA, Neural Engineering works with the brain’s natural processing, offering a respectful and empowering alternative. Here’s why Neural Engineering is the future of neurodiversity support.


Philosophical Foundation: Working WITH, Not Against, Natural Processes


Neural Engineering is rooted in a profound respect for the brain's natural processing. Instead of trying to change behaviors against the grain of an individual's natural cognitive processes, Neural Engineering works WITH these processes. It’s about understanding how each unique brain operates and leveraging that understanding to enhance self-awareness, communication, and relationships.


ABA, in contrast, is based on modifying observable behaviors through reinforcement strategies. While it aims to shape behavior to be more socially acceptable, it often does so without considering the individual’s natural cognitive processes. This can lead to a disconnect between the individual’s natural inclinations and the behaviors being encouraged.


Goals and Objectives: Addressing Root Issues


The goal of Neural Engineering is to identify and remove blockages in neural processing that lead to surface symptoms and behaviors. By addressing these root issues, we empower individuals to enhance their quality of life and relationships naturally. This approach is about more than just managing behavior—it's about facilitating a deeper, more efficient processing process.


On the other hand, ABA focuses on modifying behaviors directly, often targeting symptoms without addressing underlying processing issues. While this can lead to short-term improvements, it doesn’t equip individuals with the tools they need to understand and work with their natural processing patterns.


Methodology: Personalized and Empowering


Neural Engineering involves personalized interventions that align with each individual’s natural processing style. Tools like BrainScape and Personal Processing Worksheets help individuals see and access the neural networks already present in their brains. By teaching them how to efficiently use these networks, we enable a more efficient processing process and improved overall functioning.


ABA employs a more standardized approach, using techniques such as discrete trial training and reinforcement schedules to change observable behaviors. This method often involves significant repetition and time commitment, focusing on measurable outcomes rather than individual cognitive experiences.


Ethical Considerations: Respecting Neurodiversity


At BTG, we value and respect neurodiversity. Neural Engineering promotes autonomy and self-determination, helping individuals navigate their own neural landscapes without imposing external norms. Our approach is collaborative and compassionate, building bridges of understanding between individuals and their loved ones.


ABA, while effective for some, has faced criticism for prioritizing behavioral conformity over individual autonomy. Critics argue that it can be coercive, focusing more on fitting in than on understanding and respecting the individual’s neurodiverse identity.


Why Choose Neural Engineering?


Neural Engineering is a revolutionary approach that goes beyond behavior modification. By working with the brain’s natural processes, addressing root issues, and promoting self-awareness, we offer a respectful and empowering alternative to traditional methods like ABA. Our goal is to enhance the quality of life and relationships for neurodiverse individuals, helping them to thrive in their own unique ways.


Join us at Bridging the Gap and discover the future of neurodiversity support. Let’s build bridges of understanding and empowerment together.

36 views0 comments

Comments


bottom of page