Breakthrough in Understanding How Brains Learn: A Different Approach Than AI

Breakthrough in Understanding How Brains Learn: A Different Approach Than AI

Breakthrough In Understanding How Brains Learn: A Different Approach Than Ai

Listen to the story


Researchers have discovered a fundamental difference in how the human brain learns compared to artificial intelligence systems. This breakthrough could lead to faster, more efficient learning algorithms in AI and a deeper understanding of how the brains learn.

The study, published in Nature Neuroscience, focused on how the brain adjusts connections between neurons during learning. Unlike AI, which relies on trial-and-error adjustments, the brain seems to take a more strategic approach.

The Key Difference between how AI and human brains learn: Prospective Configuration

Instead of directly modifying connections based on errors, the brain first establishes a balanced activity pattern among neurons. This “prospective configuration” acts as a foundation for learning, preventing interference between existing knowledge and new information.

Benefits of the Brain’s Approach:

  • Faster Learning: This method allows the brain to learn new things more quickly and efficiently compared to AI’s error-correction approach.
  • Preserved Knowledge: New information doesn’t disrupt existing knowledge, unlike in some AI systems.
  • Robustness: The brain’s learning process is less prone to errors and distractions.

Implications for AI and Brain Research:

  • Developing Faster AI Algorithms: Understanding the brain’s learning principles could inspire new AI algorithms that learn faster and more effectively.
  • Bridging the Gap Between AI and Brains: Researchers aim to translate the abstract principles of prospective configuration into real-world applications for AI.
  • Understanding the Brain: This discovery could shed light on how the brain processes information and learns, potentially leading to new insights into neurological disorders.

Challenges Ahead:

  • Simulating Prospective Configuration in AI: Current computers struggle to implement this method efficiently, requiring new hardware or specialised algorithms.
  • Bridging the Gap to Real Brains: Understanding how the brain implements prospective configuration in its complex neural networks is a major challenge.

This research marks a significant step forward in understanding how the brain learns and has the potential to revolutionise both artificial intelligence and neuroscience.

Written by
LarsGoran Bostrom©

Learn more about interactive books from SOE PublishingLab Makerspace – four video presentations – click below

About Interactive Books From Soe Publishinglab Makerspace

Information from B-InteraQtive Publishing
B-Interaqtive Publishing
Click for more information

We offer a wide range of services, including:

  • Counselling: We can help you assess your needs and develop a plan for your digital learning project.
  • Development: We can create custom digital learning experiences that meet your specific goals.
  • Knowledge management: We can help you improve your organisation’s knowledge management practices.
  • Interactive books: We can create interactive books that engage and motivate learners.

Click here for more information

Are You a food and wellness entusiast? If yes, this community is for you!Create blog posts, discuss on the forum, create interactive books about food. It's free!

Opens in a new tab