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Scientists Challenge a 70-Year-Old Brain Myth

Mayur Tembhare
  1. The researchers studied the brains of humans and other animals to understand how they evolved over time.

  2. They found that different parts of the brain are connected and organized in different ways, rather than being added on top of each other.

  3. The study used artificial neural networks to test their ideas and understand how different parts of the brain work together.

  4. The researchers' findings can help us build more efficient artificial intelligence systems.

Scientists Challenge a 70-Year-Old Brain Myth

Topic: Neuroscience

Researchers found that brain evolution is not about new regions being added on top of old ones. Instead, it's about how different parts of the brain are connected and organized.

Many people think that our brains have two main parts: one for reason and one for emotion. But a team of scientists from Georgia Tech has found that this idea is not entirely correct.

The researchers looked at how the brain evolved over time. They compared the brains of different animals, including humans, and found that the way different parts of the brain are connected is more important than where they are located in the brain.

Nabil Imam, an assistant professor at Georgia Tech, explained that there was a theory from the 1950s that the brain evolved in layers. But this idea doesn't fit with what we know about how brains work. Instead, the researchers found that different parts of the brain are connected and organized in different ways.

They used artificial neural networks to test their ideas. These networks are like computer models of the brain. The researchers found that some networks were organized like a map, while others were more like a bar code. This helped them understand how different parts of the brain work together.

Why It Matters

This discovery can help us better understand how our brains work and how we can build artificial intelligence systems that are more efficient and use less energy.

Key Facts

  • The researchers studied the brains of humans and other animals to understand how they evolved over time.
  • They found that different parts of the brain are connected and organized in different ways, rather than being added on top of each other.
  • The study used artificial neural networks to test their ideas and understand how different parts of the brain work together.
  • The researchers' findings can help us build more efficient artificial intelligence systems.
  • The study was published in Science Advances in April 2026.

Key Terms

Neocortex
The outer layer of the brain that is involved in higher-level thought and complex abilities.
Limbic system
A group of brain regions that are involved in emotion, memory, smell, navigation, and other functions.

Implications

This discovery can help us better understand how our brains work and how we can build artificial intelligence systems that are more efficient and use less energy.

Source: https://www.sciencedaily.com/releases/2026/08/260829235958.htm

Journal reference:

  1. Nabil Imam, Matthew Kielo, Brandon M. Trude, Barbara L. Finlay. Dual computational systems in the development and evolution of mammalian brains. Science Advances, 2026; 12 (17) DOI: 10.1126/sciadv.aec6112

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