Unlocking Nature's Blueprint: How Neuroevolution Unravels Neural Circuit Design 🧠

Why do biological neural circuits take the forms they do? Unlike artificial neural networks, which are engineered with fixed architectures, biological neural circuits evolve through adaptation—shaped by constraints like energy efficiency, connectivity, and robustness.

In this video, Risto Miikkulainen explores how neuroevolution—the process of evolving neural networks through evolutionary algorithms—offers new insights into the origins of neural circuit design. By simulating evolutionary pressures, researchers can uncover why certain structures, such as modularity, specialized control mechanisms, and adaptive learning architectures, emerge in both biological and artificial intelligence.

Read the full review in Science: https://www.science.org/stoken/author-tokens/ST-2425/full