Dynamic Neural Fields

Dynamic Neural Fields (DNFs) are mathematical models that simulate how groups of neurons in the brain work together to process and maintain information over time. Imagine a landscape where peaks and valleys represent different ideas or actions; DNFs describe how these "peaks" form, shift, or stabilize in response to stimuli, enabling functions like attention, planning, and decision-making. They reflect continuous, dynamic activity patterns that adapt as new information arrives, helping us understand complex behaviors like recognizing objects or guiding movements, effectively modeling the brain’s flexible and ongoing neural computations.