Dynamic Field Theory (DFT) provides a mathematical framework in which the emergence of cognition from its sensorimotor grounding can be understood. The activation dynamics of neural populations are organized as strongly recurrent neural networks that stabilize neural representations. Instabilities generate state transitions from which sequences of mental and motor acts emerge.
The tutorial will introduce the core concepts of DFT, while providing hands-on exercises and projects that make use of these concepts to build models of grounded cognition. We will discuss how DFT relates to other approaches to cognition.