ch3/

cats_dogs: This project explores a simple **semantic network** intended to represent a (very small) set of relationships among different features used to represent a set of entities in the world.

faces: This project explores how sensory inputs (in this case simple cartoon faces) can be categorized in multiple different ways, to extract the relevant information and collapse across the irrelevant.

inhib: This simulation explores how inhibitory interneurons can dynamically control overall activity levels within the network, by providing both feedforward and feedback inhibition to excitatory pyramidal neurons.

necker_cube: This simulation explores the use of constraint satisfaction in processing ambiguous stimuli, in this case the *Necker cube*, which can be viewed as a cube in one of two orientations, where people flip back and forth.