title: Neuromorphic circuit modeling directional selectivity in the visual cortex.
abstract: We have designed a neuromorphic circuit that models directional selectivity in the visual cortex, where selected neurons fire depending on the direction of object motion, along with the size and orientation of the object. The neuromorphic circuit is biomimetic. It consists of neurons and synapses, and models biological mechanisms. Neurons (including the Axon Hillock and the Dendritic Arbor) are designed with CMOS technology and synapses (both excitatory and inhibitory) are designed with Carbon Nanotube Transistors. We show example simulations of neuromorphic circuits that indicate orientation, direction of movement and size selectivity. In these circuits, the processing capability of the neural network emerges from the way the neurons are connected.
authors.forename: Saeid
authors.initials: S
authors.lastname: Barzegarjalali
authors.forename: Alice C
authors.initials: AC
authors.lastname: Parker
mesh_terms: D000818:Animals; D008959:Models, Neurological; D037742:Nanotubes, Carbon; D016571:Neural Networks, Computer; D009474:Neurons / Q000502:physiology*; D012160:Retina / Q000502:physiology; D013569:Synapses / Q000502:physiology; D014793:Visual Cortex / Q000502:physiology*
chemical_list: D037742:Nanotubes, Carbon