title: Using coherent pulse width and edge modulations in artificial neural systems.
abstract: This paper describes an existing silicon implementation of an artificial neural system based on coherent pulse width and edge modulation techniques. A chip set with different neural functions has been conceived, manufactured and tested. Neural circuits have been optimized for lowest computation energy and highest reconfigurability. The main device is a 32 x 32 synaptic array consuming 10 mW of power at 140 MCPS. Synapsis size is about 7.200 microns 2 using a standard 1.5 microns CMOS technology. The problem of interfacing robotic sensors and actuators is addressed: voltage, current and resistance-based sensors are considered for the measurement of physical quantities such as temperature, pressure, strain, etc. Low resolution imaging sensors for robotic vision are also considered.
authors.affiliation: Dipartimento di Elettronica, Politecnico di Torino, Italy.
authors.forename: L M
authors.initials: LM
authors.lastname: Reyneri
authors.forename: M
authors.initials: M
authors.lastname: Chiaberge
authors.forename: D
authors.initials: D
authors.lastname: Del Corso
mesh_terms: D000703:Analog-Digital Conversion; D003201:Computers; D007091:Image Processing, Computer-Assisted; D016571:Neural Networks, Computer; D009474:Neurons; D012371:Robotics / Q000295:instrumentation; D013569:Synapses