6533b862fe1ef96bd12c6f1a

RESEARCH PRODUCT

AER Filtering Using GLIDER: VHDL Cellular Automata Description

N. FerrandoJosé Luis SevillanoD. CascadoAlejandro Linares-barrancoM.s. ObaidatJ. CerdaGabriel JiménezAnton Civit

subject

Very-large-scale integrationbusiness.industryComputer scienceHardware description languageFilter (signal processing)Cellular automatonNeuromorphic engineeringAsynchronous communicationEmbedded systemVHDLbusinesscomputerDigital filterComputer hardwarecomputer.programming_language

description

Cellular Automata (CA) is a bio-inspired processing model for problem solving, initially proposed by Von Neumann. This approach modularizes the processing by dividing the solution into synchronous cells that change their states at the same time in order to get the solution. The communication between them is crucial to achieve the correct solution. On the other hand, the Address-Event-Representation (AER) is a neuromorphic communication protocol for transferring asynchronous events between VLSI chips. These neuro-inspired implementations have been used to design sensor chips (retina, cochleas), processing chips (convolutions, filters) and learning chips, which makes it possible to develop complex, multilayer, multichip neuromorphic systems. This paper presents the fusion of both bio-inspired solutions for implementing a vision filter based on 3x3 convolutions. The GLIDER software tool for developing CA has been used to implement the filter in VHDL and synthesize it into the Spartan II 200 of the USB-AER. Junta de Andalucía P06-TIC-01417

yearjournalcountryeditionlanguage
2008-08-01