Design and basic blocks of a neuromorphic VLSI analogue vision system

: In this paper we present a complete neuromorphic image processing system and we report the development of an integrated CMOS low-power circuit to test the feasibility of its different stages. The image system consists of different parallel-processing stages: phototransduction, non-linear filtering, oscillatory segmentation network and post-processing to extract fundamental characteristics. The circuit presented emulates parts of the behaviour of biological neural networks as found in the retina and the visual cortex of living beings, adopting the neuromorphic approach that takes advantage of analogue VLSI electronics. The final objective is to develop a small and low-power system embedded in a single focal-plane integrated circuit to be used in portable applications. Each stage is briefly described. Simulations and experimental results of some basic blocks are also reported.

• Type: Journal
• Year: 2006
• Where: IJON
• Authors: Jordi Cosp, Jordi Madrenas, Daniel Fernández
• Keywords: CMOS Low-power Circuit, Complete Neuromorphic Image, IJON 2006, Oscillatory Segmentation Network