A new address-event coding technique for off chip communication in neuromorphic and other perceptual systems is presented. Unlike all known solutions for address-event communicati...
Various implementations are known for the efficient implementation of adders. As opposed to traditional optimization techniques a statistical approach using early termination det...
Temporally-asymmetric Hebbian learning is a class of algorithms motivated by data from recent neurophysiology experiments. While traditional Hebbian learning rules use mean firin...
In this paper, a de-interlacing technique using motion compensated interpolation is proposed. In the proposed scheme motion estimation is first performed between the same parity f...
Rapid evaluation and design space exploration at the algorithmic level are important issues in the design cycle. In this paper we propose an original area vs delay estimation meth...
Sebastien Bilavarn, Guy Gogniat, Jean Luc Philippe...
The designer needs simple and accurate models to estimate noise in MOS transistors as a function of their size, bias point and technology. In this work, we present a simple, conti...