Many activity dependent learning rules have been proposed in order to model long-term potentiation (LTP). Our aim is to derive a spike time dependent learning rule from a probabili...
Jean-Pascal Pfister, David Barber, Wulfram Gerstne...
We present LEOPARD, a fanout optimization algorithm based on the effort delay model for near-continuous size buffer libraries. Our algorithm minimizes area under required timing a...
Peyman Rezvani, Amir H. Ajami, Massoud Pedram, Ham...
A new model for evolving the structure of a Particle Swarm Optimization (PSO) algorithm is proposed in this paper. The model is a hybrid technique that combines a Genetic Algorithm...
This paper proposes a novel architecture synthesis algorithm for single-loop single-bit ∆Σ modulators. We defined a generic modulator architecture and derived its noise and si...
This paper concerns problem of selection of optimal subset of irredundant unconditional diagnostic tests by means of evolutionary approach. The method of correction of features’...