The stability and convergence of the neural networks are the fundamental characteristics in the Hopfield type networks. Since time delay is ubiquitous in most physical and biologi...
A method of `network filtering' has been proposed recently to detect the effects of certain external perturbations on the interacting members in a network. However, with larg...
We develop a model of the interaction of rational peers in an incentive-free Peer-to-Peer (P2P) network and use game theoretic analysis to derive results about peer and network be...
— A single biological neuron is able to perform complex computations that are highly nonlinear in nature, adaptive, and superior to the perceptron model. A neuron is essentially ...
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...