Anticipation and prediction have been identified as key functions of many brain areas facilitating recognition, perception, and planning. In this chapter we present a hierarchical ...
We present an approach to building multicast services at the network layer using unicast forwarding and two additional building blocks: (i) ephemeral state probes, i.e. extremely l...
The concept of interoperability of data and model as presented in this paper is viewed as being very useful for implementing variety of future applications related to power system...
Mladen Kezunovic, Santiago Grijalva, Papiya Dutta,...
A distributed robot control system is proposed based on a temporal self-organizing neural network, called competitive and temporal Hebbian (CTH) network. The CTH network can learn ...
This paper investigates the problem of designing decentralized representations to support monitoring and inferences in sensor networks. State-space models of physical phenomena su...
Juan Liu, Maurice Chu, Jie Liu, Jim Reich, Feng Zh...