How does someone react when he faces a critical situation in his life? In this paper we present an initial initial implementation architecture based on a simulation model described...
Continuous attractor neural networks (CANNs) are emerging as promising models for describing the encoding of continuous stimuli in neural systems. Due to the translational invaria...
Classical game theoretic approaches that make strong rationality assumptions have difficulty modeling human behaviour in economic games. We investigate the role of finite levels o...
Debajyoti Ray, Brooks King-Casas, P. Read Montague...
Large networks of spiking neurons show abrupt changes in their collective dynamics resembling phase transitions studied in statistical physics. An example of this phenomenon is th...
In this paper we investigate glyph-based visualization techniques for the medical domain. We concentrate on both visualization as well as interaction techniques, developed for pro...