Unsupervised learning can be used to extract image representations that are useful for various and diverse vision tasks. After noticing that most biological vision systems for int...
Recent physiological findings revealed that about one-third of motion-sensitive neurons in the pigeon's pretectal nucleus encoded the acceleration of visual motion. Here we pr...
A top-down task-dependent model guides attention to likely target locations in cluttered scenes. Here, a novel biologically plausible top-down auditory attention model is presente...
This paper presents the design principles, development and implementation of an e-learning framework, called Intelligent Cognitive Agents (InCA). The InCA framework is an ontology...
Liana Razmerita, Thierry Nabeth, Albert A. Angehrn...
Spoken language is one of the most intuitive forms of interaction between humans and agents. Unfortunately, agents that interact with people using natural language often experienc...