4 papers in the library · 8 citations · publishing 1999-2011
IGI Global eBooks January 18, 2011 John G. Taylor
Attention is analyzed as the superior control system in the brain from an engineering point of view, with support for this from the way attention is presently being understood by brain science. Such an engineering- control framework allows an understanding of how the complex networks observed in the brain during various cognitive tasks can begin to be functionally decomposed. A machine version...
International Journal of Machine Consciousness May 19, 2009 John G. Taylor 7 citations
A discussion is given as to the possibility of creating machines which have more powerful consciousnesses than our own. The approach employs, in particular, a brain-based model of human consciousness. From that model a general discussion is developed of the need for a unique central control system in any machine to enable it to be efficient in decision-making. The resulting features of the...
Journal of Intelligent Systems December 1, 1999 John G. Taylor 1 citation
We consider here how new results arising especially from brain imaging but also from other areas of brain science (single cell analysis, deficits) are modifying our understanding of the neural representations involved in consciousness. The problem is discussed in terms of the two basic questions:
Behavioral and Brain Sciences February 1, 1999 John G. Taylor
The basic postulate that consciousness arises from stable states of recurrent activity is shown to need considerable modification from our current knowledge of the neural networks of the brain. Some of these modifications are outlined.