A review of brain-based neuro-cognitive models

Abstract

We present a survey of recent brain-based neural network models of various aspects of cognition, covering learning and episodic memory, working memory, attention control, goal formation, language learning and use and consciousness. These models are assessed in the light of their explanation of experimental data, as well as the possible help they have provided in understanding global cognitive processing principles. The paper concludes with a discussion of how the models discussed might help to guide the creation of an artificial cognitive brain.

Synergetics of brain function

“…The central role played by attention as a dynamic variable has been more recently recognized in the field of neuroengineering by (cf. Taylor, 2004). 3.…”

On the neurodynamics of the creation of consciousness

“…Since it could only have been remembered by the early 'wake-up-call' role carried out by the attention copy signal (as explained earlier, and more fully in Taylor 2000Taylor , 2002aTaylor , b, 2003Taylor , 2004Taylor , 2005. This corresponds to the automatic re-excitation of 'I' (as an attention copy signal) by any attempt to recall the given episodic memory.…”