Neurocomputational Models of Visualisation: A Preliminary Report
IWANN '99 Proceedings of the International Work-Conference on Artificial and Natural Neural Networks: Foundations and Tools for Neural Modeling
Predicting the behaviour of G-RAM networks
Neural Networks
'I, Max': communicating with an artificial agent
ZiF'06 Proceedings of the Embodied communication in humans and machines, 2nd ZiF research group international conference on Modeling communication with robots and virtual humans
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The object of seeing is for the brain to create inner states that accurately model the world and recall it for purposeful use. In this descriptive paper we present virtual neuro-architectures called 'depictive' which have been developed to create hypotheses for the mechanisms necessary for such depiction and explain some elements of verbally induced visual working memory. Early work on applications to understanding visual deficits in Parkinsons' sufferers is included.