On the use of computation in modelling behaviour

Abstract

To cite this article: Frank van der Velde (1997) On the use of computation in modelling behaviour, Network: Computation in Neural Systems, 8:1, R1-R32To link to this article: http://dx.Abstract. Computation theory has been used extensively in recent decades to model cognitive behaviour. Of fundamental importance in this approach are the machines in which a functional distinction exists between program and memory. The processes within these machines can be described in terms of symbol manipulation. The distinction between program and memory can be implemented with neural networks that resemble structures found in the (visual) cortex. Networks of this kind can model selective attention, visual search and compositional representation (e.g. feature binding). The importance of a neural network implementation of symbol manipulation is briefly discussed.

Binding and Consciousness from an Intrinsic Perspective

“…In all, I agree with the analysis that tagging theories fail to account for binding (e.g., van der Velde & de Kamps, 2002) and that the interaction between feedforward and feedback activity in the visual cortex plays an important role in this respect (e.g., see van der Velde, 1997;. However, IHS ignores an important reason why tagging theories fail to account for binding, and why the feedforward-feedback interaction is so important in this respect.…”