Part 1 Memory: competitive queuing and the articulatory loop, David W. Glasspool; temporal chunking and synchronization using a modular recurrent network architecture, Dimitrios Bairaktaris; learning to learn in a connectionist network - the development of associative learning, Gordon D. A. Brown, Tim Preece, and Charles Hulme; interference and discrimination in neural net memory, Noel E. Sharkey and Amanda J.C. Sharkey; transfer of learning in backpropagation and in related neural network models, Jacob M.J. Murre; interactions between short and long- term weights - applications for cognitive modelling, Joseph P. Levy and Dimitrios Bairaktaris. Part 2 Reading: self-learnning and connectionist approaches to text-phoneme conversion, R.I. Damper; reading exception words and pseudowords - are two routes really necessary?, D.C. Plaut, J.L.McClelland, and M.S. Seidenberg; neural network models of reading - solving the alignment problem without wickelfeatures, J.A. Bullinaria. Part 3 Computation and statistics: cortical neural computation, language and cognition, Robert W. Kentridge; neural networks - the new statistical models of mind, Nick Chater; acquiring syntactic information from distributional statistics, Steve Finch, Nick Chater and Martin Redington. Part 4 Speech and audition: onset/offset filters for the segmentation of sound, Leslie s. Smith; time-warping tasks and recurrent neural networks, Mukhlis Abu-Baker and Nick Chater; bottom up connectionist modelling of speech, Paul Cairns, Richard Shillcock, Nick Chater, and Joseph P. Levy; interactive models of lexicalization - some constrants from speech error, picture naming and neuropsychological data, Trevor A. Harley, and Siobhan B.G. MacAndrew.
