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2000 Journal Article Context-free and context-sensitive dynamics in recurrent neural networksBoden, Mikael and Wiles, Janet (2000). Context-free and context-sensitive dynamics in recurrent neural networks. Connection Science: journal of neural computing, artificial intelligence, and cognitive research, 12 (3-4), 197-210. doi: 10.1080/095400900750060122 |
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2000 Journal Article Stroop Performance in Alzheimer’s Disease: A Preliminary Test of Theories of Damage Using a Connectionist SimulationWiles, Janet, Chenery, Helen J., Hallinan, Jennifer, Blair, Alan and Naumann, Daniel (2000). Stroop Performance in Alzheimer’s Disease: A Preliminary Test of Theories of Damage Using a Connectionist Simulation. Brain and Language, 74 (3), 341-344. doi: 10.1006/brln.2000.2359 |
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2000 Conference Publication Evolving learnable languageTonkes, B., Blair, A. D. and Wiles, J. H. (2000). Evolving learnable language. Advances in NIPS 12, Denver, December 1999. USA: MIT Press. |
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2000 Conference Publication Evolving learnable languagesTonkes, Bradley, Blair, Alan and Wiles, Janet (2000). Evolving learnable languages. 13th Annual Neural Information Processing Systems Conference, NIPS 1999, Denver, CO, United States, 29 November-4 December 1999. Maryland Heights, MO, United States: Morgan Kaufmann Publishers. |
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2000 Book Chapter Memory performance of master go playersBurmeister, J. M., Saito, Y., Yoshikawa, A. and Wiles, J. H. (2000). Memory performance of master go players. Games in AI Research. (pp. 271-286) edited by van der Herick, Iisa. Venlo, The Netherlands: Van Spijk. |
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2000 Conference Publication Effects of damage to the CDM Stroop ModelWiles, J. H., Chenery, H. J., Hallinan, J., Blair, A. D. and Naumann, D. (2000). Effects of damage to the CDM Stroop Model. Fifth Biennial Australasian Cognitive Science Conference, Melbourne, 30 Jan - 2 Feb, 2000. Melbourne: Casual Productions. |
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2000 Conference Publication Modeling the spread of antibiotic resistanceHallinan, J. and Wiles, J. H. (2000). Modeling the spread of antibiotic resistance. Congress on Evolutionary Computation 2000, San Diego, USA, 16-19 July, 2000. N.S. USA: IEEE Neural Network Council. doi: 10.1109/cec.2000.870778 |
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2000 Conference Publication Adapting Copycat to context-dependent visual object recognitionBolland, S. and Wiles, J. H. (2000). Adapting Copycat to context-dependent visual object recognition. Fifth Biennial Australasian Cognitive Science Conference, Melbourne, 30 Jan - 2 Feb, 2000. Melbourne: Casual Productions. |
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1999 Conference Publication Learning to predict a context-free language: Analysis of dynamics in recurrent hidden unitsBoden, M. B., Wiles, J. H., Tonkes, B. and Blair, A. D. (1999). Learning to predict a context-free language: Analysis of dynamics in recurrent hidden units. ICANN'99, Edinburgh, Scotland, 7-10 September, 1999. London, United Kingdom: IEE. doi: 10.1049/cp:19991135 |
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1999 Conference Publication AI techniques used in Computer GoBurmeister, J. M. and Wiles, J. H. (1999). AI techniques used in Computer Go. Fourth Biennial Australasian Cognitive Science Conference, Newcastle, 26-28 Sept 1997. Newcastle: The University of Newcastle. |
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1999 Conference Publication Learning a context free task with a recurrent neural networkTonkes, B. and Wiles, J. H. (1999). Learning a context free task with a recurrent neural network. Fourth Biennnial Australasian Cognitive Science Conference, Newcastle, 26-18 Sept 1997. Newcastle: The University of Newcastle. |
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1999 Conference Publication On the ability of recurrent nets to learn deeply embedded structuresBoden, M. B., Wiles, J. H., Tonkes, B. and Blair, A. D. (1999). On the ability of recurrent nets to learn deeply embedded structures. IJCAI'99, Stockholm, 31 July - 6 August 1999. Stockholm: IJCAII. |
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1999 Conference Publication A paradox of neural encoders and decoders or why don’t we talk backwards?Tonkes, Bradley, Blair, Alan and Wiles, Janet (1999). A paradox of neural encoders and decoders or why don’t we talk backwards?. Asia-Pacific Conference on Simulated Evolution and Learning, Canberra, Australia, 24-27 November 1998. Berlin, United States: Springer Verlag. doi: 10.1007/3-540-48873-1_46 |
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1999 Journal Article A recurrent neural network that learns to countRodriguez, P., Wiles, J. and Elman, J. L. (1999). A recurrent neural network that learns to count. Connection Science, 11 (1), 5-40. doi: 10.1080/095400999116340 |
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1999 Book Chapter The integration of cognitive knowledge into a perceptual representation: Lessons from human and computer goBurmeister, J. M., Wiles, J. H. and Purchase, H. (1999). The integration of cognitive knowledge into a perceptual representation: Lessons from human and computer go. Perspectives on Cognitive Science II: Theories, Experiments, and Foundations. (pp. 239-257) edited by J. Wiles and T. Dartnall. Stamford, Connecticut: Ablex Publishing Company. |
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1998 Conference Publication Recurrent neural networks can learn to implement symbol-sensitive countingRodriguez, Paul and Wiles, Janet (1998). Recurrent neural networks can learn to implement symbol-sensitive counting. 11th Annual Conference on Neural Information Processing Systems,, Denver, CO, United States, 1-6 December 1997. Maryland Heights, MO, United States: Morgan Kaufmann Publishers. |
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1997 Conference Publication Towards a grounding of simple recurrent networks in analog computation theoryRodriguez, P. and Wiles, J. H. (1997). Towards a grounding of simple recurrent networks in analog computation theory. Fourth Biennial Australasian Cognitive Science Conference, Newcastle, 26-28 Sept 1997. Newcastle: The University of Newcastle. |
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1997 Conference Publication Adding phase to recurrent backpropagation networks: An application to binding tasks in visionMajewski H. and Wiles J. (1997). Adding phase to recurrent backpropagation networks: An application to binding tasks in vision. 4th International Work-Conference on Artificial and Natural Neural Networks, IWANN 1997, Lanzarote, Canary Islands, June 4, 1997-June 6, 1997. Springer Verlag. doi: 10.1007/bfb0032527 |
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1996 Journal Article Using bottlenecks in feedforward networks as a dimension reduction technique: an application to optimization tasksWiles, Janet, Bakker, Paul, Lynton, Adam, Norris, Michael, Parkinson, Sean, Staples, Mark and Whiteside, Alan (1996). Using bottlenecks in feedforward networks as a dimension reduction technique: an application to optimization tasks. Neural Computation, 8 (6), 1179-1183. doi: 10.1162/neco.1996.8.6.1179 |
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1996 Journal Article Mathematical constraints on a theory of human memory - ResponseDennis, S., Humphreys, M.S. and Wiles, J. (1996). Mathematical constraints on a theory of human memory - Response. Behavioral And Brain Sciences, 19 (3), 559-560. doi: 10.1017/s0140525x00082212 |
