2001

• "Speaker identification for security systems using reinforcement-trained pRAM neural network architectures", T G Clarkson, C C Christodoulou, Y Guan, D Gorse, D A Romano-Critchley and J G Taylor, IEEE Trans. Syst. Man Cyb., 31(1), 65-76, 2001. Abstract.

• "A pulse-based reinforcement algorithm for learning continuous functions", D Gorse, D A Romano-Critchley and J G Taylor, Neurocomputing, 14, 319-344, 1997. Abstract.

• "A modular pRAM architecture for the classification of TESPAR-encoded speech signals", D Gorse and D A Romano-Critchley, Neural Network World, 6, 299-304, 1996. Abstract.
• "Binary state machines for arithmetic operations on pulse-coded signals", D Gorse, in: Proceedings of ICONIP'96, Hong Kong, September 1996, pp 563-566.

• "Learning real-valued univariate time series: an application of a pulse-based reinforcement algorithm for learning continuous functions using pRAMs", D Gorse and D A Romano-Critchley, in: Proceedings of the Weightless Neural Network Workshop '95 (WNNW'95), ed. David Bisset, pp 35-39.
• "An architecture for the learning of real-to-binary mappings using binary-output reinforcement training", D Gorse and D A Romano-Critchley, in: Proceedings of the Weightless Neural Network Workshop '95 (WNNW'95), ed. David Bisset, pp 70-75.
• "Application of a pulse-based reinforcement algorithm for learning continuous functions using pRAMs: the sunspot prediction problem", D Gorse and D A Romano-Critchley, in: Proceedings of ICANN '95, Paris, October 1995, pp 227-232.

• "Noisy reinforcement training for pRAM nets", Y Guan, T Clarkson, J Taylor and D Gorse, Neural Networks, 7, 523-538, 1994. Abstract.
• "Temporal difference learning using a pulse-based reinforcement training algorithm", D Gorse, J G Taylor and T G Clarkson, in: Proceedings of ICONIP '94, Seoul, October 1994, pp 293-298.
• "A pulse-based reinforcement algorithm for learning continuous functions", D Gorse, J G Taylor and T G Clarkson, in: Proceedings of WCNN '94, San Diego, June 1994, pp II-73 - II-78.
• "Extended functionality for probabilistic RAM neurons", D Gorse, J G Taylor and T G Clarkson, in: Proceedings of ICANN '94, Sorrento, May 1994, Vol 1, pp 705-708.

• "Generalization in probabilistic RAM nets", T G Clarkson, Y Guan, J G Taylor and D Gorse, IEEE Transactions on Neural Networks, 4, 360-363, 1993. Abstract.
• "A hardware-implementable algorithm for learning non-linear functions", D Gorse, J G Taylor and T G Clarkson, in: Proceedings of IJCNN '93, Nagoya, October 1993, pp I-911 - I-914.
• "Learning real-valued functions using a stochastic reinforcement algorithm", D Gorse, J G Taylor and T G Clarkson, in: Proceedings of IJCNN '93, Portland, Oregon, July 1993, pp III-301 - III-304.
• "A Stochastic Reverse Interpolation Algorithm for Real-Valued Function Learning", Y Guan, T G Clarkson, J G Taylor and D Gorse, in: Proceedings of the 3rd IEE Int. Conf. on Artificial Neural Networks, Brighton, May 1993.
• "A review of the theory of pRAMs", D Gorse and J G Taylor, in: Proceedings of the Weightless Neural Network Workshop '93, York, April 1993, pp 13-17.

• "Learning probabilistic RAM nets using VLSI structures" , T G Clarkson, C K Ng, D Gorse and J G Taylor, IEEE Transactions on Computers, 41, 1552-1561, 1992. Abstract.
• "From wetware to hardware: reverse engineering using probabilistic RAMs", T G Clarkson, D Gorse and J G Taylor, Journal of Intelligent Systems, 2, 11-30, 1992. Abstract.
• "A noisy training method for digit recognition using pRAM neural networks", Y Guan, T G Clarkson, J G Taylor and D Gorse, in: Proceedings of IJCNN '92, Beijing, November 1992, pp 673-678.
• "The use of encoded outputs and reinforcement training", Y Guan, T Clarkson, J G Taylor and D Gorse, in: Proceedings of ICANN '92, Brighton, September 1992, pp 653-656.
• "The noisy-leaky integrator model implemented using pRAMs", J G Taylor, T G Clarkson, C Christodoulou and D Gorse, in: Proceedings of IJCNN '92, Baltimore, June 1992, pp 178-183.
• "The application of noisy reward/penalty learning to pyramidal pRAM structures", Y Guan, T G Clarkson, D Gorse and J G Taylor, in: Proceedings of IJCNN '92, Baltimore, June 1992, pp 660-665.
• "Associative reinforcement training using probabilistic RAM nets", D Gorse, in: Neural Network Dynamics, eds. J G Taylor, E R Caianello, R M J Cotterill and J W Clark, Springer, Berlin, 1992, pp 19-29.

• "A continuous input RAM-based stochastic neural model", D Gorse and J G Taylor, Neural Networks, 4, 657-665, 1991. Abstract.
• "Universal associative stochastic learning automata", D Gorse and J G Taylor, Neural Network World, 1, 193-202, 1991. Abstract.
• "Training strategies for probabilistic RAMs",D Gorse and J G Taylor, in: Theory and Applications of Neural Networks, eds J G Taylor and C L T Mannion, Springer, 1991, pp 211-217.
• "Encoding temporal structure in probabilistic RAM nets", D Gorse and J G Taylor, in: Proceedings of the Second IEE International Conference on Artificial Neural Networks, Bournemouth, November 1991, pp 369-372.
• "Applications of the pRAM", T G Clarkson, D Gorse, Y Guan and J G Taylor, in: Proceedings of IJCNN '91, Singapore, September 1991, pp 2618-2623.
• "Learning sequential structure with recurrent pRAM nets", D Gorse and J G Taylor, in: Proceedings of IJCNN '91, Seattle, July 1991, pp 37-42.
• "A serial-update VLSI architecture for the learning probabilistic neuron", T G Clarkson, C K Ng, D Gorse and J G Taylor, in: Proceedings of ICANN '91, Helsinki, June 1991, pp 1573-1576.
• "Biologically plausible learning in hardware realisable nets", T G Clarkson, D Gorse and J G Taylor, in: Proceedings of ICANN '91, Helsinki, June 1991, pp 195-199.

• "A general model of stochastic neural processing", D Gorse and J G Taylor, Biol. Cybern., 63, 299-306, 1990. Abstract.
• "Reinforcement training strategies for probabilistic RAMs", D Gorse and J G Taylor, in: Theoretical Aspects of Neurocomputing, eds. M Novak and E Pelikan, World Scientific (1990), pp 180-184.
• "Training strategies for probabilistic RAMs",D Gorse and J G Taylor, in: Parallel Processing in Neural Systems and Computers, eds R Eckmiller, G Hartmann and G Hauske, North-Holland, 1990, pp 161-164.
• "pRAM automata", T G Clarkson, D Gorse and J G Taylor, in: Proceedings of 1990 IEEE International Workshop on Cellular Neural Networks and their Applications, Budapest, December 1990, pp 235-243.
• "Hardware realisable learning algorithms", D Gorse and J G Taylor, in: Proceedings of the International Neural Network Conference, Paris, July 1990, pp 821-824.

• "An analysis of noisy RAM and neural nets",D Gorse and J G Taylor, Physica D, 34, 90-114, 1989. Abstract.
• "A new model of the neuron", D Gorse, in: New Developments in Neural Computing, eds. J G Taylor and C L T Mannion, Adam Hilger (1989), pp 111-118.
• "Towards a hardware realisable model of the neuron", D Gorse and J G Taylor, in: Models of Brain Function, ed. Rodney M J Cotterill, CUP (1989).
• "Hardware realisable models of neural processing", T G Clarkson, D Gorse and J G Taylor, in: Proceedings of the First IEE International Conference on Artificial Neural Networks, 1989, pp 242-246.

• "On the equivalence and properties of noisy neural and probabilistic RAM nets", D Gorse and J G Taylor, Physics Letters A, 131, 326-332, 1988. Abstract.