Publications

[2] Probabilistic bit stream neural chip : Theory
J. Shawe-Taylor, P. Jeavons, M. van Daalen.
Connection Science, Vol 3, No 3, pp. 317-328, 1991

[3] A digital neural network using stochastic computing
P. Jeavons, J. Shawe-Taylor, M. van Daalen.
Submitted to the Journal of Parallel and Distributed Computing

[4] A device for generating binary sequences for stochastic computing
M. van Daalen, P. Jeavons, J. Shawe-Taylor and D. Cohen.
IEE Electronics Letters, Jan 93, Vol 29, No 1, pp. 80-81

[5] A stochastic neural architecture that exploits dynamically reconfigurable FPGAs
M. van Daalen, P. Jeavons, J. Shawe-Taylor.
FPGAs for custom computing machines, Proceedings IEEE NAPA, 93, pp. 202-211

[6] Emergent activation functions from a stochastic bit stream neuron
M. van Daalen, T. Kosel, P. Jeavons, and J. Shawe-Taylor.
IEE Electronics Letters, Feb 94, pp. 331-333

[7] Optical Implementations of a Stochastic Neural System
M. van Daalen, J. Shawe-Taylor, T. J. Hall and W. A. Crossland.
Presented at the International Conference on Optical Computing, Edinburgh 1994,
Published by the IOP, Inst. Phys. Conf. SerNo 139; Part IV, pp. 395-398

[8] The Application of Altera FLEX FPGAs to Stochastic Computing
M. van Daalen. New Electronics, June 1994, pp. 9

[9] Learning in feedforward bit stream neural networks
J. Shawe-Taylor, M. van Daalen and J. Zhao; submitted to NIPS

[10] Real time output derivatives for on chip learning using digital stochastic bit stream neurons
M. van Daalen, J. Shawe-Taylor and J. Zhao.
IEE Electronics Letters, Oct 1994, Vol 30, No 21, pp. 1775-1777

[11] Massively parallel computation using percolation networks
M. van Daalen, J. Shawe-Taylor and T. J. Hall, UK patent application No. 9420449.2. Priority date: 11th October 1994.

[12] Considerations of the optical and opto-electronic hardware requirements for implementation of stochastic bit-stream neural nets
T.J. Hall, W. Peiffer, M. Hands, H. Thienpont, W. A. Crossland, J.S. Shawe-Taylor and M. van Daalen.
Optical Computing 95, Salt Lake City, USA, March 1995.

[13] Neural functionality by percolation
D. Pignon, P.J.M Parmiter, J. Slack, T. Hall, M. van Daalen and J. Shawe-Taylor.
Proceedings of the Optics and Information conference, Mulhouse, October 1995.

[14] Learning in Stochastic Bit Stream Neural Networks
J. Zhao, J. Shawe-Taylor and M. van Daalen.
Neural Networks, 9 (6) 1996, pp. 991-998.

[15] Sigmoid neural transfer function realised by percolation
D. Pignon, P.J.M Parmiter, J. Slack, T. Hall, M. van Daalen and J. Shawe-Taylor.
Optics Letters Vol. 21, No. 3, Feb 1 1996.

[16] Parallel Graph Colouring Using FPGAs
B. Rising, M. van Daalen, P. Burge and J. Shawe-Taylor.
Field Programmable Logic and Applications, 7th International Workshop, FPL97
Editors W. Luk, P. Cheung and M. Glesner, Springer, pp. 121-130

[17] Emergent activation functions from a percolating stochastic bit stream neuron
M. van Daalen, T. J. Hall and J. Shawe-Taylor.
To appear in Neurocomputing.

[18] Stochastic Bit Stream Neural Networks
M. van Daalen, P. Burge, B. Rising and J. Shawe-Taylor.
Edited by Wolfgang Mass and Christopher M. Bishop
Pulsed Neural Networks, Chapter 13, pp. 337-352, The MIT Press, 1999

In preparation

[20] Calculating the response of the 2D discrete Median filter
M. van Daalen, P. Jeavons, in preparation.

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