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05/03/2015
Some Theoretical Properties of a Network of Discretely Firing Neurons
The problem of optimising a network of discretely firing neurons is addr...
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12/18/2010
Self-Organising Stochastic Encoders
The processing of mega-dimensional data, such as images, scales linearly...
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12/16/2010
The Development of Dominance Stripes and Orientation Maps in a Self-Organising Visual Cortex Network (VICON)
A self-organising neural network is presented that is based on a rigorou...
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12/16/2010
Stochastic Vector Quantisers
In this paper a stochastic generalisation of the standard Linde-Buzo-Gra...
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12/16/2010
Adaptive Cluster Expansion (ACE): A Multilayer Network for Estimating Probability Density Functions
We derive an adaptive hierarchical method of estimating high dimensional...
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07/06/2006
Modelling the Probability Density of Markov Sources
This paper introduces an objective function that seeks to minimise the a...
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11/07/2005
Discrete Network Dynamics. Part 1: Operator Theory
An operator algebra implementation of Markov chain Monte Carlo algorithm...
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10/15/2004
Self-Organised Factorial Encoding of a Toroidal Manifold
It is shown analytically how a neural network can be used optimally to e...
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10/10/2004
Adaptive Cluster Expansion (ACE): A Hierarchical Bayesian Network
Using the maximum entropy method, we derive the "adaptive cluster expans...
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08/21/2004
Invariant Stochastic Encoders
The theory of stochastic vector quantisers (SVQ) has been extended to al...
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08/21/2004
Using Stochastic Encoders to Discover Structure in Data
In this paper a stochastic generalisation of the standard Linde-Buzo-Gra...
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06/08/2004