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Using Simple Neural Networks to Correct Errors in Optical Data Transmission.
(De Montfort University, 2008)
We have demonstrated the applicability of
neural-network-based systems to the problem
of reducing the effects of signal distortion,
and shown that such a system has the potential
to reduce the bit-error-rate in the ...
Efficient connection strategies in 1D and 2D associative memory models with and without displaced connectivity
(2008)
This study examines the performance of sparsely connected associative memory models built using a number of different connection strategies, applied to one- and two-dimensional topologies. Efficient patterns of connectivity ...
Using graph theoretic measures to predict the performance of associative memory models
(ESANN, 2008)
We test a selection of associative memory models built with different connection strategies, exploring the relationship between the structural properties of each network and its pattern-completion performance. It is found ...
Combining experts in order to identify binding sites in yeast and mouse genomic data
(2008)
The identification of cis-regulatory binding sites in DNA is a difficult problem in computational biology. To obtain a full understanding of the complex machinery embodied in genetic regulatory networks it is necessary to ...
Combining experts in order to identify binding sites in genomic data
(2008)
The identification of cis-regulatory binding sites in DNA is a difficult problem in computational biology. To obtain a full understanding of the complex machinery embodied in genetic regulatory networks it is necessary to ...
Prediction of Binding Sites in the Mouse Genome Using Support Vector Machines
(2008)
Computational prediction of cis-regulatory binding sites is widely acknowledged as a difficult task. There are many different algorithms for searching for binding sites in current use. However, most of them produce a high ...
Recognizing Facial Expressions : A Comparison of Computational Approaches
(2008)
Recognizing facial expressions are a key part of human social interaction,and processing of facial expression information is largely automatic, but it is a non-trivial task for a computational system. The purpose of this ...
Connectivity graphs and the performance of sparse associative memory models
(Institute of Electrical and Electronics Engineers (IEEE), 2008)
Adaptive Olfactory Encoding in Agents Controlled by Spiking Neural Networks
(2008)
We created a neural architecture that can use two different types of information encoding strategies depending on the environment. The goal of this research was to create a simulated agent that could react to two different ...
Optimal noise in spiking neural networks for the detection of chemicals by simulated agents
(MIT Press, 2008)
We created a spiking neural controller for an agent that could use two different types of information encoding strategies depending on the level of chemical concentration present in the environment. The first goal of this ...