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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 ...
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 ...
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 ...
Prediction of skin penetration using machine learning methods
(Institute of Electrical and Electronics Engineers (IEEE), 2008)
Improving predictions of the skin permeability coefficient is a difficult problem. It is also an important issue with the increasing use of skin patches as a means of drug delivery. In this work, we applyK-nearest-neighbour ...
Adaptive Electrical Signal Post-Processing in Optical Communication Systems
(INSTICC (Inst. Syst. Technologies Information Control and Communication), 2008)
Improving bit error rates in optical communication systems is a difficult and important problem. The error correction must take place at high speed and be extremely accurate. We show the feasibility of using hardware ...
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 ...
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 ...
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 ...
Receptor response and soma leakiness in a simulated spiking neural controller for a robot
(INSTICC (Inst. Syst. Technologies Information Control and Communication), 2008)
This paper investigates different models of leakiness for the soma of a simulated spiking neural controller for a robot exhibiting negative photo-taxis. It also investigates two models of receptor response to stimulus ...
Determinants of pattern recognition by cerebellar Purkinje cells
(2008)
Poster presented at CNS 2008