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The application of Gaussian processes in the prediction of percutaneous absorption
(2009-09)
Objectives The aim was to assess mathematically the nature of a skin permeability dataset and to determine the utility of Gaussian processes in developing a predictive model for skin permeability, comparing it with existing ...
Attention mechanisms and component-based face detection.
(IEEE, 2009)
Locating and identifying complex objects in a visual scene is a typical problem within the areas of computer vision and image analysis. One technique to minimise the size of image to be identified is to base the classification ...
Using the support vector machine as a classification method for software defect prediction with static code metrics
(2009)
The automated detection of defective modules within software systems could lead to reduced development costs and more reliable software. In this work the static code metrics for a collection of modules contained within ...
The Effect of Different Forms of Synaptic Plasticity on Pattern Recognition in the Cerebellar Cortex
(2009)
Many cerebellar learning theories assume that long-term depression (LTD) of synapses between parallel fibres (PFs) and Purkinje cells (PCs) provides the basis for pattern recognition in the cerebellum. Previous work has ...
Connection Strategies in Associative Memory Models
(2009)
The problem we address in this paper is that of finding effective and parsimonious patterns of connectivity in sparse associative memories. This problem must be addressed in real neuronal systems, so results in artificial ...
Decoding of Purkinje cell pauses by deep cerebellar nucleus neurons
(BioMed Central (BMC), 2009)
The recognition of parallel fibre (PF) input patterns by Purkinje cells has been suggested to underlie cerebellar learning [1,2]. A candidate mechanism for the recognition of PF patterns is the long-term depression (LTD) ...
Evolution of bilateral symmetry in agents controlled by spiking neural networks
(Institute of Electrical and Electronics Engineers (IEEE), 2009)
We present in this paper three novel developmental models allowing information to be encoded in space and time, using spiking neurons placed on a 2D substrate. In two of these models, we introduce neural development that ...
The role of lateral inhibition in the sensory processing in a simulated spiking neural controller for a robot
(Institute of Electrical and Electronics Engineers (IEEE), 2009)
Visual adaptation is the process that allows animals to be able to see over a wide range of light levels. This is achieved partially by lateral inhibition in the retina which compensates for low/high light levels. Neural ...
Connection strategy and performance in sparsely connected 2D associative memory models with non-random images
(2009)
A sparsely connected associative memory model is tested with different pattern sets, and it is found that pattern recall is highly dependent on the type of patterns used. Performance is also found to depend critically on ...