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Clustering predicts memory performance in networks of spiking and non-spiking neurons
(2011)
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 that results in ...
Further thoughts on precision
(2011)
Background: There has been much discussion amongst automated software defect prediction researchers regarding use of the precision and false positive rate classifier performance metrics. Aim: To demonstrate and explain why ...
The misuse of the NASA metrics data program data sets for automated software defect prediction
(Institution of Engineering and Technology (IET), 2011)
Background: The NASA Metrics Data Program data sets have been heavily used in software defect prediction experiments. Aim: To demonstrate and explain why these data sets require significant pre-processing in order to be ...
The Beneficial Effects of Non-specific Synaptic Plasticity for Pattern Recognition in Auto-associative Memory
(2011)
Poster presented at CNS 2011
Effect of using varying negative examples in transcription factor binding site predictions
(2011)
Identifying transcription factor binding sites computationally is a hard problem as it produces many false predictions. Combining the predictions from existing predictors can improve the overall predictions by using ...
STD-dependent and independent encoding of input irregularity as spike rate in a computational model of a cerebellar nucleus neuron
(2011)
Neurons in the cerebellar nuclei (CN) receive inhibitory inputs from Purkinje cells in the cerebellar cortex and provide the major output from the cerebellum, but their computational function is not well understood. It has ...
The effect of dendritic morphology on pattern recognition in the presence of active conductances
(2011)
Poster presented at CNS 2011
Categorizing facial expressions : a comparison of computational models
(2011)
Recognizing expressions is a key part of human social interaction, and processing of facial expression information is largely automatic for humans, but it is a non-trivial task for a computational system. The purpose of ...