2010 Advanced Technology For a Future Jsf from Ore in the Ground to Parts on the Aeroplane Proceedings of the Australian Jsf Advanced Technology Innovation 2010 Conference, 2010
ABSTRACT Knowledge of the activity of single neurons is crucial for understanding neural function... more ABSTRACT Knowledge of the activity of single neurons is crucial for understanding neural functions. Therefore the process of attributing every single spike to a particular neuron, called spike sorting, is particularly important in electrophysiological data analysis. This task however is greatly complicated because of numerous factors. Bursts or fast changes in ion channel activation or deactivation can cause a large variability of spike waveforms. Another considerable source of uncertainties results from noise caused by firing of nearby neurons. Movement of electrodes and external electrical noise from the environment also hamper the spike sorting. This paper introduces an integrated approach of diffusion maps (DM), silhouette statistics, and k-means clustering methods for spike sorting. DM is employed to extract spike features that are highly capable of discriminating different spike shapes. The combination of k-means and silhouette statistics provides an automatic unsupervised clustering, which takes features extracted by DM as inputs. Experimental results demonstrate the noticeable superiority of the features extracted by DM compared to those selected by wavelet transformation (WT). Accordingly, the proposed integrated method significantly dominates the popular existing combination of WT and superparamagnetic clustering regarding spike sorting accuracy.
2013 UKSim 15th International Conference on Computer Modelling and Simulation, 2013
ABSTRACT Image fusion process merges two images into a single more informative image. Objective i... more ABSTRACT Image fusion process merges two images into a single more informative image. Objective image fusion per- formance metrics rely primarily on measuring the amount of information transferred from each source image into the fused image. Objective image fusion metrics have evolved from image processing dissimilarity metrics. Additionally, researchers have developed many additions to image dissimilarity metrics in order to better value the local fusion worthy features in source images. This paper studies the evolution of objective image fusion performance metrics and their subjective and objective validation. It describes how a fusion performance metric evolves starting with image dissimilarity metrics, its realization into image fusion contexts, its localized weighting factors and the validation process.
ABSTRACT Maintaining autonomy in fusion systems requires clear identification of the fusion objec... more ABSTRACT Maintaining autonomy in fusion systems requires clear identification of the fusion objective function, fusion errors, worthiness of signals, and the maximum amount of information to be squeezed into certain spatial dimensions.
This study assessed the utility of measures of Self-efficacy (SelfEfficacy) and Perceived VE effi... more This study assessed the utility of measures of Self-efficacy (SelfEfficacy) and Perceived VE efficacy (PVEefficacy) for quantifying how effective VEs are in procedural task training. SelfEfficacy and PVEefficacy have been identified as affective construct potentially ...
2010 Advanced Technology For a Future Jsf from Ore in the Ground to Parts on the Aeroplane Proceedings of the Australian Jsf Advanced Technology Innovation 2010 Conference, 2010
ABSTRACT Knowledge of the activity of single neurons is crucial for understanding neural function... more ABSTRACT Knowledge of the activity of single neurons is crucial for understanding neural functions. Therefore the process of attributing every single spike to a particular neuron, called spike sorting, is particularly important in electrophysiological data analysis. This task however is greatly complicated because of numerous factors. Bursts or fast changes in ion channel activation or deactivation can cause a large variability of spike waveforms. Another considerable source of uncertainties results from noise caused by firing of nearby neurons. Movement of electrodes and external electrical noise from the environment also hamper the spike sorting. This paper introduces an integrated approach of diffusion maps (DM), silhouette statistics, and k-means clustering methods for spike sorting. DM is employed to extract spike features that are highly capable of discriminating different spike shapes. The combination of k-means and silhouette statistics provides an automatic unsupervised clustering, which takes features extracted by DM as inputs. Experimental results demonstrate the noticeable superiority of the features extracted by DM compared to those selected by wavelet transformation (WT). Accordingly, the proposed integrated method significantly dominates the popular existing combination of WT and superparamagnetic clustering regarding spike sorting accuracy.
2013 UKSim 15th International Conference on Computer Modelling and Simulation, 2013
ABSTRACT Image fusion process merges two images into a single more informative image. Objective i... more ABSTRACT Image fusion process merges two images into a single more informative image. Objective image fusion per- formance metrics rely primarily on measuring the amount of information transferred from each source image into the fused image. Objective image fusion metrics have evolved from image processing dissimilarity metrics. Additionally, researchers have developed many additions to image dissimilarity metrics in order to better value the local fusion worthy features in source images. This paper studies the evolution of objective image fusion performance metrics and their subjective and objective validation. It describes how a fusion performance metric evolves starting with image dissimilarity metrics, its realization into image fusion contexts, its localized weighting factors and the validation process.
ABSTRACT Maintaining autonomy in fusion systems requires clear identification of the fusion objec... more ABSTRACT Maintaining autonomy in fusion systems requires clear identification of the fusion objective function, fusion errors, worthiness of signals, and the maximum amount of information to be squeezed into certain spatial dimensions.
This study assessed the utility of measures of Self-efficacy (SelfEfficacy) and Perceived VE effi... more This study assessed the utility of measures of Self-efficacy (SelfEfficacy) and Perceived VE efficacy (PVEefficacy) for quantifying how effective VEs are in procedural task training. SelfEfficacy and PVEefficacy have been identified as affective construct potentially ...
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Papers by Asim Bhatti