‘Disability and HIV in Africa: Breaking the barriers to sexual health care’

Three decades in to the HIV pandemic, the issues affecting people with disabilities remains less known. Increasing attention has been given to this overlooked population when it comes to HIV prevention, treatment and care. This is related to the significant unmet sexual and reproductive health care needs facing people with disabilities worldwide. This article discusses the barriers to sexual health for people with disabilities in Africa, and presents an argument about how mainstream HIV prevention work and research does not adequately attend to the sorts of systemic barriers that exclude people with disabilities, which a more targeted, and critical approach could.

Spiking neural network model of sound localisation using the interaural intensity difference

In this paper, a spiking neural network (SNN) architecture to simulate the sound localization ability of the mammalian auditory pathways using the interaural intensity difference cue is presented. The lateral superior olive was the inspiration for the architecture, which required the integration of an auditory periphery (cochlea) model and a model of the medial nucleus of the trapezoid body. The SNN uses leaky integrateand-fire excitatory and inhibitory spiking neurons, facilitating synapses and receptive fields. Experimentally derived headrelated transfer function (HRTF) acoustical data from adult domestic cats were employed to train and validate the localization ability of the architecture, training used the supervised learning algorithm called the remote supervision method to determine the azimuthal angles. The experimental results demonstrate that the architecture performs best when it is localizing high-frequency sound data in agreement with the biology, and also shows a high degree of robustness when the HRTF acoustical data is corrupted by noise.