The perception of auditory motion in sighted and early blind individuals

Principles governing the effects of sensory loss on human abilities: An integrative review

Blindness or deafness can significantly influence sensory abilities in intact modalities, affecting communication, orientation and navigation. Explanations for why certain abilities are enhanced and others degraded include: crossmodal cortical reorganization enhances abilities by providing additional neural processing resources; and sensory processing is impaired for tasks where calibration from the normally intact sense is required for good performance. However, these explanations are often specific to tasks or modalities, not accounting for why task-dependent enhancement or degradation are observed. This paper investigates whether sensory systems operate according to a theoretical framework comprising seven general principles (the perceptual restructuring hypothesis) spanning the various modalities. These principles predict whether an ability will be enhanced or degraded following sensory loss. Evidence from a wide range of studies is discussed, to assess the validity of the principles across different combinations of impaired sensory modalities (deafness or blindness) and intact modalities (vision, audition, touch, olfaction). It is concluded that sensory systems do operate broadly according to the principles of the framework, but with some exceptions.

A brief reference to AI-driven audible reality (AuRa) in open world: potential, applications, and evaluation

Recent developments on artificial intelligence (AI) and machine learning (ML) techniques are expected to have significant impact on public health in several ways. Indeed, modern AI/ML methods have been applied on multiple occasions on topics ranging from drug discovery and disease diagnostics to personalized medicine, medical imaging, and healthcare operations. While such developments may improve several quality-of-life aspects (such as access to health services and education), it is important considering that some individuals may face more challenges, particularly in extreme or emergency situations. In this work, we focus on utilizing AI/ML components to support scenarios when visual impairment or other limitations hinder the ability to interpret the world in this way. Specifically, we discuss the potential and the feasibility of automatically transferring key visual information into audio communication, in different languages and in real-time-a setting which we name 'audible reality' (AuRa). We provide a short guide to practical options currently available for implementing similar solutions and summarize key aspects for evaluating their scope. Finally, we discuss diverse settings and functionalities that AuRA applications could have in terms of broader impact, from a social and public health context, and invite the community to further such digital solutions and perspectives soon.

A unified model for cross-modal plasticity and skill acquisition

Historically, cross-modal plasticity following early blindness has been largely studied in the context of visual deprivation. However, more recently, there has been a shift in focus towards understanding cross-modal plasticity from the perspective of skill acquisition: the striking plasticity observed in early blind individuals reflects the extraordinary perceptual and cognitive challenges they solve. Here, inspired by two seminal papers on skill learning (the "cortical recycling" theory) and cross-modal plasticity (the "metamodal" hypothesis) respectively, we present a unified hypothesis of cortical specialization that describes how shared functional, algorithmic, and structural constraints might mediate both types of plasticity.