As life expectancy increases in modern societies, a greater importance has recently started to be given to cognitive aging. Alzheimer's disease (AD) affects the memory capability of individuals at advanced ages, independently of their general physical health. However, AD is suggested to have an undetectable development many years prior the first clear behavioral symptoms. This silent presence of AD may allow scientists to detect its initial stages, at which a combination of prevention treatments, such as medication and cognitive training, can be more effective. This study extends a line of research that aims to identify possible 'silent' biomarkers of AD using working memory performance and electrophysiological recordings (EEG) in healthy adults. Working memory (aka., short-term memory) is a memory sub-type used in everyday life that allows us to execute tasks in short periods of time. Given the significant parallels of working memory with other forms of long-term memory and its clear facility to be employed in experimental settings of short duration, working memory is a suitable candidate to identify early biomarkers of memory deficits ingeneral. In this study we assessed the cognitive performance and the electrophysiological response - via EEG signals - in a visual working memory recognition task that included the interference of past memories over the present ones. This 'proactive interference' effect is evaluated has a possible biomarker candidate for AD. Our findings reveal that subjects take longer reaction times in the recognition of visual items in the proactive interference condition in comparison to no interference. Additionally, we report an early (170-180 ms) and a later (430-450 ms) EEG components (ERP) that underlies the neural processing responsible for the resolution of this working memory interference. These two time intervals are interpreted as revealing the resolution of proactive interference at two difference stages of visual information processing ('letters'): the phonological (sub-lexical) and semantic (lexical) levels respectively. / --

A number of previous investigations have suggested that schema learning would be more readily facilitated by a recognition task than a reproduction task due to the increased memory requirement of the reproduction task. Differential memory requirements of 0, 4, 8, 16 and 32 seconds were imposed on 50 Ss in a recognition task to determine if increased memory requirements improved schema learning in the same mode as the reproduction task. The results indicated no significant improvement in schema learning with increased memory requirement. The data does suggest negative transfer from reproduction to recognition task. Recommendations for design and procedural improvements are included.

<p>Tactile speech communication allows individuals to understand speech by sensations transmitted through the sense of touch. Devices that enable tactile speech communication can be an effective means to transmit important messages when the visual and/or auditory systems are overloaded or impaired. This has applications in silent communication and for people with hearing and/or visual impairments. An effective artificial speech communication system must be learned in a reasonable time and be easily remembered. Moreover, it must transmit any word at suitable rates for speech communication. The pursuit of a system that fulfills these requirements is a complex task that requires work in different areas. This thesis presents advancements in four of them. First is the matter of encoding speech information. Here, a phonemic-based approach allowed participants to recognize of tactile phonemes, words, phrases and full sentences. Second is the issue of training users in the use of the system. To this end, this thesis investigated the phenomenon of incidental categorization of vibrotactile stimuli as the foundation of more natural methods to learn a tactile speech communication system. Third is the matter of the neural processing of the tactile speech information. Here, an exploration of the functional characteristics of the phonemic-based approach using EEG was conducted. Finally, there is the matter of implementing the system for consumer use. In this area, this work addresses practical considerations of delivering rich haptic effects with current wearable technologies. These are informative for the design of actuators used in tactile speech communication devices.</p>