Introduction: Attention deficit hyperactivity disorder (ADHD) is one of the most common childhood psychiatric disorders which is characterized by poor attention and subsequently lower learning capacities comparing with normal children. The purpose of this study was to compare the effectiveness of neurofeedback and perceptual-motor exercises as two common non-pharmacological treatments on visual...

Gaussian Processes have been previously used to model wireless signals strengths and create locationsignal strength mappings. Such mappings can be used for robot localization by computing the posterior probability distributions of robot’s positions given signal strength measurements. This work proposes the use of a dual Monte Carlo Localization algorithm that uses such posterior distributions a...

Machine listening is an area of study which is rapidly increasing in importance. The proliferation of massive sensory corpora, together with the perceptual needs of smart computational devices and smart spaces has lead to this increase. Machine listening provides both a computationally cheap alternative to machine vision, and a source of information that is complementary to visual information; ...

We show how a concise representation of active recognition behavior– what observations to make to detect a given object– can be derived from hidden-state reinforcement learning techniques. These learning techniques can solve decision process tasks which include perceptual observations, defined formally as Partially Observable Markov Decision Processes (POMDP). We define recognition within a POM...

There is mounting evidence that observers rely on statistical summaries of visual information to maintain stable and coherent perception. Sensitivity to the mean (or other prototypical value) of a visual feature (e.g., mean size) appears to be a pervasive process in human visual perception. Previous studies in individuals diagnosed with Autism Spectrum Disorder (ASD) have uncovered characterist...

this study was intended first to categorize the l2 learners in terms of their learning style preferences and second to investigate if their learning preferences are related to lexical inferencing. moreover, strategies used for lexical inferencing and text related issues of text density and parts of speech were studied to determine their moderating effects and the best predictors of lexical infe...

service oriented architecture (soa) technology enables composition of large and complex computational units out of the available atomic services. implementation of soa brings about challenges which include service discovery, service interaction, service composition, robustness, quality of service, security, etc. these challenges are mainly due to the dynamic nature of soa. soamay often need to ...

cloud computing is a new discussion in enterprise it. it has already become popular in terms of distributed technology in some companies. it enables managers to setup and run the intended businesses by avoiding excessive spending on computers, software and hiring expert staff, which proves to be cost effective. cloud computing also helps users pay for the it services without spending massive am...

The problem of mapping differing sensory stimuli onto a common category is fundamental to human cognition. Listeners perceive stable phonetic categories despite many sources of acoustic variability. What are the neural mechanisms that underlie this perceptual stability? In this functional magnetic resonance imaging study, a short-interval habituation paradigm was used to investigate neural sens...