introduction: learning and memory deficits in some diseases are new subjects of research. bupropion, as dopamine and noradrenaline reuptake inhibitor and an antidepressant agent, has been previously shown to affect learning and memory processes. this study was designed to test the effect of intra-hippocompal bupropion injection on active avoidance learning task in rats. methods: adult male wist...

there are several conflicting evidences showing the effect of morphine on learning and memory processes. in the present study the effect of chronic morphine administration on passive avoidance, active avoidance and spatial learning and memory of morphine dependent male rats using passive avoidance shuttle box and morris water maze tasks were investigated, respectively. male rats received morphi...

In a lifelong learning framework, an agent acquires knowledge incrementally over consecutive learning tasks, continually building upon its experience. Recent lifelong learning algorithms have achieved nearly identical performance to batch multi-task learning methods while reducing learning time by three orders of magnitude. In this paper, we further improve the scalability of lifelong learning ...

In this paper, we propose an Active Learning (AL) framework for the Multi-Task Adaptive Filtering (MTAF) problem. Specifically, we explore AL approaches to rapidly improve an MTAF system, based on Dirichlet Process priors, with minimal user/task-level feedback. The proposed AL approaches select instances for delivery with a two-fold objective: 1) Improve future task-specific system performance ...

The recently developed Efficient Lifelong Learning Algorithm (ELLA) acquires knowledge incrementally over a sequence of tasks, learning a repository of latent model components that are sparsely shared between models. ELLA shows strong performance in comparison to other multi-task learning algorithms, achieving nearly identical performance to batch multi-task learning methods while learning task...

Many problems in information extraction, text mining, natural language processing and other fields exhibit the same property: multiple prediction tasks are related in the sense that their outputs (labels) satisfy certain constraints. In this paper, we propose an active learning framework exploiting such relations among tasks. Intuitively, with task outputs coupled by constraints, active learnin...

Vision constitutes the most important sense in the vast majority of animals. Researchers in robotic systems, where biological inspiration has been always a reference, frequently try to make use of vision as a primary sensor. The technological advances have notably favoured this, permitting the incorporation of cameras to a wide variety of robots, including even low cost models. Initially config...