12,865 research outputs found

    Neural Mechanisms for Information Compression by Multiple Alignment, Unification and Search

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    This article describes how an abstract framework for perception and cognition may be realised in terms of neural mechanisms and neural processing. This framework — called information compression by multiple alignment, unification and search (ICMAUS) — has been developed in previous research as a generalized model of any system for processing information, either natural or artificial. It has a range of applications including the analysis and production of natural language, unsupervised inductive learning, recognition of objects and patterns, probabilistic reasoning, and others. The proposals in this article may be seen as an extension and development of Hebb’s (1949) concept of a ‘cell assembly’. The article describes how the concept of ‘pattern’ in the ICMAUS framework may be mapped onto a version of the cell assembly concept and the way in which neural mechanisms may achieve the effect of ‘multiple alignment’ in the ICMAUS framework. By contrast with the Hebbian concept of a cell assembly, it is proposed here that any one neuron can belong in one assembly and only one assembly. A key feature of present proposals, which is not part of the Hebbian concept, is that any cell assembly may contain ‘references’ or ‘codes’ that serve to identify one or more other cell assemblies. This mechanism allows information to be stored in a compressed form, it provides a robust mechanism by which assemblies may be connected to form hierarchies and other kinds of structure, it means that assemblies can express abstract concepts, and it provides solutions to some of the other problems associated with cell assemblies. Drawing on insights derived from the ICMAUS framework, the article also describes how learning may be achieved with neural mechanisms. This concept of learning is significantly different from the Hebbian concept and appears to provide a better account of what we know about human learning

    Maternal label and gesture use affects acquisition of specific object names

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    Ten mothers were observed prospectively, interacting with their infants aged 0 ; 10 in two contexts (picture description and noun description). Maternal communicative behaviours were coded for volubility, gestural production and labelling style. Verbal labelling events were categorized into three exclusive categories: label only; label plus deictic gesture; label plus iconic gesture. We evaluated the predictive relations between maternal communicative style and children's subsequent acquisition of ten target nouns. Strong relations were observed between maternal communicative style and children's acquisition of the target nouns. Further, even controlling for maternal volubility and maternal labelling, maternal use of iconic gestures predicted the timing of acquisition of nouns in comprehension. These results support the proposition that maternal gestural input facilitates linguistic development, and suggest that such facilitation may be a function of gesture type

    Recent Trends and Research Issues in Video Association Mining

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    Aerospace Medicine and Biology: A continuing bibliography with indexes (supplement 314)

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    This bibliography lists 139 reports, articles, and other documents introduced into the NASA scientific and technical information system in August, 1988

    Protracted development of brain systems underlying working memory in adolescence: a longitudinal study

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    Working memory (WM), the ability to hold information on line to guide planned behavior, continues to improve through adolescence in parallel with brain maturational processes of systems known to support it. Initial studies have only examined individuals once or twice, limiting our understanding of developmental trajectories, leading to sparse and conflicting results. Further, it is unclear how age-related changes in WM performance and neural processes are associated, and what mechanisms might underlie these changes. In this study, we report on developmental improvements of WM performance and changes in brain function and connectivity of systems underlying WM using functional magnetic resonance imaging (fMRI) and diffusion tensor imaging (DTI), in a large longitudinal sample in which participants were followed annually for up to nine years. First, results confirmed that WM performance continues to improve into the early 20's. Alongside these refinements, brain activity in the frontal eye fields (FEF) and parietal cortex continue to change during this time; age-related changes in prefrontal regions were specifically associated with WM performance, suggesting a primary role in WM improvements. Supporting these changes, task-related functional connectivity from dorsolateral prefrontal cortex (DLPFC) to FEF, visual association cortex (VAC), and cingulate regions continued to change during adolescence and were related to WM development. Greater connectivity was associated with less mature behavior, suggesting a decreased reliance on top-down communication to support WM with development. DTI results indicated robust increases in white matter integrity across the brain with the several tracts connecting prefrontal and posterior systems, continuing to mature into early adulthood. Further, white matter measures were correlated with behavior, functional activity, and functional connectivity, suggesting that the development of structural connections may provide a scaffold on which cognitive and functional brain development can specialize. Taken together, these results suggest that while regional prefrontal function supports the transition from childhood to adolescence, the period of transition to adult level WM performance is characterized, by enhancements in prefrontal functional and structural connectivity to posterior regions supporting mnemonic aspects of working memory residing in attention and visual association regions
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