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10.1016/j.tics.2014.12.010 http://scihub22266oqcxt.onion/10.1016/j.tics.2014.12.010 C4348214!4348214!25631249     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Trends+Cogn+Sci 2015 ; 19 (3): 117-25 Nephropedia Template TP {{tp|p=25631249|t=2015. Domain generality vs modality specificity: The paradox of statistical learning |pdf=|usr=}}{{25631249}} gab.com Text Domain generality vs modality specificity: The paradox of statistical learning JO: Trends Cogn Sci http://www.kidney.de/pget.php?&tw=1&pmid=25631249 #FOAvip Statistical learning is typically considered to be a domain-general mechanism by which cognitive systems discover the underlying distributional properties of the input. Recent studies examining whether there are commonalities in the learning of distributional information across different domains or modalities consistently reveal, however, modality and stimulus specificity. An important question is, therefore, how and why a hypothesized domain-general learning mechanism systematically produces such effects. We offer a theoretical framework according to which statistical learning is not a unitary mechanism, but a set of domain-general computational principles, that operate in different modalities and therefore are subject to the specific constraints characteristic of their respective brain regions. This framework offers testable predictions and we discuss its computational and neurobiological plausibility. Twit Text FOAVip Domain generality vs modality specificity: The paradox of statistical learning ????Trends Cogn Sci http://www.kidney.de/pget.php?&tw=1&pmid=25631249 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=25631249 #FOAvip English Wikipedia <ref>{{Cite pmid|25631249}}</ref> Domain generality vs modality specificity: The paradox of statistical learning #MMPMID25631249 Frost R; Armstrong BC; Siegelman N; Christiansen MH Trends Cogn Sci 2015[Mar]; 19 (3): 117-25 PMID25631249show ga Statistical learning is typically considered to be a domain-general mechanism by which cognitive systems discover the underlying distributional properties of the input. Recent studies examining whether there are commonalities in the learning of distributional information across different domains or modalities consistently reveal, however, modality and stimulus specificity. An important question is, therefore, how and why a hypothesized domain-general learning mechanism systematically produces such effects. We offer a theoretical framework according to which statistical learning is not a unitary mechanism, but a set of domain-general computational principles, that operate in different modalities and therefore are subject to the specific constraints characteristic of their respective brain regions. This framework offers testable predictions and we discuss its computational and neurobiological plausibility. äDomain generality vs modality specificity: The paradox of statistical(epmc).pdf DeepDyve Pubget Overpricing