492 KB59 KB194820252016Bon, JurijPerenič, Urškaštevilka:1letnik:64str. 13-31ISSN:0350-6894COBISSID:60287330URN:URN:NBN:SI:doc-6GCRUJ89slSlavistično društvo SlovenijeSlavistična revijaactivated states modelsbrain rhythmsbranjecognitive neuroscienceelektroencefalografijaempirical literary studiesempirična literarna znanostjezikovna obdelavakognitivna nevroznanostlanguage processingmožganski ritmireadingsilent readingtiho branjetime-frequency analyisisEksperimentalna uporaba kvantitativne elektroencefalografije pri analizi (literarnega) branja| časovno-frekvenčna analiza|The article is the second part of the survey on the use of the electroencephalographic (EEG) methods in the analysis of (literary) reading. Contrary to prevalent cognitive theories, which propose that the brain works according to the principle of specialized modular processes (the so-called modular model), alternative theories supported by emerging brain imaging data presuppose the existence and simultaneous interactions of a number of different representations, supported and maintained by distributed neuronal mechanisms (the so-called activated states model). This question can also be approached by using the time-frequency analysis of EEG data, which, compared to the classic ERP analysis, allows an insight into parallel processing by dividing time course of oscillatory electrical activity of the brain into frequency bands. Individual frequency bands are considered to be important for various aspects of cognitive mechanisms, which are also the basis of language processing in reading. In this context, the most interesting rapid brain rhythms are beta and gamma and the most interesting slow rhythm is thetaČlanek je drugi del prispevka o uporabi EEG metod za namene analize (literarnega) branja. V opreki s tradicionalnimi kognitivnimi teorijami, po katerih možgani delujejo po principu specializiranih procesov (t. i. modularni model), nove teorije predvidevajo obstoj in sočasno delovanje zelo različnih nevronskih mehanizmov, ki omogočajo vzdrževanje reprezentacij (t. i. modeli aktiviranih stanj). Naravi kognitivnih mehanizmov se lahko približamo tudi z uporabo časovno-frekvenčne analize, ki v primerjavi s klasično ERP analizo nudi vpogled v vzporedno potekajoče procese z ločevanjem oscilatorne električne aktivnosti možganov na frekvenčna območja. Predvidevajo, da so posamezna frekvenčna območja pomembna za različne vidike kognitivnih mehanizmov, ki so podlaga tudi jezikovni obdelavi pri branju. V tem kontekstu so med hitrimi možganskimi ritmi najbolj zanimivi ritmi beta in gama, med počasnimi ritmi pa thetaTEXTznanstveno časopisjejournalsSlovenian National E-content AggregatorNational and University Library of SloveniaSlavistično društvo Slovenije