LEADER 04044nam 2200625 450 001 9910137204603321 005 20230621141315.0 010 $a9782889192731 (ebook) 035 $a(CKB)3710000000520139 035 $a(SSID)ssj0001689547 035 $a(PQKBManifestationID)16532311 035 $a(PQKBTitleCode)TC0001689547 035 $a(PQKBWorkID)15058711 035 $a(PQKB)11602943 035 $a(WaSeSS)IndRDA00057939 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/47271 035 $a(EXLCZ)993710000000520139 100 $a20160829d2014 uy | 101 0 $aeng 135 $aur||||||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aEye movement-related brain activity during perceptual and cognitive processing /$ftopic editors Andrey R. Nikolaev, Sebastian Pannasch, Junji Ito and Artem Belopolsky 210 $cFrontiers Media SA$d2014 210 31$aSwitzerland:$cFrontiers Media SA,$d2014 215 $a1 online resource (196 pages) $cillustrations 225 0 $aFrontiers Research Topics 300 $aBibliographic Level Mode of Issuance: Monograph 320 $aIncludes bibliographical references. 330 $aThe recording and analysis of electrical brain activity associated with eye movements has a history of several decades. While the early attempts were primarily focused on uncovering the brain mechanisms of eye movements, more recent approaches use eye movements as markers of the ongoing brain activity to investigate perceptual and cognitive processes. This recent approach of segmenting brain activity based on eye movement behavior has several important advantages. First, the eye movement system is closely related to cognitive functions such as perception, attention and memory. This is not surprising since eye movements provide the easiest and the most accurate way to extract information from our visual environment and the eye movement system largely determines what information is selected for further processing. The eye movement-based segmentation offers a great way to study brain activity in relation to these processes. Second, on the methodological level, eye movements constitute a natural marker to segment the ongoing brain activity. This overcomes the problem of introducing artificial markers such as ones for stimulus presentation or response execution that are typical for a lab-based research. This opens possibilities to study brain activity during self-paced perceptual and cognitive behavior under naturalistic conditions such as free exploration of scenes. Third, by relating eye movement behavior to the ongoing brain activity it is possible to see how perceptual and cognitive processes unfold in time, being able to predict how brain activity eventually leads to behavior. This research topic illustrates advantages of the combined recording and analysis of eye movements and neural signals such as EEG, local field potentials and fMRI for investigation of the brain processes in humans and animals. The contributions include research papers, methodology papers and reviews demonstrating conceptual and methodological achievements in this rapidly developing field. 606 $aNeuroscience$2HILCC 606 $aHuman Anatomy & Physiology$2HILCC 606 $aHealth & Biological Sciences$2HILCC 610 $asaccade 610 $afMRI 610 $aEye Movements 610 $aeye tracking 610 $aEEG 610 $afree viewing 610 $asmooth pursuit 610 $aLocal Field Potentials 615 7$aNeuroscience 615 7$aHuman Anatomy & Physiology 615 7$aHealth & Biological Sciences 676 $a612.8/4 700 $aAndrey R. Nikolaev$4auth$01364872 702 $aIto$b Junji 702 $aPannasch$b Sebastian 702 $aNikolaev$b Andrey R 801 0$bPQKB 801 2$bUkMaJRU 912 $a9910137204603321 996 $aEye movement-related brain activity during perceptual and cognitive processing$93386317 997 $aUNINA