Academic literature on the topic 'Attentional suppression'
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Journal articles on the topic "Attentional suppression"
Carlisle, Nancy, and Aleksander Nitka. "Controlled Attentional Suppression." Journal of Vision 15, no. 12 (September 1, 2015): 230. http://dx.doi.org/10.1167/15.12.230.
Full textKerzel, Dirk, Stanislas Huynh Cong, and Nicolas Burra. "Do we need attentional suppression?" Visual Cognition 29, no. 9 (September 28, 2021): 580–82. http://dx.doi.org/10.1080/13506285.2021.1918304.
Full textCaputo, Giovanni, and Sergio Guerra. "Attentional selection by distractor suppression." Vision Research 38, no. 5 (March 1998): 669–89. http://dx.doi.org/10.1016/s0042-6989(97)00189-2.
Full textGeng, Joy J. "Attentional Mechanisms of Distractor Suppression." Current Directions in Psychological Science 23, no. 2 (April 2014): 147–53. http://dx.doi.org/10.1177/0963721414525780.
Full textKerzel, Dirk, and Nicolas Burra. "Capture by Context Elements, Not Attentional Suppression of Distractors, Explains the PD with Small Search Displays." Journal of Cognitive Neuroscience 32, no. 6 (June 2020): 1170–83. http://dx.doi.org/10.1162/jocn_a_01535.
Full textStilwell, Brad T., Howard Egeth, and Nicholas Gaspelin. "Electrophysiological Evidence for the Suppression of Highly Salient Distractors." Journal of Cognitive Neuroscience 34, no. 5 (March 31, 2022): 787–805. http://dx.doi.org/10.1162/jocn_a_01827.
Full textXu, Zhenzhen, Sander A. Los, and Jan Theeuwes. "Attentional suppression in time and space." Journal of Experimental Psychology: Human Perception and Performance 47, no. 8 (August 2021): 1056–62. http://dx.doi.org/10.1037/xhp0000925.
Full textMoher, Jeff. "Context-driven suppression of attentional capture." Journal of Vision 15, no. 12 (September 1, 2015): 312. http://dx.doi.org/10.1167/15.12.312.
Full textConstans, Joseph I., Michael S. McCloskey, Jennifer J. Vasterling, Kevin Brailey, and Andrew Mathews. "Suppression of Attentional Bias in PTSD." Journal of Abnormal Psychology 113, no. 2 (May 2004): 315–23. http://dx.doi.org/10.1037/0021-843x.113.2.315.
Full textRees, G. "Attentional suppression in human extrastriate cortex." Trends in Cognitive Sciences 3, no. 2 (February 1999): 46. http://dx.doi.org/10.1016/s1364-6613(99)01287-5.
Full textDissertations / Theses on the topic "Attentional suppression"
Williams, Terrance James. "Source localization of P50 suppression in schizophrenia basic processes and attentional effects /." Diss., Restricted to subscribing institutions, 2007. http://proquest.umi.com/pqdweb?did=1459916301&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.
Full textMagnusson, Oscar. "Attentional selection and suppression in non-clinical adults : An event-related potential study." Thesis, Högskolan i Skövde, Institutionen för biovetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-18727.
Full textBretherton, Paul. "The neural mechanisms of attention : exploring threat-related suppression and enhancement using ERPs." Thesis, University of Roehampton, 2016. https://pure.roehampton.ac.uk/portal/en/studentthesis/the-neural-mechanisms-of-attention(87e183ac-3a36-40e6-9c69-91f7c1209e87).html.
Full textNishioka, Tadaaki. "Chemogenetic Suppression of the Subthalamic Nucleus Induces Attentional Deficits and Impulsive Action in a Five-Choice Serial Reaction Time Task in Mice." Kyoto University, 2020. http://hdl.handle.net/2433/259013.
Full textSeidelman, Will. "THE EFFECT OF PRACTICE ON EYE MOVEMENTS IN THE 1/D PARADIGM." UKnowledge, 2011. http://uknowledge.uky.edu/gradschool_theses/151.
Full textKovalenko, Lyudmyla. "The temporal interplay of vision and eye movements." Doctoral thesis, Humboldt-Universität zu Berlin, Lebenswissenschaftliche Fakultät, 2016. http://dx.doi.org/10.18452/17507.
Full textThe visual system achieves a tremendous amount of processing as soon as we set eyes on a new object. Numerous processes are active already before eyes reach the object. This thesis explores the spatio-temporal properties of three such processes: attentional enhancement and saccadic suppression that accompany saccades to target; attentional selection of target in a visual search task; the timecourse of target detection accuracy under object-substitution masking. We monitored these events using a combination of human electrophysiology (EEG), eye tracking and behavioral psychophysics. We first studied how the neural representation of a visual stimulus is affected by its temporal proximity to saccade onset. We show that stimuli immediately preceding a saccade show strongest effects of attentional enhancement and saccadic suppression. Second, using object-substitution masking to reduce visibility, we analyzed the relationship between saccadic reaction times and response accuracy. We also collected subjective visibility ratings and observed neural markers of attentional selection, such as the negative, posterior-contralateral deflection at 200 ms (N2pc). We found that fast saccades escaped the effects of masking, resulted in higher response accuracy and higher awareness ratings. This indicates that early visual processing can trigger awareness and correct behavior. Finally, we replicated this finding with manual responses. Discovering a similar accuracy timecourse in a different modality ruled out saccade-specific mechanisms, such as saccadic suppression and retinal shift, as a potential confound. Next to their theoretical impact, all studies make a methodological contribution to EEG-eye movement research, such as removal of large-scale saccadic artifacts from EEG data and composition of matched surrogate data. In sum, this work uses multiple approaches to describe the dynamics of visual perisaccadic perception and offers solutions for future studies in this field.
Daly, Heather R. "Object-based suppression in auditory selective attention: The influence of statistical learning." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu156284796614726.
Full textThomas, George. "Evaluating the impact of the 'Paws .b' mindfulness programme on mainstream Primary School aged pupils' suppressing and sustaining attention skills, and their academic proxy measures." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/evaluating-the-impact-of-the-paws-b-mindfulness-programme-on-mainstream-primary-school-aged-pupils-suppressing-and-sustaining-attention-skills-and-their-academic-proxy-measures(1712d5dd-3e0d-4ce7-bcb0-66026081b98f).html.
Full textOssandon, Valdes Tomas. "A prefrontal-temporal network underlying state changes between Stimulus-Driven and Stimulus-Independent Cognition." Phd thesis, Université Claude Bernard - Lyon I, 2010. http://tel.archives-ouvertes.fr/tel-00726306.
Full textHan-YuanLai and 賴瀚元. "The effects of Attention on Repetition Suppression in Priming and Recognition Tasks." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/h7mvwd.
Full text國立成功大學
心理學系認知科學碩士班
103
Repetition suppression (RS) refers to the phenomenon that when seeing repeated stimuli, some brain regions would show decreased neural activations responding to the stimuli. It has been proposed to be the underlying neural mechanism of behavioral priming effect, and it thought to be a perceptual-level and automatic process; therefore, it should exist regardless of task demand or instructions. It has been the basis for developing some tools to study visual systems, such as the fMR-Adaptation method. It has the advantage of overcome some of the limitation of the spatial resolution of fMRI. However, although many studies has found RS using priming paradigms, few has reported RS using recognition memory paradigms, even though they are very similar to each other. One explanation is that repetition suppression is not low-level mechanism. The other one is that RS is automatic, but in a traditional recognition memory task, participants’ attention might be shifted to “finding old/repeated stimuli”. And this may imposed additional attention-related neural activations to the original responses, thus washing out the decreased activations due to RS. Our research examined the latter hypothesis described above. We conducted a priming and three different versions of recognition memory tasks, and then compared their fMRI RS responses to see how attentional manipulations might affect RS. The results generally supported our hypothesis. When participants were required to only respond to the new stimuli, certain brain regions produced greater RS than the traditional or respond-to-old-stimuli-only recognition memory tasks. This finding offered some insights for future research on this topic.
Books on the topic "Attentional suppression"
Achkasov, Evgeniy, Andrey Pugaev, Maksim Zabelin, and Vladislav Posudnevskiy. Acute pancreatitis: clinic, diagnosis, treatment. ru: INFRA-M Academic Publishing LLC., 2019. http://dx.doi.org/10.12737/995531.
Full textBocharnikov, Igor'. The Caucasian policy of Russia. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1221629.
Full textBocharnikov, Igor'. The Caucasus in the History of Russia. ru: INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1318777.
Full textSytsma, David S. Baxter and the Rise of Mechanical Philosophy. Oxford University Press, 2017. http://dx.doi.org/10.1093/acprof:oso/9780190274870.003.0002.
Full textMedforth, Janet, Linda Ball, Angela Walker, Sue Battersby, and Sarah Stables. Artificial feeding. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198754787.003.0029.
Full textPollock, Linda. The Affective Life in Shakespearean England. Edited by Malcolm Smuts. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199660841.013.25.
Full textMkenda, Festo. Jesuits and Africa. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199935420.013.56.
Full textEifring, Halvor. Spontaneous Thought in Contemplative Traditions. Edited by Kalina Christoff and Kieran C. R. Fox. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190464745.013.30.
Full textNiedermeier, Silvan. The Color of the Third Degree. Translated by Paul Allen Cohen. University of North Carolina Press, 2019. http://dx.doi.org/10.5149/northcarolina/9781469652979.001.0001.
Full textPlatteau, Jean-Philippe, Giulia Camilotti, and Emmanuelle Auriol. Eradicating Women-Hurting Customs. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198829591.003.0015.
Full textBook chapters on the topic "Attentional suppression"
Beuth, Frederik, Amirhossein Jamalian, and Fred H. Hamker. "How Visual Attention and Suppression Facilitate Object Recognition?" In Artificial Neural Networks and Machine Learning – ICANN 2014, 459–66. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11179-7_58.
Full textLei, Yu, Shuaiqi Liu, Luyao Zhang, Ling Zhao, and Jie Zhao. "Multi-level Residual Attention Network for Speckle Suppression." In Pattern Recognition and Computer Vision, 288–99. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88013-2_24.
Full textStouvenakers, Gilles, Peter Dapprich, Sebastien Massart, and M. Haïssam Jijakli. "Plant Pathogens and Control Strategies in Aquaponics." In Aquaponics Food Production Systems, 353–78. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15943-6_14.
Full textQiu, Zhe, and Xiaodong Gu. "Graph Convolution and Self Attention Based Non-maximum Suppression." In Advances in Neural Networks – ISNN 2019, 77–86. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22796-8_9.
Full textPeng, Xiaojiang, Kai Wang, Zhaoyang Zeng, Qing Li, Jianfei Yang, and Yu Qiao. "Suppressing Mislabeled Data via Grouping and Self-attention." In Computer Vision – ECCV 2020, 786–802. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58517-4_46.
Full textHasson, Katie Ann. "Not a “Real” Period?: Social and Material Constructions of Menstruation." In The Palgrave Handbook of Critical Menstruation Studies, 763–85. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0614-7_56.
Full textDu, Xiaping, Jiayu Huo, Yuanfang Qiao, Qian Wang, and Lichi Zhang. "False Positive Suppression in Cervical Cell Screening via Attention-Guided Semi-supervised Learning." In Predictive Intelligence in Medicine, 93–103. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87602-9_9.
Full textStandridge, Sarah. "Older women and leisure." In Women, leisure and tourism: self-actualization and empowerment through the production and consumption of experience, 82–91. Wallingford: CABI, 2021. http://dx.doi.org/10.1079/9781789247985.0008.
Full textSzturz, Petr, and Jan B. Vermorken. "High-Dose Three-Weekly or Low-Dose Weekly Cisplatin during Radiation, What to Prefer?" In Critical Issues in Head and Neck Oncology, 139–53. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63234-2_10.
Full textOrban, G. A., K. Pauwels, M. M. Van Hulle, and W. Vanduffel. "Attentional Suppression Early in the Macaque Visual System." In Neurobiology of Attention, 429–34. Elsevier, 2005. http://dx.doi.org/10.1016/b978-012375731-9/50075-6.
Full textConference papers on the topic "Attentional suppression"
Juravle, Georgiana, and Charles Spence. "Can tactile suppression be explained by attentional capture?" In 2017 IEEE World Haptics Conference (WHC). IEEE, 2017. http://dx.doi.org/10.1109/whc.2017.7989906.
Full textZhang, Yang, Fan Xiao Shan, and Gang He. "AZY-GCN: Multi-scale feature suppression attentional diagram convolutional network for human pose prediction." In CSAI 2021: 2021 5th International Conference on Computer Science and Artificial Intelligence. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3507548.3507565.
Full textHu, Minghao, Yuxing Peng, Zhen Huang, Xipeng Qiu, Furu Wei, and Ming Zhou. "Reinforced Mnemonic Reader for Machine Reading Comprehension." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/570.
Full textShi, Yangyang, Yongqiang Wang, Chunyang Wu, Christian Fuegen, Frank Zhang, Duc Le, Ching-Feng Yeh, and Michael L. Seltzer. "Weak-Attention Suppression for Transformer Based Speech Recognition." In Interspeech 2020. ISCA: ISCA, 2020. http://dx.doi.org/10.21437/interspeech.2020-1363.
Full textWang, Jiakai, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, and Xianglong Liu. "Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World." In 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2021. http://dx.doi.org/10.1109/cvpr46437.2021.00846.
Full textGao, Guangjie, Yan Gao, Liyang Xu, Huibin Tan, and Yuhua Tang. "DSGA: Distractor-Suppressing Graph Attention for Multi-object Tracking." In ICRAI 2022: 2022 8th International Conference on Robotics and Artificial Intelligence. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3573910.3573916.
Full textWöstmann, Malte, Mohsen Alavash, and Jonas Obleser. "Distractor Suppression Uniquely Contributes to the Lateralized Alpha Response in Spatial Attention." In 2019 Conference on Cognitive Computational Neuroscience. Brentwood, Tennessee, USA: Cognitive Computational Neuroscience, 2019. http://dx.doi.org/10.32470/ccn.2019.1137-0.
Full textJi, Lishan, Bing Han, Qiang Jing, Yunjiang Rao, and Huijuan Wu. "Noise suppression for DAS seismic data with attention-aided generative adversarial network." In Eighth Symposium on Novel Photoelectronic Detection Technology and Applications, edited by Shining Zhu, Qifeng Yu, Junhong Su, Lianghui Chen, and Junhao Chu. SPIE, 2022. http://dx.doi.org/10.1117/12.2625088.
Full textFunazaki, K., K. Yamada, and Y. Kato. "Studies on Effects of Periodic Wake Passing Upon a Blade Leading Edge Separation Bubble: Experimental Investigation Using a Simple Leading Edge Model." In ASME Turbo Expo 2003, collocated with the 2003 International Joint Power Generation Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/gt2003-38281.
Full textNikzad, Mohammad, Yongsheng Gao, and Jun Zhou. "Attention-based Pyramid Dilated Lattice Network for Blind Image Denoising." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/129.
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