Academic literature on the topic 'Perceptual cycle'
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Journal articles on the topic "Perceptual cycle"
Masuta, Hiroyuki, and Naoyuki Kubota. "An Integrated Perceptual System of Different Perceptual Elements for an Intelligent Robot." Journal of Advanced Computational Intelligence and Intelligent Informatics 14, no. 7 (November 20, 2010): 770–75. http://dx.doi.org/10.20965/jaciii.2010.p0770.
Full textMeese, Tim S., and Mark A. Georgeson. "Spatial Filter Combination in Human Pattern Vision: Channel Interactions Revealed by Adaptation." Perception 25, no. 3 (March 1996): 255–77. http://dx.doi.org/10.1068/p250255.
Full textKANG, JIE, EDWARD C. CHALOUPKA, M. ALYSIA MASTRANGELO, JAY R. HOFFMAN, NICHOLAS A. RATAMESS, and ELIZABETH O???CONNOR. "Metabolic and Perceptual Responses during Spinning?? Cycle Exercise." Medicine & Science in Sports & Exercise 37, no. 5 (May 2005): 853–59. http://dx.doi.org/10.1249/01.mss.0000161826.28186.76.
Full textAltemus, Margaret, Bruce E. Wexler, and Nicholas Boulis. "Changes in perceptual asymmetry with the menstrual cycle." Neuropsychologia 27, no. 2 (January 1989): 233–40. http://dx.doi.org/10.1016/0028-3932(89)90174-7.
Full textLauterbach, Wolf, and Michael J. Kozak. "Stimulus avoidance and perceptual adaptation: A vicious cycle paradigm?" Journal of Behavior Therapy and Experimental Psychiatry 29, no. 3 (September 1998): 199–211. http://dx.doi.org/10.1016/s0005-7916(98)00015-9.
Full textFonzi, Laura, Yoon Kim, Lindsey Shouey, Michael Welikonich, Robert Robertson, Fredric Goss, and Deborah Aaron. "Anticipation Bias During A Cycle Ergometer Perceptual Production Protocol." Medicine & Science in Sports & Exercise 39, Supplement (May 2007): S25. http://dx.doi.org/10.1249/01.mss.0000272978.82010.92.
Full textCockerill, Ian M., Julie A. Wormington, and Alan M. Nevill. "Menstrual-cycle effects on mood and perceptual-motor performance." Journal of Psychosomatic Research 38, no. 7 (October 1994): 763–71. http://dx.doi.org/10.1016/0022-3999(94)90029-9.
Full textCompton, Rebecca J., and Susan Cohen Levine. "Menstrual Cycle Phase and Mood Effects on Perceptual Asymmetry." Brain and Cognition 35, no. 2 (November 1997): 168–83. http://dx.doi.org/10.1006/brcg.1997.0936.
Full textBukhari, Syed Tanweer Shah, and Wajahat Mahmood Qazi. "Perceptual and Semantic Processing in Cognitive Robots." Electronics 10, no. 18 (September 10, 2021): 2216. http://dx.doi.org/10.3390/electronics10182216.
Full textOfir, Dror, Pierantonio Laveneziana, Katherine A. Webb, and Denis E. O'Donnell. "Ventilatory and perceptual responses to cycle exercise in obese women." Journal of Applied Physiology 102, no. 6 (June 2007): 2217–26. http://dx.doi.org/10.1152/japplphysiol.00898.2006.
Full textDissertations / Theses on the topic "Perceptual cycle"
Plant, Katherine. "Investigations into aeronautical decision making using the Perceptual Cycle Model." Thesis, University of Southampton, 2015. https://eprints.soton.ac.uk/388089/.
Full textDuncan, Glen E. "Physiological and perceptual responses to graded treadmill and cycle exercise in male children." Virtual Press, 1994. http://liblink.bsu.edu/uhtbin/catkey/902482.
Full textSchool of Physical Education
Cripwell, Devin Matthew. "Biomechanical, physiological and perceptual responses of three different athlete groups to the cycle-run transition." Thesis, Rhodes University, 2011. http://hdl.handle.net/10962/d1005184.
Full textSridhar, Naren. "Impact of product appearance and other influencing factors in the consumers' decision making : perceptual cycle model of urban young adults in India." Thesis, University of Huddersfield, 2018. http://eprints.hud.ac.uk/id/eprint/34769/.
Full textDugué, Laura. "Attentional and perceptual cycles : investigations using psychophysics, electroencephalography and transcranial magnetic stimulations : (cycles attentionnels et perceptuels)." Toulouse 3, 2013. http://thesesups.ups-tlse.fr/2184/.
Full textDo we experience the world continuously or as a discrete sequence of events, like samples of a video camera? This is the first question motivating my PhD work. Previous experiments have shown that visual information may be sampled periodically by attention, this processing being supported by oscillations in the EEG brain activity. In paper 1, using TMS, we were able to establish for the first time a causal relation between the phase of ongoing oscillations, brain excitation and visual perception. In another series of experiments, we explored the spatio-temporal behaviour of attention during visual search tasks. Using various experiments (papers 2 to 4) and various techniques (TMS, EEG, psychophysics), we brought convincing and converging evidence in favour of a periodic sampling of visual information by attention. Moreover, in paper 5, we were able to clarify an age-old debate concerning visual search tasks by ruling out the possibility that attention is distributed in parallel over all stimuli in the search array, suggesting a sequential processing of the different stimuli during the search. Overall, this PhD work gives strong arguments in favour of a periodic, and perhaps sequential, processing of visual information by attention
Hu, Hongzhan. "Exploring the concept of feedback with perspectives from psychology and cognitive science." Thesis, Linköpings universitet, Interaktiva och kognitiva system, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-107090.
Full textZoefel, Benedikt. "Phase entrainment and perceptual cycles in audition and vision." Thesis, Toulouse 3, 2015. http://www.theses.fr/2015TOU30232/document.
Full textRecent research indicates fundamental differences between the auditory and visual systems: Whereas the visual system seems to sample its environment, cycling between "snapshots" at discrete moments in time (creating perceptual cycles), most attempts at discovering discrete perception in the auditory system failed. Here, we show in two psychophysical experiments that subsampling the very input to the visual and auditory systems is indeed more disruptive for audition; however, the existence of perceptual cycles in the auditory system is possible if they operate on a relatively high level of auditory processing. Moreover, we suggest that the auditory system, due to the rapidly fluctuating nature of its input, might rely to a particularly strong degree on phase entrainment, the alignment between neural activity and the rhythmic structure of its input: By using the low and high excitability phases of neural oscillations, the auditory system might actively control the timing of its "snapshots" and thereby amplify relevant information whereas irrelevant events are suppressed. Not only do our results suggest that the oscillatory phase has important consequences on how simultaneous auditory inputs are perceived; additionally, we can show that phase entrainment to speech sound does entail an active high-level mechanism. We do so by using specifically constructed speech/noise sounds in which fluctuations in low-level features (amplitude and spectral content) of speech have been removed, but intelligibility and high-level features (including, but not restricted to phonetic information) have been conserved. We demonstrate, in several experiments, that the auditory system can entrain to these stimuli, as both perception (the detection of a click embedded in the speech/noise stimuli) and neural oscillations (measured with electroencephalography, EEG, and in intracranial recordings in primary auditory cortex of the monkey) follow the conserved "high-level" rhythm of speech. Taken together, the results presented here suggest that, not only in vision, but also in audition, neural oscillations are an important tool for the discretization and processing of the brain's input. However, there seem to be fundamental differences between the two systems: In contrast to the visual system, it is critical for the auditory system to adapt (via phase entrainment) to its environment, and input subsampling is done most likely on a hierarchically high level of stimulus processing
Brüers, Sasskia. "Towards a « Neuro-Encryption » system : from understanding the influence of brain oscillations in vision to controlling perception." Thesis, Toulouse 3, 2017. http://www.theses.fr/2017TOU30195/document.
Full textOur brain activity is inherently rhythmic: oscillations can be found at all levels of organization. This rhythmicity in brain activity gives a rhythm to what we see: instead of continuously monitoring the environment, our brains take "snapshots" of the external world from 5 to 15 times a second. This creates perceptual cycles: depending on the phase of the underlying oscillation, our perceptual abilities fluctuate. Accumulating evidence shows that brains oscillations at various frequencies are instrumental in shaping visual perception. At the heart of this thesis lies the White Noise Paradigm, which we designed as a tool to better understand the influence of oscillations on visual perception and which ultimately could be used to control visual perception. The White Noise Paradigm uses streams of flashes with random luminance (i.e. white noise) as stimuli, which have been shown to constrain brain oscillations in a predictable manner. The impulse response to WN sequences has a strong (subject specific) oscillatory component at ~10Hz akin to a perceptual echo. Since the impulse response is a model of how our brains respond to one single flash in the sequence, they can be used to reconstruct (rather than record) the brain activity to new stimulation sequences. We then present near-perceptual threshold targets embedded within the WN sequences and extract the time course of these predicted/reconstructed background oscillations around target presentation. Thus, the reconstructed EEG can be used to study the influence of the oscillatory components on visual perception, independently of other types of signals usually recorded in the EEG. First, we validate the White Noise Paradigm by showing that: 1) the WN sequences do modulate behaviour, 2) the perceptual echoes evoked by these WN sequences are stable in time, 3) they are a (relatively) good model of the subject's recorded brain activity and 4) their neuronal basis can be found in the early visual areas. Second, we investigate the relationship between these constrained brain oscillations and visual perception. Specifically, we show that the reconstructed EEG can help us recover the true latency at which (theta) phase influences perception. Moreover, it can help us uncover a causal influence of (alpha) power on target detection, independently from any fluctuation in endogenous factors. Finally, capitalizing on the link between oscillations and perception, we build two algorithms used to control the perception of subjects. First, we build a "universal" forward model which can predict for any observer whether a particular target will be seen or not. Second, we build a subject-dependent model which can predict whether a particular subject (for whom EEG was recorded previously) will perceive a given target or not. Critically, this can be used to present targets optimized to be perceived by one subject only, to the detriment of all other subjects, creating a sort of "Neuro-Encryption" system
Books on the topic "Perceptual cycle"
PerceptionAction Cycle Springer Series in Cognitive and Neural Systems. Springer, 2011.
Find full textBook chapters on the topic "Perceptual cycle"
Tsotsos, John K., and Albert L. Rothenstein. "The Role of Attention in Shaping Visual Perceptual Processes." In Perception-Action Cycle, 5–21. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-1452-1_1.
Full text"Team Perceptual Cycle Processes." In Distributed Cognition and Reality, 133–54. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315577647-9.
Full textGell, Alfred. "The Temporal-perceptual Cycle." In The Anthropology of Time, 229–41. Routledge, 2021. http://dx.doi.org/10.4324/9781003135180-26.
Full text"Development of a Perceptual Cycle Classification Scheme." In Distributed Cognition and Reality, 93–114. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315577647-7.
Full text"Schema World Action Research Method for Understanding Perceptual Cycle Processes." In Distributed Cognition and Reality, 115–32. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315577647-8.
Full textPasquer, L., É. Anquetil, and G. Lorette. "COHERENT KNOWLEDGE SOURCE INTEGRATION THROUGH PERCEPTUAL CYCLE FRAMEWORK FOR HANDWRITING RECOGNITION." In Series in Machine Perception and Artificial Intelligence, 59–68. WORLD SCIENTIFIC, 1999. http://dx.doi.org/10.1142/9789812797650_0006.
Full text"Case Study of the Kegworth Plane Crash: Understanding Local Rationality with the Perceptual Cycle Model." In Distributed Cognition and Reality, 27–46. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315577647-4.
Full text"Examining the Validity of Neisser’s Perceptual Cycle Model with Accounts from Critical Decision-Making in the Cockpit." In Distributed Cognition and Reality, 73–92. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315577647-6.
Full text"A Pilot Study: Using the Perceptual Cycle Model and Critical Decision Method to Understand Decision-Making Processes in the Cockpit." In Distributed Cognition and Reality, 47–72. Taylor & Francis Group, 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742: CRC Press, 2016. http://dx.doi.org/10.1201/9781315577647-5.
Full textGrossberg, Stephen. "Learning to Attend, Recognize, and Predict the World." In Conscious Mind, Resonant Brain, 184–249. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190070557.003.0005.
Full textConference papers on the topic "Perceptual cycle"
Plant, Katherine L., and Neville A. Stanton. "Refining the perceptual cycle model to explore aeronautical decision making." In the International Conference. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2669592.2669692.
Full textMasuta, Hiroyuki, and Naoyuki Kubota. "Perceptual system for clearing the table based on the perceiving-acting cycle." In 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE, 2009. http://dx.doi.org/10.1109/fuzzy.2009.5277210.
Full textHwang, Jieon, Chushi Yu, and Yoan Shin. "SAR-to-Optical Image Translation Using SSIM and Perceptual Loss Based Cycle-Consistent GAN." In 2020 International Conference on Information and Communication Technology Convergence (ICTC). IEEE, 2020. http://dx.doi.org/10.1109/ictc49870.2020.9289381.
Full textRen, Yonghui, Murong Jiang, Zexin Fu, and Lei Yang. "Reconstruction of Single-Frame Solar Speckle Image with Cycle Consistency Loss and Perceptual Loss." In 2019 6th International Conference on Information Science and Control Engineering (ICISCE). IEEE, 2019. http://dx.doi.org/10.1109/icisce48695.2019.00094.
Full textEl-Sayed, Mohamed E. M. "The Role of Conceptualization and Design in Product Realization." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48676.
Full textJensen, Dennis, Josuel Ora, Katherine A. Webb, and Denis E. O'Donnell. "Effects Of Dead Space Loading On The Ventilatory And Perceptual Response To Incremental Cycle Exercise In Healthy Elderly (60-80 Yr) Men And Women." In American Thoracic Society 2010 International Conference, May 14-19, 2010 • New Orleans. American Thoracic Society, 2010. http://dx.doi.org/10.1164/ajrccm-conference.2010.181.1_meetingabstracts.a5318.
Full textJ. Gackowski, Zbigniew. "Case and Real-Life Problem-Based Experiential Learning with Information System Projects." In 2003 Informing Science + IT Education Conference. Informing Science Institute, 2003. http://dx.doi.org/10.28945/2617.
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