Perception, Attention and Memory Group
Unit(s) of assessment: Psychology, Psychiatry and Neuroscience
Research theme: Health and Wellbeing
School: School of Social Sciences
Our work on perception and attention includes theoretical work exploring time perception, attentional capture and control, spatial and temporal aspects of attention and the influence of statistical learning and implicit learning on attention. In terms of phenomenon our work ranges from relatively low level visual cognition (e.g. visual masking) to high level tasks (e.g. visual search in the real world). The majority of research focuses on either visual or auditory perception, as well as multisensory integration.
We welcome enquiries from applicants to the NTU studentship scheme who are interested in doing a PhD in the Perception, Attention and Memory Group. This link provides details of specific projects and topic areas, along with contact names and email addresses for potential supervisors. If you are interested in a particular project or topic, please contact one of us in the first instance for an informal discussion.
- Dr Indu Dubey
- Dr Georgina Gous
- Dr Victoria Kroll
- Dr Editha van Loon
- Chris Atkin
- Robert Davies
- Charlotte Holden
- Victoria Laxton
- Pancy Poon
- Jammy Stacey
- Petya Ventsislavova
- Julia Ayache
- Peter Goodwin
- Samantha Huffman
- Bangor University
- Bristol University
- City University
- Department of Research and Education in Emergency medicine Acute medicine and Major trauma (DREEAM) (Queens Medical Centre, Nottingham)
- Hebrew University of Jerusalem
- Hull University
- Oxford Brookes University
- Universita Bocconi
- Università della Svizzera italiana (Lugano University)
- University of Abertay
- University of Liverpool
- University of Nottingham
- University of Warwick
Egan, C., Cristino, F., Payne, J.S., Thierry, G. and Jones, M.W. (2020). How alliteration enhances conceptual–attentional interactions in reading. Cortex, 124, pp. 111-118.
Gilligan, T. M., Cristino, F., Bultitude, J. H., & Rafal, R. D. (2019). The effect of prism adaptation on state estimates of eye position in the orbit. Cortex, 115, 246–263.
Roberts, K. L., Doherty, N. J., Maylor, E. A., & Watson, D. G. (2019). Can auditory objects be subitized? Journal of Experimental Psychology: Human Perception and Performance, 45(1), 1–15.
Williams, E. H., Cristino, F., & Cross, E. S. (2019). Human body motion captures visual attention and elicits pupillary dilation. Cognition, 193, 104029.
Baker, J., Castro, A., Dunn, A. K., & Mitra, S. (2018). Asymmetric interference between cognitive task components and concurrent sensorimotor coordination. Journal of Neurophysiology. 120 (1), 330-342.
Gous, G., Dunn, A.K., Baguley, T., & Stacey, P. (2018). An exploration of the accentuation effect: Errors in memory for voice fundamental frequency (F0) and speech rate. Language, Cognition and Neuroscience, 33, 98-110.
Guest, D., Kent , C., & Adelman, J, S (2018). The relative importance of perceptual and memory sampling processes in determining the time course of absolute identification. Journal of Experimental Psychology: Learning, Memory, and Cognition, 44, 615-630.
Howard, C.J., Boulton, H., Brown, E., Arnold, C.P.A., Belmonte, M.K. & Mitra, S. (2018). Engagement of the motor system in position monitoring: reduced distractor suppression and effects of internal representation quality on motor kinematics. Experimental Brain Research, 236, 1445-1460.
Oliver, Z. J., Cristino, F., Roberts, M. V., Pegna, A. J., & Leek, E. C. (2018). Stereo viewing modulates three-dimensional shape processing during object recognition: A high-density ERP study. Journal of Experimental Psychology. Human Perception and Performance, 44, 518-534.
Howard, C.J., Arnold, C.P.A. & Belmonte, M.K. (2017). Slower resting alpha frequency is associated with superior localisation of moving targets. Brain and Cognition, 117, 97-107.
Laxton, V., & Crundall, D. (2017). The effect of lifeguard experience upon the detection of drowning victims in a realistic dynamic visual search task. Applied Cognitive Psychology, 32, 14-23.
Mackenzie, A.K. & Harris, J.M. (2017). A Link between attentional function, effective eye movements and driving ability. Journal of Experimental Psychology: Human Perception and Performance, 43, 381-394.
di Luca, M., & Rhodes, D. (2016). Optimal perceived timing: Integrating sensory information with dynamically updated expectations. Scientific Reports, 6:28563, doi: 10.1038/srep28563
Howard, C.J., Bashir, N., Chechlacz, M. and Humphreys, G.W., 2016. Neural mechanisms of temporal resolution of attention. Cerebral Cortex, 26, 2952-2969.
Rhodes, D., & di Luca, M. (2016). Temporal regularity of the environment drives time perception. PLoS ONE, 11(8): e0161677. https://doi.org/10.1371/journal.pone.0159842
Roberts, K.L., & Allen, H.A. (2016). Perception and cognition in the ageing brain: A brief review of the short- and long-term links between perceptual and cognitive decline. Frontiers in Aging Neuroscience, 8:39. doi: 10.3389/fnagi.2016.00039.
Smith, H. M. J., Dunn, A. K., Baguley, T., & Stacey, P. C. (2016). Concordant cues in faces and voices: Testing the back-up signal hypothesis. Evolutionary Psychology, 14(1), 1-10. doi: 10.1177/1474704916630317
Stacey, P.C., Kitterick, P.T., Morris, S.D., & Sumner, C.J. (2016). The contribution of visual information to the perception of speech in noise with and without informative temporal fine structure. Hearing Research, 336, 17-28.
Cristino, F., Davitt, L., Hayward, W.G., Leek, E.C. (2015). Stereo disparity facilities view generalization during shape recognition for solid multipart objects. Quarterly Journal of Experimental Psychology, 68, 2419-2436.
Guest, D., Howard, C. J., Brown, L. A., & Gleeson, H. (2015). Aging and the rate of visual information processing. Journal of Vision, 15(14):10, 1–25, doi:10.1167/15.14.10.
Roberts, K.L., Allen, H.A., Dent, K., & Humphreys, G.W. (2015). The neural correlates of segmenting a display into relevant and irrelevant three-dimensional regions. NeuroImage, 122, 298-305.
Hutchinson, C. V., Maltby, J., Badham, S. P., & Jason, L. A. (2014). Vision-related symptoms as a clinical feature of chronic fatigue syndrome/myalgic encephalomyelitis? Evidence from the DePaul Symptom Questionnaire. British Journal of Ophthalmology, 98, 144-145.
Stacey, P.C., Murphy, T., Sumner, C.J., Kitterick, P.T. & Roberts, K.L. (2014). Searching for a talking face: the effect of degrading the auditory signal. Journal of Experimental Psychology: Human Perception and Performance, 40, 2106-2111.
Badham, S. P., & Hutchinson, C. V. (2013). Characterising eye movement dysfunction in myalgic encephalomyelitis/chronic fatigue syndrome. Graefe's Archive for Clinical and Experimental Ophthalmology, 251, 2769-2776.
Hutchinson, C. V., & Badham, S. P. (2013). Patterns of abnormal visual attention in myalgic encephalomyelitis. Optometry and Vision Science, 90, 607-614.
- SMI RED 500 eye tracker
- SMI ETG Portable eye trackers x 2
- Sr Research EyeLink 1000 Eye tracker
- 360 HD video camera * 2
- HTC Vive VR headset within built in Tobii eye tracker
- MagStim Transcranial Magnetic Stimulation Lab with ANTneuro VisorXT neuronavigation
- Biosemi (2 x high-density) and Neuroscan Nuamps EEG acquisition and EEGLAB and Curry-based analysis suite
- Single-walled sound booth equipped for auditory psychophysics
- STI SIM Driving Simulator
- Carnetsoft driving simulator
- Honda Rider Trainer Motorcycle Simulator
- 4-sensor Codamotion motion capture and analysis suite