The interdisciplinary neuroscience research centre at Bournemouth University was founded in 2014 as a network embodying researchers in the fields of cognitive, social, systems and computational neuroscience, translational genetics and cognitive neuropsychology from the Faculty of Science and Technology, Health and Social Sciences and collaborating institutions.
Over the last few years Bournemouth University has recruited staff in the fields of cognitive and social psychology, cognitive neuroscience and systems and computational neuroscience. On top of this investment in people, BU has provided neuroscientific equipment including Electro-encephalography (EEG), Transcranial Direct Current Stimulation (tDCS) systems, eye trackers and translational generics labs; and a state-of-the-art Magnetic Resonance Imaging (MRI) scanner, co-funded by Bournemouth University and the Dorset LEP. Neuroscience is now represented strongly at Bournemouth University, and is becoming one of the major directions of BU research.
The research network is designed to provide innovative approaches for identifying the neural underpinnings of cognitive processing. To achieve this goal, we use a wide range of multidisciplinary approaches spanning from behavioural experiments, eye-tracking, EEG, fMRI, tDCS, genetics and in vivo electrophysiology to neurocomputational modelling. In addition, we further foster neuroscience research by developing graduate and post-graduate programs, holding symposiums and workshops, running seminars and by encouraging the application of neuroscientific methods to various research fields spanning across disciplines.
The Neuroscience research centre at Bournemouth University is comprised of and is supported by a series of research laboratories with expertise in cognitive psychology, social psychology, psycholinguistics, human electrophysiology, generics and neuroimaging. The research topics include visual attention and memory, social attention, way-finding processing, cognitive control, neurolinguistics, psychiatric genetics and computational neuroscience.
The use neuroimaging and neurophysiological recordings is a fundamental tool in neuroscience which enables us to understand the normal and altered flow of information in the brain. Neurocomputational approaches can establish causal links between processing levels ranging from neuronal activities to ensemble responses, and then to higher cognitive functions.
Towards this goal, our laboratories are equipped with a 64-channel EEG system, cutting-edge eye-tracking, translational genetics equipment, tDCS and an avant-garde Siemens 3T MRI Scanner. Furthermore, we have multiple collaborations with British and international institutions which provide access to MEG scanners, in-vivo multi-array cell recordings and optical recording systems.
- Neural mechanisms of navigation and wayfinding
- Cognitive and neural mechanisms underlying cognitive control
- Clinical Neuropsychology
- Human-Computer Interaction
- Computational Intelligence
- Translational Psychiatric Genetics
- Emotion and emotion regulation
- Autism spectrum conditions
- Social facets of cognition: interpersonal processes
- Computational Neuroscience
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- Yamin, H.G., Gazit, T., Tchemodanov, N., Raz, G., Jackont, G., Charles, F., Fried, I., Hendler, T. and Cavazza, M. (2017). Depth Electrode Neurofeedback with a Virtual Reality Interface. Brain-Computer Interfaces (BCI).
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- Bobak, A.K., Bennetts, R.J., Parris, B.A., Jansari, A. and Bate, S. (2016). An in-depth cognitive examination of individuals with superior face recognition skills. Cortex, 82, 48-62.
- Bobak, A.K., Parris, B.A., Gregory, N.J., Bennetts, R.J. and Bate, S. (2016). Eye-movement strategies in developmental prosopagnosia and “super” face recognition. Quarterly Journal of Experimental Psychology, 1-17.
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- Elisa, R.N., Balaguer-Ballester, E. and Parris, B.A. (2016). Inattention, Working Memory, and Goal Neglect in a Community Sample. Frontiers in psychology, 7, 1428.
- Gosling, A., Thoma, V., de Fockert, J.W. and Richardson-Klavehn, A. (2016). Event-related potential effects of object repetition depend on attention and part-whole configuration. Frontiers in Human Neuroscience, 10.
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- Thompson, S.B.N. (2016). Saliva cortisol and yawning as a predictor of neurological disease. International Journal of Medical, Health, Biomedical, Bioengineering & Pharmaceutical Engineering, 10(4): 184-187, 10 (4), 184-187.
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- Wang, R., Zeng, B. and Thompson, S.B.N. (2016). Auditory-visual perception of Mandarin lexical tones in AX same-different judgment task. International Speech Communication Association, 73-77.
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- Abutalebi, J., Guidi, L., Borsa, V., Canini, M., Della Rosa, P. A., Parris, B. A., and Weekes, B. S. (2015). Bilingualism provides a neural reserve for aging populations. Neuropsychologia, 69, 201-210.
- Bate, S., Bennetts, R., Parris, B. A., Binderman, M., Bussunt, A., and Udale, R. (2015). Oxytocin increases bias but not accuracy in line-up identification. Social, Cognitive and Affective Neuroscience 10 (7), 1010-1014.
- Bell, J., Manson, A., Edwards, M. and Meso, A.I. (2015). Numerosity and density judgments: Biases for area but not for volume. Journal of Vision, 15 (2).
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- Elisa, R.N. and Parris, B.A. (2015). The relationship between core symptoms of ADHD and the Cognitive Reflection Test in a non-clinical sample. Cognitive Neuropsychiatry. DOI: 10.1080/13546805.2015.1068687.
- Forder, L., He, X. and Franklin, A. (2015). Colour categories are reflected in sensory stages of colour perception when stimulus issues are resolved. Perception, 44, 116.
- Hasshim, N. and Parris, B.A. (2015). Asessing stimulus–stimulus (semantic) conflict in the Stroop task using saccadic two-to-one color response mapping and preresponse pupillary measures. Attention, Perception, and Psychophysics. DOI: 8/s13414-015-0971-9.
- Hodgson, T.L., Parris, B.A., Benattayallah, A. and Summers, I.R. (2015). Multi-modal representation of effector modality in frontal cortex during rule switching. Frontiers in Human Neuroscience. DOI: 10.3389/fnhum.2015.00486.
- Liu, M., He, X., Rotsthein, P. and Sui, J. (2015). Dynamically orienting your own face facilitates the automatic attraction of attention. Cognitive Neuroscience. DOI: 10.1080/17588928.2015.1044428.
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- O’Malley, M., Innes, A. and Wiener, J.M. (2015). Decreasing spatial disorientation in care-home settings: How psychology can guide the development of dementia friendly design guidelines. Dementia. DOI: 10.1177/1471301215591334.
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- Pincham, H.L., Wu, C., Killikelly, C., Vuillier, L. and Fearon, P. (2015). Social provocation modulates decision making and feedback processing during adolescence. The Journal of Developmental Cognitive Neuroscience, 15, 58-66.
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- Thompson, S.B.N. (2015). Retinoblastoma: how advancements in neurology and neuroscience can help. Journal of Neurology & Neuroscience, 6 (4; 50), 1-3.
- Thompson, S.B.N. (2015). Health psychology intervention – identifying early symptoms in neurological disorders. International Journal of Medical, Health, Biomedical, Bioengineering & Pharmaceutical Engineering, 9 (4), 351-355.
- Thompson, S.B.N. (2015). Saliva cortisol and yawning as a predictor of neurological disease. International Science Index, 3 (4), 23.
- Thompson, S.B.N. and Simonsen, M. (2015). Yawning as a new potential diagnostic marker for neurological diseases. Journal of Neurology & Neuroscience, 1-6.
- Thompson, S.B.N. (2015). Yawning and cortisol as a potential biomarker for early detection of multiple sclerosis. International Science Index, 2 (5), 22.
- Vuillier, L., Hermens, D., Chitty, K., Wang, C., Kaur, M., Ward, P., Degrabriele, R., Hickie, I. and Lagopoulos, J.(2015). Emotional Processing, P50 Sensory Gating and Social Functioning in Bipolar Disorder. Clinical EEG and Neuroscience, 46 (2), 81-87.
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- He, X., Sebanz, N., Sui, J. and Humphreys, G.W. (2014). Individualism-collectivism and interpersonal memory guidance of attention. Journal of Experimental Social Psychology, 54, 102-114.
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- Herron, K., Dijk, D.-J., Dean, P., Seiss, E. and Sterr, A. (2014). Quantitative electroencephalography and behavioural correlates of daytime sleepiness in chronic stroke. BioMed Research International. DOI: 10.1155/2014/794086.
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- Meso, A.I, Simoncini, C. (2014) Towards an understanding of the roles of visual areas MT and MST in computing speed. Frontiers in Computational Neuroscience. 8:92.
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- Rankin, J. Meso, A.I, Masson, G.S, Faugeras, O. and Kornprobst, P (2014). Bifurcation study of a neural field competition model with an application to perceptual switching in motion integration. Journal of Computational Neuroscience. 36(2): p193-213.
- Seiss, E., Klippel, M., Hope, C., Boy, F. and Sumner, P. (2014). The relationship between reversed masked priming and the tri-phasic pattern of the lateralised readiness potential. PLoS ONE, 9 (4).
- Thompson, S.B.N. (2014). This will make you yawn. New Scientist, 224 (3000/3001), 38-39.
- Thompson, S.B.N. (2014). Yawning, fatigue and cortisol: expanding the Thompson Cortisol Hypothesis. Medical Hypotheses, 83 (4), 494-496.
- Wolbers, T. and Wiener, J.M. (2014). Challenges for identifying the neural mechanisms that support spatial navigation: the impact of spatial scale. Front. Hum. Neurosci. 8:571. doi: 10.3389/fnhum.2014.00571
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Study at BU
- Prof Ahmed Khattab
- Dr Ala Yankouskaya
- Dr Andrew Johnson
- Dr Benjamin Parris
- Prof Changhong Liu
- Dr Ellen Seiss
- Elliot Roch
- Dr Emili Balaguer-Ballester
- Dr Fred Charles
- Dr Gizem Arabaci
- Prof Hana Burianova
- Dr Hongchuan Yu
- Prof Jan Wiener
- Dr Janice Attard-Johnson
- Ms Jastine Antolin
- Prof Jonathan Cole
- Prof Kevin McGhee
- Dr Laura Renshaw-Vuillier
- Dr Marina Kilintari
- Dr Matt Green
- Dr Natalie Mestry
- Dr Otto Loberg
- Dr Peter Arabaci Hills
- Dr Rachel Moseley
- Dr Shahin Rostami
- Dr Shanti Shanker
- Prof Sue Denham
- Dr Theodoros Kostoulas
- Dr Theophilus Akudjedu
- Dr Tim Slattery
- Dr Xun He