About the Project
Within the field of perception, several theories consider the brain to be a probabilistic machine that is constantly trying to more accurately predict its sensory input. In this way, the perceptual experience is thought to be shaped both by the sensory input itself, and the individual’s expectations about what that input is most likely to be. These so-called prediction error minimisation models of perception provide compelling explanations of a range of perceptual phenomena and associated neural data. While some consider that subjective experience emerges late in the neural processing pipeline after the probabilistic mechanisms have run their course, this early/late pre-conscious/conscious distinction is not consistent with all available data, including work by the proposed PhD supervisors. Consequently, the relationship between predictive neural mechanisms and subjective experience remains a key target for study.
Within the field of self-awareness, similar predictive processing models have also been proposed, which frame the subjective experience of presence and emotion as the result of the brain attempting to accurately predict the activity of the body’s internal organs. In this sense, the ‘what it is like’ of experience may be reflected in the brain’s evaluation of the body’s response to sensory input. For example, some evidence links processing of consciously perceived events with accelerations in heart-rate.
The objective of the PhD project is to characterise the concurrent neural and physiological events that accompany subjective experience in healthy individuals, and thereby begin to delineate the “what it is like” of consciousness. To this end, the student will develop cognitive paradigms to isolate specific forms of subjective experience. For example, the experience of comprehending a piece of speech or of feeling your heartbeat. The student will apply state-of-the-art methods of electrophysiology including event-related potentials, time-frequency analyses, and source reconstruction, alongside recordings of peripheral physiology including the electrocardiogram and respiratory rate to investigate the neural and physiological correlates of these experiences. Furthermore, the student will investigate their multimodal data in the context of existing and novel computational models of prediction error minimisation.
Further details: https://warwick.ac.uk/fac/cross_fac/mibtp/pgstudy/phd_opportunities/ and https://www.birmingham.ac.uk/research/activity/mibtp/index.aspx
***IMPORTANT***: Please read the eligibility criteria: https://warwick.ac.uk/fac/cross_fac/mibtp/pgstudy/phd_opportunities/application/
***IMPORTANT*** Prior to submitting a PhD application to the University of Birmingham, all interested candidates should first contact Dr Cruse at [Email Address Removed] who can then provide guidance on whether to complete the full PhD application. Candidates should include a personal statement and CV in that initial email.
Deadline: 12th January 2020
Raimondo, F., et al. (2017). Brain-heart interactions reveal consciousness in non-communicating patients. Annals of Neurology, 88(4), 578-591. https://doi.org/10.1002/ana.25045
Shirazibeheshti, A., et al. (2018). Placing meta-stable states of consciousness within the predictive coding hierarchy: The deceleration of the accelerated prediction error. Consciousness and Cognition, 63, 123-142. https://doi.org/10.1016/j.concog.2018.06.010
Wacongne, C., Changeux, J. P., & Dehaene, S. (2012). A Neuronal Model of Predictive Coding Accounting for the Mismatch Negativity. Journal of Neuroscience, 32(11), 3665-3678. https://doi.org/10.1523/JNEUROSCI.5003-11.2012
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