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Field
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representations change across different brain states (awake, asleep, engaged) and track representational drift over extended time periods Analyse recorded animal behaviours throughout experimental trials and
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data to decode multisensory information Investigate how neural representations change across different brain states (awake, asleep, engaged) and track representational drift over extended time periods
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collaboration with Innospec, aims to investigate how different catalysts influence CNT growth, structure, and performance. Specifically, the study will compare different CNT catalysts, evaluating their impact on
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will be covered for the duration of the three-year award, which is £5,006 for the year 2025/26. Eligible international students will need to make up the difference in tuition fee funding (Band 3 £30,500
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context. The work will include, but is not limited to: investigating new mathematical formulations of the underlying physics; developing fast algorithms and numerical methods that leverage modern parallel
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, integrity-aware multi-domain navigation benchmark and associated algorithms, tested in realistic operational environments. The outputs will support standardisation efforts, accelerate cross-domain navigation
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fees at the Home rate (UK and EU applicants with pre-settled/settled status and meet the residency criteria). International applicants are welcome to apply but will be required to cover the difference
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fully fund those applicants who are eligible for home fees with relevant qualifications. International applicants (non-UK nationals) must be able to cover the difference between the Home and the
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different neurons in the neocortical circuit and use them for closed-loop brain stimulation. By examining how these spatiotemporal dynamics relate to behaviour, you will develop new brain decoding methods and
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" (Supervisor: Prof Timothy O'Leary) uses principles from systems neuroscience to develop reliable, low-power spiking neural networks and learning algorithms for implementation in a new generation of neuromorphic