Neuroscience of Consciousness (993C8)
Neuroscience of Consciousness
Module 993C8
Module details for 2023/24.
15 credits
FHEQ Level 7 (Masters)
Module Outline
Consciousness is one of the last remaining frontiers of scientific exploration, and theories and methods in neuroscience are at the front line of this endeavour. Topics covered in this module include: measuring and studying consciousness; states of consciousness (including wake, dreaming, hypnosis and vegetative state); visual consciousness (including the different roles of visual cortex and fronto-parietal network; blindsight and neglect as disorders of visual awareness); implicit learning and meta-knowledge; psychiatric disturbances of consciousness (e.g. hallucinations, depersonalisation); interoceptive awareness; consciousness and cortical plasticity (examples of synaesthesia, phantom limb and sensory substitution); computational models of consciousness; biological models of consciousness; and evolutionary approaches to consciousness.
Module learning outcomes
evaluate the pros and cons of the main approaches in consciousness studies (e.g. philosophical, psychological, neuroscientific)
describe how methods of neuroscience can be used to study conscious experience
discuss the main neuroscientific theories in consciousness science
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 20.00% | |
| Coursework components. Weighted as shown below. | ||
| Essay | T2 Week 7 | 100.00% |
| Essay (3000 words) | Semester 2 Assessment Week 3 Tue 16:00 | 80.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Spring Semester | Lecture | 2 hours | 11111011111 |
| Spring Semester | Seminar | 1 hour | 11111011111 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr Warrick Roseboom
Assess convenor, Convenor
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