ÑÇÖÞÇéÉ«

School of Engineering and Informatics (for staff and students)

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

TypeTimingWeighting
Coursework20.00%
Coursework components. Weighted as shown below.
EssayT2 Week 7 100.00%
Essay (3000 words)Semester 2 Assessment Week 3 Tue 16:0080.00%
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.

TermMethodDurationWeek pattern
Spring SemesterLecture2 hours11111011111
Spring SemesterSeminar1 hour11111011111

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

Convenor, Assess convenor
/profiles/366083

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School of Engineering and Informatics (for staff and students)

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