MMB8019 : Sensory Systems
- Offered for Year: 2019/20
- Module Leader(s): Professor Evelyne Sernagor
- Lecturer: Professor Marcus Kaiser, Professor Stuart Baker, Professor Andrew Blamire, Professor Alexander Thiele, Dr Patrick Degenaar, Professor Adrian Rees, Dr Michael Firbank, Dr Nicola Simcock, Dr Gabriele Jordan, Professor Tim Griffiths, Professor Anya Hurlbert
- Owning School: FMS Graduate School
- Teaching Location: Newcastle City Campus
|Semester 1 Credit Value:||20|
The module aims are:
1. introduce the principles and practice of modern methods (primarily neurophysiology, imaging, and computational techniques) for investigating sensory systems (vision, audition and somatosensation).
2. explore sensory physiology at an advanced level from single neuron function to complex neuronal networks in the visual, auditory and somatosensory systems.
3. gain an understanding of how basic experimental studies and clinical investigations reveal the neuronal mechanisms underlying function of sensory systems in health and disease.
4. acquire basic knowledge in neural implant devices to regain lost senses.
5. gain specific knowledge on:
• neuronal signalling mechanisms
• cellular neurophysiology
• invasive and non-invasive techniques for studying the nervous system in humans and experimental animals
• computational approaches for interpreting neural network function
• gross sensory neuroanatomy (in primates and simpler animals)
• development of neural function and structure
• genetics and neuroanatomy of specific sensory disorders and their relationship to normal brain function
• multisensory integration
• functional links between sensory systems, and disorders thereof
• higher brain functions that build on sensory function, such as visual memory and attention, reading, music perception.
6. learn how to acquire scientific knowledge through independent reading, deductive and inductive reasoning.
Outline Of Syllabus
The module will introduce the principles and practice of modern methods (primarily neurophysiological, neuroimaging, and computational techniques) for investigating sensory systems including the visual, auditory and somatosensory systems, chemical senses through a series of lectures;
Lecture topic will include:
1. Introduction to Sensory Systems research
2. Essential neuroanatomy
3. Essential cellular neurophysiology
4. Neuroimaging techniques
5. Retinal structure and function
6. Visual system development
7. Colour vision (retinal processing, genetic disorders, central processing)
8. Visual cortical function (modularity, cognitive aspects, visual attention)
9. Neural prosthetics for the restoration of sight
10. Somatosensation (touch, pressure, vibration, pain, temperature, position and movement)
11. The auditory pathway
12. Auditory neurophysiology and neuropharmacology
13. Cortical basis and disorders of human auditory cognition
14. Multisensory integration
15. Computational approaches to understanding neuroanatomical networks and behaviour
|Guided Independent Study||Assessment preparation and completion||1||2:00||2:00||MCQ|
|Guided Independent Study||Assessment preparation and completion||1||40:00||40:00||Preparation of Presentation and Presentation|
|Guided Independent Study||Assessment preparation and completion||1||50:00||50:00||Revision for Examinations|
|Scheduled Learning And Teaching Activities||Lecture||24||1:00||24:00||Lectures|
|Scheduled Learning And Teaching Activities||Practical||1||3:00||3:00||Practical|
|Scheduled Learning And Teaching Activities||Practical||2||2:00||4:00||Practicals including MCQ|
|Guided Independent Study||Reflective learning activity||1||19:00||19:00||Additional Reading and Reflective Learning|
|Guided Independent Study||Independent study||1||8:00||8:00||Additional Reading & Reflective learning|
|Guided Independent Study||Independent study||1||50:00||50:00||Preparation of Notes from Lectures & Reading|
Teaching Rationale And Relationship
Practicals will include:
1. Fundamental neuroanatomy - Gross anatomy of the human brain. Cellular staining techniques. Comparative neuroanatomy.
2. Spike train analysis – to analyse and quantify spiking activity in neural networks.
Students will also prepare 10-minute powerpoint presentations on in-depth topics related to the lectures, preferably based on one or more recent journal articles. Presentations will be assessed on content, organisation, style, and visual clarity.
To help consolidate factual information learned throughout the course, students will have a multiple-choice-question exam during the last session of the module. The MCQ exam mark will contribute 20% to the final mark. Only lecture material will be covered in the MCQ exam.
The format of resits will be determined by the Board of Examiners
|Written Examination||60||1||A||60||One question to be answered from three|
|Prof skill assessmnt||1||M||20||Oral presentation|
Assessment Rationale And Relationship