Neural Circuits (C1098)
Neural Circuits
Module C1098
Module details for 2023/24.
15 credits
FHEQ Level 5
Module Outline
This module provides comprehensive knowledge on neural circuit mechanisms generating types of behaviour that can be understood in terms of underlying neural circuits or structures with well-known neural architectures within the brain. Circuit plasticity linked to learning and development is a major module theme. Circuit dysfunction leads to serious disabilities and disease; the importance of the proper functioning of neural circuits is discussed. The module also discusses computational modelling approaches used to analyse and predict circuit outputs, and ways of artificially interacting with neural networks. Students will develop skills in analysing information from scientific resources, and writing with scientific rigour.
Module learning outcomes
Describe and evaluate the well-established principles of how simple and complex neural circuits operate, and the way in which those principles have developed and can be modified to give the brain flexibility.
Apply concepts and principles underlying cellular and circuit function to an understanding of behaviour.
Apply an understanding of a range of established techniques and the analysis of experimental data within neurophysiology, in order to evaluate published research.
Effectively communicate information informed by primary literature, writing with scientific rigor and developing logical arguments.
| Type | Timing | Weighting |
|---|---|---|
| Computer Based Exam | Semester 2 Assessment | 70.00% |
| Coursework | 30.00% | |
| Coursework components. Weighted as shown below. | ||
| Essay | T2 Week 9 | 100.00% |
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 | Class | 1 hour | 00001001000 |
| Spring Semester | Lecture | 1 hour | 22222222221 |
| Spring Semester | Workshop | 1 hour | 00000000001 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Prof George Kemenes
Convenor, Assess convenor
/profiles/1469
Prof Ildiko Kemenes
Assess convenor
/profiles/26997
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