ÅÝܽ¶ÌÊÓƵ

School of Engineering and Informatics (for staff and students)

Neural Circuits (C1098)

Note to prospective students: this content is drawn from our database of current courses and modules. The detail does vary from year to year as our courses are constantly under review and continuously improving, but this information should give you a real flavour of what it is like to study at Sussex.

We’re currently reviewing teaching and assessment of our modules in light of the COVID-19 situation. We’ll publish the latest information as soon as possible.

Neural Circuits

Module C1098

Module details for 2024/25.

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.

TypeTimingWeighting
Coursework30.00%
Coursework components. Weighted as shown below.
EssayT2 Week 9 100.00%
Computer Based ExamSemester 2 Assessment70.00%
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 SemesterClass1 hour00001001000
Spring SemesterLecture1 hour22222222221
Spring SemesterWorkshop1 hour00000000001

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

Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.

The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.

School of Engineering and Informatics (for staff and students)

School Office:
School of Engineering and Informatics, ÅÝܽ¶ÌÊÓƵ, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ
ei@sussex.ac.uk
T 01273 (67) 8195

School Office opening hours: School Office open Monday – Friday 09:00-15:00, phone lines open Monday-Friday 09:00-17:00
School Office location [PDF 1.74MB]