BI3BC17-Brain Computer Interfaces

Module Provider: School of Biological Sciences
Number of credits: 10 [5 ECTS credits]
Level:6
Terms in which taught: Spring term module
Pre-requisites: BI1PR17 Programming
Non-modular pre-requisites:
Co-requisites:
Modules excluded:
Current from: 2019/0

Module Convenor: Dr Yoshikatsu Hayashi

Email: y.hayashi@reading.ac.uk

Type of module:

Summary module description:
The module aims at providing real experience of developing and performing Brain Computer Interfaces – decoding the motor intention and execution to control an external device.

Aims:
A Brain Computer Interface (BCI) opens up a communication channel to control external devices via detecting and decoding intention from brain activity. Brain activity can be measured as electric signals which are generated by firing of neuronal population. As a most well-known noninvasive method, Electroencephalography (EEG) is an electrophysiological method to record electrical activity of the brain.
The module aims at providing real experience of developing and performing Brain Computer Interfaces, decoding the motor intention and execution to control the external device. In the lab practical sessions, the highlight is represented by a Brain Wave Tetris competition on the last day; each student team competes against each other in a Tetris game with the motion of bricks directly controlled by their brain waves.
Practically speaking, we will develop advanced signal processing to decode the motor intention using the commercial headset, and translate the EEG signals into a series of control commands. Lectures will provide the fundamental knowledge with the focus on the spectrum analysis to decompose the oscillatory behaviour of neuronal populations across the cortical regions.
The rest of the module focuses on the overview of the technologies enabling direct brain-computer communication including the main components of the closed loop system and applications.

Assessable learning outcomes:
1. Functional and practical understanding of neuroscience
2. Training of procedure to perform EEG experiments
3. Advanced signal processing to decode the motor intention and execution
4. Knowledge of the state of art in BCI including its application

Additional outcomes:
The students will become familiar with the potential applications of BCI. They will also learn how to carry out experimental tests with BCI technology.

Outline content:
1. Introduction to Neurodynamics
2. Dynamics of Cognition
3. Analysis of multivariate point process data (spike trains) and continuous time series (EEG, LFP)
4. BCI technologies
5. BCI applications in neurorehabilitation

Brief description of teaching and learning methods:
The module comprises lectures (8 hours), practical sessions (12 hours) and a major coursework. The lectures introduce the basic concepts, methodologies and tools for BCI. During the practical sessions the students will carry out hands-on activities on BCI technologies and test cases. A final project allows the students to apply the concepts to a practical case.

Contact hours:
  Autumn Spring Summer
Lectures 8
Practicals classes and workshops 12
Guided independent study: 80
       
Total hours by term 100
       
Total hours for module 100

Summative Assessment Methods:
Method Percentage
Oral assessment and presentation 50
Practical skills assessment 50

Summative assessment- Examinations:

Summative assessment- Coursework and in-class tests:

Formative assessment methods:

Penalties for late submission:
The Module Convener will apply the following penalties for work submitted late:

  • where the piece of work is submitted after the original deadline (or any formally agreed extension to the deadline): 10% of the total marks available for that piece of work will be deducted from the mark for each working day[1] (or part thereof) following the deadline up to a total of five working days;
  • where the piece of work is submitted more than five working days after the original deadline (or any formally agreed extension to the deadline): a mark of zero will be recorded.

  • The University policy statement on penalties for late submission can be found at: http://www.reading.ac.uk/web/FILES/qualitysupport/penaltiesforlatesubmission.pdf
    You are strongly advised to ensure that coursework is submitted by the relevant deadline. You should note that it is advisable to submit work in an unfinished state rather than to fail to submit any work.

    Assessment requirements for a pass:
    40%

    Reassessment arrangements:
    Report only

    Additional Costs (specified where applicable):
    1) Required text books:
    2) Specialist equipment or materials:
    3) Specialist clothing, footwear or headgear:
    4) Printing and binding:
    5) Computers and devices with a particular specification:
    6) Travel, accommodation and subsistence:

    Last updated: 20 May 2019

    THE INFORMATION CONTAINED IN THIS MODULE DESCRIPTION DOES NOT FORM ANY PART OF A STUDENT'S CONTRACT.

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