Note: This is an archived Handbook entry from 2010.
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2010:Semester 1, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here.
|Time Commitment:||Contact Hours: 36 hours; Non contact time commitment 84 Hours |
Total Time Commitment: 120 hours
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:|| 431-693 Advanced Neural Information Processing |
431-336 Neurons: From Action Potential to Learn'g
480-642 Neural Information Processing
|Core Participation Requirements:||For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Students Experiencing Academic Disadvantage Policy, academic requirements for this subject are articulated in the Subject Description, Subject Objectives, Generic Skills and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the disability support scheme can be found at the Disability Liaison Unit website: http://www.services.unimelb.edu.au/disability/ |
CoordinatorProf Anthony Burkitt
ContactMelbourne School of Engineering Office
Building 173, Grattan Street
The University of Melbourne
VIC 3010 Australia
General telephone enquiries
+ 61 3 8344 6703
+ 61 3 8344 6507
+ 61 3 9349 2182
+ 61 3 8344 7707
|Subject Overview:||This subject introduces students to the basic mechanisms of information processing in the brain and nervous system, as well as both neural prostheses (that interface the neural system with therapeutic electrical devices) and artificial systems based upon the principles of neural processing (neuromorphic engineering). Topics covered include: neural properties underlying information processing in neurons, generation and propagation of action potentials (spikes), Hodgkin-Huxley equations, coding and transmission of neural information, simplified neural models, synaptic plasticity and learning in biological neural systems, learning in artificial neural systems, measurement of biological neuralsignals, neural prostheses, neuromorphic engineering.|
On successful completion, students should be able to:
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
Master of Biomedical Engineering |
Postgraduate Certificate in Engineering
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