431-336 Neurons:From Action Potential to Learn'g

431-202 Engineering Analysis B or equivalent and 421-286 Bioengineering Systems Modelling 2 or 431-221 Fundamentals of Signals and Systems and 431-325 Stochastic Signals and Systems.

On completion of this subject students should have a good understanding of the current models for neurons and their behaviour, and in particular how the notion of feedback is essential in understanding their behaviour.

First single neuron cells are considered, with a detailed study of how spikes are generated, based on the Hodgkin-Huxley model. Next we consider populations of neurons with emphasis on signal transmission and information encoding. We briefly touch on the existence of oscillatory behaviour as well as synchronisation. Finally, we cover learning in neural networks, or so called plastcity, based on the Hebbian model. The exposition will make formal connections with systems theory, classical system identification theory, information theory, signal processing and formal learning theory.

At the conclusion of this subject students should understand quantitatively the basic principals of neurological learning. Material will be reinforced through MATLAB based tutorials.

• ability to apply knowledge of basic science and engineering fundamentals ability to communicate effectively, not only with engineers but also with the community at large.

• ability to understake problem identification, formulation and solution.

• ability to utilise a systems approach to design and operational performance.

• ability to function effectively as an individual and in multi-disciplinary teams, with the capacity to be a leader or manager as well as an effective team leader.

• understanding of the social, cultural, global and environmental responsibilities of the professional engineer, and the need for sustainable development

• understanding of professional and ethical responsibilities and commitment to them

• capacity for independent critical thought, rational inquiry and self-directed learning

• profound respect for truth and intellectual integrity and for the ethics of scholarship

One written examination of three hours (60%), Matlab based laboratory work(40%).