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NEUR472 Special Topic

Paper title Special Topic
Paper code NEUR472
Subject Neuroscience
EFTS 0.0833
Points 20 points
Teaching period First Semester
Domestic Tuition Fees (NZD) $810.93
International Tuition Fees (NZD) $3,007.05

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Contact

This paper is available only in exceptional circumstances. Students must have the approval of their supervisor and the Director of the Neuroscience Programme before enrolling in this paper. Before enrolling in this paper please contact neuroscience@otago.ac.nz.

Teaching staff

The teaching staff vary.

Textbooks

To be advised.

Graduate Attributes Emphasised
Scholarship, Research, Self-motivation.
View more information about Otago's graduate attributes.
Learning Outcomes

To be advised.

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Timetable

First Semester

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
None

Modelling and simulation of biological neurons and neural circuits. Simulation as a problem-solving method. Using graphics, interactive simulations and digital media in scientific communication.

An introduction to computer modelling of neurons and nervous systems. Students will learn how to design and code different kinds of neuronal models, and how to use computer modelling to analyse neurons as information-processing and decision-making devices. We focus on mechanisms in real nervous systems, as distinct from the “neurons” of neural network theory and machine learning.

Paper title Special Topic: Computational Neural Modelling
Paper code NEUR472
Subject Neuroscience
EFTS 0.0833
Points 20 points
Teaching period First Semester
Domestic Tuition Fees Tuition Fees for 2020 have not yet been set
International Tuition Fees Tuition Fees for international students are elsewhere on this website.

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Prerequisite
54 300 level points from Science Schedule C. 18 points from 100-level MATH, COMO or COSC.
Eligibility

The course is intended for science majors, especially NEUR majors, with possibly limited programming experience. The formal requirement is to have passed at least one 100-level paper in computing or modelling. Additional background in mathematics, physics or coding will be advantageous.

Contact

Associate Professor Mike Paulin mike.paulin@otago.ac.nz

Teaching staff

Associate Professor Mike Paulin

Paper Structure

The paper is taught as a series of modules, covering biophysical models, dynamical systems models, information theory and statistical models. We will look at the roles of evolution, development and learning in the construction of nervous systems in animals including humans.

Teaching Arrangements

We will use the scientific programming language Julia, in the Atom IDE as well as in Jupyter computational notebooks, which are becoming a standard platform for Data Science.

Textbooks

Textbooks are not required for this paper. Readinga will be supplied.

Graduate Attributes Emphasised

Critical thinking, Information literacy, Scholarship, Research

View more information about Otago's graduate attributes.

Learning Outcomes

Students who successfully complete the paper will:

  • Understand current problems in neuroscience and the role of modelling and simulation in solving them.
  • Be able to write computer code to simulate biophysical, dynamical and statistical models of neurons and neural systems.
  • Be able to interpret and clearly explain results of neurobiological computer simulations.

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Timetable

First Semester

Location
Dunedin
Teaching method
This paper is taught On Campus
Learning management system
None

Lecture

Stream Days Times Weeks
Attend
A1 Tuesday 13:00-16:50 9-15, 17-22