Neural Computational Modelling

Closing date: 30 August 2019

This workshop aims to introduce students to the mathematical approaches and computational tools used in computational modelling of neurons and neural systems.  Students will learn to use the simulation package “Neuron” while at the same time learning how to program with Python.  Approaches used to model individual neurons will include rate-based and integrate-and-fire models through to Hodgkin-Huxley models.  Applications to different aspects of neuroscience will be examined including modelling of the effects of different channels and morphologies on a neuron’s behaviour, and interactions of neurons in networks.  The use of spiking neurons to perform computation will also be explored.


Dr Levin Kuhlmann ( and Dr Matias Maturana.

Proposed Time-frame:

Two days (9.00am-5.00pm) in October.  Tentatively proposed as Tuesday 8 October and Wednesday 9 October.  However, days will be negotiable with students in class, and are subject to change.


Comprised of intermingled lectures and tutorials during 2 x 8 hour days (includes 1-2 hours of breaks per day; 1 day for biophysical modelling with Neuron).


First year university math would be helpful but not necessary.  Have your own laptop to run code and applications.  Uniwireless and eduroam will be accessible.

Maximum class size:


Application Process:

Students must complete this application form and submit it along with their CV to the following email address: