Neural Computational Modelling

Closing date: 1 August 2018

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 packages “Neuron” and “Nengo” 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.

Presenters:

Dr Levin Kuhlmann assisted by other computational neuroscientists.

Workshop format: 24 hours total contact

  • Comprised of intermingled lectures and tutorials during 4 x 8 hour days (includes 2 hours of breaks per day; 2 days for biophysical modelling with Neuron, 2 days for cognitive modelling with Nengo).

Proposed timeframe:

2 days per week (9.00am-5.00pm) for 2 weeks in September (days negotiable with class, and are subject to change)

Prerequisites:

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