<< back to the overview

Institute for Neuroscience and Medicine:

Computational and Systems Neuroscience (INM-6 / IAS-6)

FZ Jülich, Germany


Lab visit description:


Techniques to record neuronal data from single neurons and population of neurons are rapidly improving. Meanwhile, recordings are possible from hundreds of channels simultaneously while animals perform complex tasks. Thus also the analysis of such data becomes increasingly challenging. In addition, progress in simulation technology and computer hardware enable the simulation of full-scale models to interpret such data. The lab visit aims at providing deeper insights in state-of-the-art analysis or simulation approaches. The course is addressed to excellent master and PhD students and young researchers who are interested in learning advanced techniques in data analytics and simulation and in getting hands-on experience in computational neuroscience.

Experienced researchers will help the visitor to learn how to operate one of two complex software packages of the HBP efficiently and safely. Participants will analyse provided data on their own using the tool box Elephant or will learn how to carry out neuronal network simulation with NEST.


Scientific methods offered to participants:

  • Neuronal network simulations with NEST. NEST is a simulator for spiking neural network models that focuses on the dynamics, size and structure of neural systems rather than on the exact morphology of individual neurons. The student can also learn to extend the simulator according to need.
  • Analysis of electrophysiological data with Elephant. Elephant is an open-source Python library that provides tools for the analysis of neuronal activity data, such as spike trains, local field potentials and intracellular data. Elephant focuses on generic tools that characterize the coordinated dynamics of large neural populations and methods that analyse the relationship of data recorded on multiple scales of observation. The student can also learn to extend the toolbox to need.


Duration of lab visit 3 days
Costs covered by lab All material and computing time
Costs to be covered by participants Travel costs, accommodation
Required language skills English







Application details:

Application deadline: Rolling deadline with evaluation every 2 months

Please include the following information in your application:

  • short description of programming experience
  • CV
  • Letter of motivation


Applications are reviewed every 2 months and participants are selected according to qualification and success likelihood.


Application to be sent via email to:

Dr Maren Frings