Models in Computational Neuroscience (M.Sc.)

What it is about

You work for 6–8 weeks in the lab on a research-oriented project, where you acquire practical skills in data analysis and in constructing network models of neurobiology. In the end you can train and analyze experimental data sets, implement numerical network models and interpret their results, and work independently in the lab.

What you will be able to do

• Analyze neuroscience data from electrophysiology or calcium imaging
• Numerically build network models with excitatory and inhibitory neurons
• Incorporate synaptic plasticity rules into models for self-organization of connectivity
• Analyze network output in terms of activity and connectivity
• Interpret numerical results and derive experimental predictions
• Independent work in the laboratory

What the module consists of

• LaborprojektMain component: 6–8 weeks of research project with practical work on data and models
• Präsentationenregular progress updates and feedback within the research group
• Schriftlicher BerichtFinal documentation of the work (~10 pages) with analysis and discussion

Teaching method

• Hands-on work in the lab with supervision by PhD studentsto acquire practical skills in experiment, analysis and model building
• Provision of guides and example codeto assist in implementing simulations and analyses
• Literature workto research appropriate model parameters and scientific context
• Mathematical instruction (differential equations, dynamical systems)to be able to formulate and analyze models
• Weekly meetings and regular presentationsfor feedback and progress control