Graduation / internship project: Large scale interactions in the cortico-hippocampal network
Research interest of your company / institute:
The group “Neuronal Networks of Memory” studies the dynamics of brain areas that are involved in memory processes, and their interactions during active and inactive behaviours (sleep) leading to memory encoding, consolidation and retrieval.
We develop and use the most advanced experimental tools to monitor brain activity in rodents, and apply a vast array of data analytical and theoretical techniques to make sense of these complex data.
Sleep is important for memory consolidation and complex interactions across brain areas are most likely crucial. In a series of experiments we have recorded some of the largest electrophysiological data sets available, simultaneously in multiple brain areas in rats. For example, in the hippocampus and prefrontal cortex during sleep after different behaviours as well as hippocampus, prefrontal cortex and parietal. In this project the student would analyse these data sets, especially with reespect to which perturbations can be seen in other brain areas before, during and after a specific sleep-oscillation (the sharp wave ripple), known to be important for memory consolidation processes. The analysis will pertain both how individual cells, neuronal ensembles, as well as how the summation signal (sleep oscillations) are affected and would involve spectral analysis and machine learning.
Supervisors: Francesco Battaglia, Lisa Genzel, Tim Schröder
Key skills student:
Prerequisites: proficiency in Python/Matlab programming, ability to write code independently, and to understand and adapt existing analysis code. Affinity and/or background in quantitative subjects (maths, physics, computer science) a plus.
Difficulty: medium (for a 3-months internship), medium/hard (for a more advanced thesis project)
Dr. Francesco P. Battaglia
Donders Centre for Neuroscience