Praktika
Singularity Detection and Mitigation in Analytic Integrators
In this project, you will extend ODE-toolbox to detect the potential occurrence of singularities in the generated propagator matrices, and mitigate this problem by computing a set of propagator matrices and the conditions under which each is valid. (A simple singularity detection is implemented since the latest version but could be improved.) An application programming interface (API) should be developed that supports returning the new data structures. Additional unit tests should be provided to demonstrate the correctness of the result.
Who can apply?
Master students in the fields of computer science, maths, or related fields.
Ort
Simulation Lab Neuroscience
Forschungszentrum Jülich
Kontakt
Charl Linssen
c.linssen@fz-juelich.de
Computational Systems Neuroscience
The department of Computational Systems Neuroscience welcomes undergrad students from the fields of Biology, Neuroscience, Computer Science, Physics, or Engineering to participate in their research. They are offering projects in computational and experimental neuroscience, including modeling studies, studies in animal behavior and in neurophysiology.
Required skills: depending on project
Ort
Universität Köln
Kontakt
Abteilungsleitung
Martin Nawrot
mnawrot@uni-koeln.de
Visual and olfactory systems
The Department of Sensory and Sensorimotor Systems is open for students for internships and theses in their labs.
Research foci are visual and olfactory functions in the human and animal brain and their elicited behavioral responses, and other related topics in brain science. Research methods include visual psychophysics, zebrafish behavior and neuroscience, computational modeling, data analysis, human event related potential measurements, fMRI and eye tracking.
Eligibility: depending on requirements of individual training program
Required skills: depending on project
Ort
Max-Planck-Institut für biologische Kybernetik Tübingen
Kontakt
Abteilungsleitung
Li Zhaoping
zhaoping.li.admin@tuebingen.mpg.de
Cognitive and neural mechanisms underlying learning and memory
The computational neuroscience group researches on the cognitive and neural mechanisms underlying learning and memory using computational methods. Topics for Bachelor/Master theses are available and the lab is open for collaborations, offering expertise on episodic memory, spatial navigation, hippocampus, neural networks, and reinforcement learning. The main language of communication is English.
Skills to be learned: reinforcement learning, neural networks, parallel computing
Required skills: programming
Ort
Ruhr-Universität Bochum
Kontakt
Gruppenleiter
Sen Cheng
sen.cheng@rub.de
High performance computing (HPC)
The Simulation and Data Lab Neuroscience offers students an insight into the world of High-Performance Computing (HPC) and how HPC can be efficiently used for neuroscience research, from modelling and simulation to data analysis and neuroimaging. Visiting students should have some programming skills, e.g. in C, C++ or Python, to be able to use their visit for a (first) project with HPC and/or data resources.
Skills to be learned: high-performance computing, data analysis, visualisation technology for neuroscience
Required skills: programming
Ort
Jülich Supercomputing Centre (JSC)
Kontakt
Wiss. Koordination
Maren Frings
slns@fz-juelich.de
Abschlussarbeiten
Directional information in hippocampal place cells populations
Hippocampal place cells not only decode the current position but also the running direction of an animal. The interconnectedness between those codes is less explored but of fundamental importance for the understanding of hippocampal function in navigation and memory processes. This project will apply and refine analysis tools for extracellularly recorded spiking data obtained during free foraging. Students will be exposed to classic methods and literature on hippocampal in-vivo physiology and state-of-the art machine learning methods.
Eligibility: Student must be enrolled at University of Freiburg
Required skills: Experience in Python and statistical methods
Background: Neurobiology
Ort
Bernstein Center Freiburg, Universität Freiburg
Kontakt
Bernstein Koordinationsstelle
bernstein.network@fz-juelich.de
Modeling in neurophysiology and optogenetics
Depending on background and interest: Modeling single neurons and neuronal networks in the thalamocortical system (simple and biophysical models); analysis of single neuron and network encoding of sensory/behavioral stimuli and interactions between neurons (data from large-scale silicon probe in vivo experiments with targeted optogenetic interventions); information theoretic analysis of neural data; identification of neuronal ensembles.
Student background: physics, applied mathematics, computer science, data science
Required skills: depending on project: linear algebra, differential equations, data visualization, Python
Ort
Universität Heidelberg, Institut für Physiologie und Pathophysiologie
Kontakt
Bernstein Koordinationsstelle
bernstein.network@fz-juelich.de
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