Primary neurons, stem cells, cell sorting, organotypic slices... | |
Preparation and cultivation of primary neurons from hippocampus, cortex, and spinal cord | | |
Preparation and culture of primary neurons | | |
Isolation and in vitro culture of neural stem cells | | |
Basic characterization of neural derivatives from iPSCs to 2D and 3D cultures: This course will offer a lecture of the different stages of cell differentiation, basic immunostaining of 2D cultures, a look at 3D cultures and their composition, embedding procedures, etc. There will also be an overview of the principles of the analysis of single-cell data (RNAseq). The course will take approximately 3 days. | | |
The secrets of human glioma stem cell cultivation | | |
Flow cytometry - from basics to applications | | |
| | |
Preparation of organotypic hippocampal slice cultures | | |
| |
Cell infection, transfection, transgenesis | |
Design of rAAV vectors and demonstration of intracranial injections | | |
Viral methods in neuroendocrinology and neuroscience | | |
Viral gene transfer and stereotaxic delivery into the rodent brain, 3D immunohistochemistry, microscopy and analysis | | |
In utero electroporation, in vitro neurovascular assay, immunohistochemistry analysis | | |
Drosophila molecular and classical genetics | | |
| |
Electrophysiology | |
| | |
Electrophysiology – Intracellular current clamp recordings in Drosophila | | |
In vitro and in vivo electrophysiological recording in the hippocampus | | |
Paired recordings from connected neurons in brain slices | | |
Whole-cell patch-clamp recordings | | |
Whole-cell patch-clamp recordings in brain slices using infrared video microscopy | | |
Electrophysiological analysis of synaptic function and small oscillating networks. Methods: Patch clamp, intracellular recording, extracellular recording, tetrodes, in vivo recording, advanced data analysis. | | |
Electrophysiology: gamma oscillations in slice cultures | | |
Extracellular recordings in behaving animals | | |
Multi-electrode array (MEA) and whole-cell patch-clamp recordings of human-induced pluripotent stem cell (hiPSC)-derived neurons | | |
| |
In situ hybridization | |
Non-radiocative in situ mRNA hybridisation | | |
| |
Imaging | |
Video-imaging of neuronal cultures | | |
Video-imaging of neuron cultures | | |
Functional Imaging – calcium and FM 1-43 | | |
Confocal laser scanning microscopy | | |
Confocal laser scanning microscopy | | |
Immunohistochemistry and confocal imaging | | |
In vivo two-photon imaging | | |
dSTORM superresolution microscopy | | |
Transmission electron microscopy | | |
Transmission electron microscopy | | |
3D scanning electron microscopy | | |
| |
Behaviour | |
Automation of behavioral experiments for rodents | | |
Intravenous self-administration in rodents to model behaviors relevant to drug dependence in humans | | |
Methods in behavioural animal neuroscience | | |
Associative learning and memory | | |
| |
Other | |
Data analysis in neuroscience | | |
Neural data analysis practical (Prerequisite: BCCN-lecture) | | |
Transcranial magnetic stimulation in the assessment and modulation of human perception | | |
The art of the short communication | | |
Regenerative approaches for spinal cord injury | | |
Programming for neuroscientists: Participants will first learn what is known about the neurobiology of milk letdown. They will be exposed to data generated in our lab, which includes animal behavior data (video, audio) as well as electrophysiological data. The aim of the course will be to be able to independently analyze such complex datasets using scripts programmed in python. By the end of the course the participants will thereby have i) gathered basic knowledge about the neurobiology of maternal behavior, as well as ii) learned how to analyze complex biological datasets. The course does not require previous knowledge in programming. | | |
| | |
Neural systems computer simulation practical (Prerequisite: BCCN-lecture) | | |