Teaching and research presentation rubric,download free zuma rock game,boyfriend trivia quiz,makeup artist website template - PDF 2016

Published 06.02.2015 | Author : admin | Category : Very Irresistible For Men

The control of gene expression in neurons, the generation of cellular signals, transport processes through axons and dendrites, as well as the synaptic machinery for transmitter release: these are among the most important cellular phenomena under research in the IZN.
The visualization of cytosolic or nuclear calcium signaling, of the cytoskeletal organization and of interactions between individual proteins plays a central role. Neurons operate in networks, and the analysis of network function is a strong focus in the IZN. Several research groups focus on the analysis of neuronal networks in the central nervous system. Methods in these fields are often combinations of electrophysiology with imaging techniques and various methods of gene transfer. To understand how the performance of the brain emerges from the activity of its neuronal networks, it is necessary to formulate hypotheses and fit them to the recorded data.

Research methods in these fields are designed to extract information out of complex data sets like genomic or proteomic data. High-resolution microscopy of living cells and cell culture techniques features prominently in many labs, and core facilities for proteomics, siRNA screens and other high-throughput approaches aid the research. This kind of work encompasses a wide range of topics, which begins with the differentiation of neuronal stem cells, the contact between two neurons, and the ordered formation of an operating network. Thus, information flow in the entorhinal cortex and hippocampus, in the cerebral cortex, in the mesolimbic system, in thalamus and hypothalamus, the olfactory bulb, the cerebellum, the brain stem and the spinal cord are special topics of research. Viral gene transfer, optogenetics, and in vivo electrophysiology are used to examine the principles of information processing in brain networks. Data from functional experiments are fed into the mathematical models that describe brain functions and these models, in turn, provide ideas and predictions for further experiments.

In terms of brain function, this research is about memory formation, motivation, motor function, sensory function, and pain research. They utilize spontaneous and stimulus-induced activity patterns which originate from such networks, for example synchronized, rhythmic firing of the neurons in the network. For neuroscience, this dual approach to unravelling the mysteries of network function are particularly important and promising, as both experimental techniques and computational methods develop with amazing speed. This kind of theoretical analysis can lead to concepts on how the brain generates thought, emotion, coordinated movements and other vital functions.

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