| Joesch Krotki Maximilian |
| Email |
joesch neuro.mpg.de |
| Gender |
Male |
| Nationality |
Germany |
| Year of birth |
1980 |
| Department |
Systems and Computational Neuroscience |
| University |
Max Planck Institute of Neurobiology |
| Country (of work) |
Germany |
| Simulation Project Title |
A more realistic description of the Reichardt Model. |
| Type of model |
Compartmental model based network model |
| Description |
Drosophila genetics allow a specific neuronal dissection of its motion detection
circuitry, i.e. by the specific block of inhibitory neurons involved in motion processing. I
want to implement a correlation type motion detector based on realistic cellular components.
This model should be a working framework to predict the motion sensitive output while
genetically disrupting the system and should be extendable with more realistic parameters
since an experimental confirmation is now possible. |
| Why complementary |
I have developed a combined approach using genetic and physiological tools to dissect the
motion processing circuitry. This allows the identification of individual network components.
However, the complexity of the network interactions makes a computational approach
indispensable for the precise interpretation of the experimental data. In addition, a
computational model will generate precise predictions for the design of further neurogenetic
experiments. |
| Tutor |
Hermann Cuntz |