Project Details
Projekt
Comparative Quantitative Image Acquisition, Analysis and Modeling
Subject Area
Developmental Neurobiology
Experimental and Theoretical Network Neuroscience
Experimental and Theoretical Network Neuroscience
Term
since 2022
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 453877723
Summary: The goal of RobustCircuit is to understand common principles underlying the requirements of imprecise processes at lower scales (from molecules to cells) to yield robust outcomes at higher scales (from cells to behavior) in neural circuit assembly. Live imaging is the principle means to obtain quantitative data on imprecise and robust processes at the levels of molecular, subcellular and cellular dynamics. Seven of the eight projects utilize intravital and ex vivo live imaging to obtain statistically powerful data on imprecisions, including noise, in subcellular dynamics. Based on such quantitative data, computational modeling allows one to make predictions for the roles imprecisions play in creating robust systems. The Z1 project is therefore designed to tackle two core challenges resulting from our collaborative project design:Challenge 1: Molecular, subcellular and cellular dynamics should be of the same data type and quality to be quantitatively comparable between projects. Solution: Objective 1 is devised to provide a common and standardized approach to 4D live imaging acquisition and comparative tracking method adaptations and analyses.Challenge 2: The manipulation of imprecise parameters without collateral effects is challenging in biological experiments. In contrast to the biological experiment, computational modeling allows to specifically modulate imprecise parameters and provide testable hypotheses for the generation of robust outcomes. Solution: Objective 2 is devised to provide modeling approaches that can be adapted from an established stochastic modeling framework previously tested by RobustCircuit PIs for the generation of robust synapse formation based on stochastic subcellular dynamics.
DFG Programme
Research Units
