SLM with temporal focusing for holography-based optogenetics
All optical interrogation of cortical circuits (GCaMP7s - ChrimsonR)
Fully automated mouse training setups
Confocal imaging
In the Laboratory for Neural Circuits and Behavior we study the neural substrate of visual processing and vision-based decision making. To this end, we aim to define a research framework capable of linking neural architectures to the underlying computations. Our solution is to integrate experimental methods for all-optical dissection of neuronal circuits with large-scale dynamical network models based on artificial neural networks (aNNs). Computations in biological networks arise from connectivity principles among neurons, much like artificial neural networks perform computations. Thus aNNs represent an effective modeling framework for the unification of computational, algorithmic, and implementation levels of analysis.