Optimizing cortical interneuron circuits for flexible integration of information streams (A08)

• Subject Area: Experimental and Theoretical Network Neuroscience
• Term: since 2024
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 514483642

The main goal of this project is to investigate how different interneuron types and the circuits they form support a flexible integration of different sources of information. To address this question, we will combine computational circuit modelling with machine learning-based optimisation. We will also collaborate with researchers in the CRC, to investigate interactions of different information streams in high-dimensional neural data.

• DFG Programme: CRC/Transregios
• Subproject of: TRR 384: Inhibitory neurons: shaping the cortical code (IN-CODE)
• Applicant Institution: Albert-Ludwigs-Universität Freiburg
• Project Head: Professor Dr. Henning Sprekeler