Learning inhibition for pattern separation (A06)

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

The dentate gyrus is thought to be crucially involved in pattern separation. Therefore, during continual learning, new patterns need to minimize their overlap to existing patterns. Here we explore synaptic plasticity at all connections of a circuit model of the DG-hilar loop including somatostatin positive and parvalbumin positive inhibitory interneurons as well as hilar mossy cells upon its capacity to learn such pattern separation. The outcomes are evaluated by comparison to experimental recordings from the consortium using neural manifold techniques.

• 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. Christian Leibold