Our laboratory investigates the interface between cognitive flexibility and motor control in rodents, with a particular focus on how distributed brain circuits construct internal models of their environment and use these models to solve complex tasks. We are further interested in how such model-based capabilities generalize across behavioral contexts, including transfer to novel tasks and home-cage behavior. To address these questions, we employ a suite of sophisticated behavioral paradigms encompassing rule and context learning, decision-making, sequence detection, reversal learning, sensory detection, movement preparation, and multi-target reaching.

These behavioral assays are paired with high-resolution neural measurements, including electrophysiology and both one-photon and two-photon imaging. To establish causal links between specific neural populations, behavioral performance, and network dynamics, we deploy optogenetic and chemogenetic techniques, including pathway- and cell type–specific stimulation, holographic stimulation, and DREADD-based manipulations. Our in vivo work is complemented by ex vivo approaches that enable detailed analyses of cellular mechanisms and circuit interactions. As part of the interdisciplinary BrainLinks-BrainTools // IMBIT center, we also contribute to the development of next-generation neurotechnologies and advanced analytical methodologies, including AI-driven tools, in close collaboration with our colleagues across the center.