Research
Biological neural networks come in many distinct architectures. If we could explain why neural circuits prefer some architectures over others to solve a task, we could better understand universal principles for adaptive behaviour.
Our approach is grounded in linking the functional architecture of neural circuits with behavior in the mouse. We combine the investigation of ethological goal-driven behaviors in unrestrained mice with more controlled head-fixed paradigms whenever possible. Our projects employ a comprehensive suite of cutting-edge neurotechnological methods for recording and manipulating neural activity during behavior, including super-high-density electrophysiology (e.g., Neuropixels 2.0), two-photon microscopy, one-photon miniscope, fiber photometry, optogenetics, intersectional viral tracing, and automated behavioral measurements (MoSeq). This multi-scale, multi-modal approach equips us to explore neuronal function and network dynamics across various temporal (i.e., millisecond-to-minutes) and spatial (i.e., neuron-to-networks) dimensions.
Our research extends beyond experimental efforts. We place significant emphasis on computational and theoretical modeling, which we achieve through dynamic collaborations with computational groups within IIT and at SISSA (Eugenio Piasini).
We also have ongoing collaborations with Alessandro Gozzi (investigating brain networks involved in olfactory working memory tasks using functional ultrasound), Giandomenico Iannetti (investigating egocentric value maps in posterior parietal cortex) and Bob Datta. This collaborative approach fosters a vibrant and diverse research environment, making it an ideal setting for those who enjoy and thrive in teamwork and interdisciplinary approaches.
Our current questions include:
How do motivational drives/hypothalamic signals sculpt neural dynamics and sensory-motor transformations in the midbrain?
How do cortico-striatal networks learn to organize action in space?
How does the main olfactory cortex process odor information?
