Stefano Zucca

The paper investigates how mice distinguish self-motion from object motion using virtual reality and neural recordings from the superior colliculus, finding that different layers of the superior colliculus encode these signals differently.

This study uses pupillometry and whole-brain c-Fos mapping to show that emotional contagion in mice involves shared neural activation and multisensory processing.

This study investigates how mouse auditory cortex neurons encode ultrasound vocalizations from P12 to P21, finding early tuning to USV syllables and distinct neuronal clusters for different auditory stimuli.

NIT is an open-source toolbox for information-theoretic analysis of neural data, including calcium imaging, offering tools for encoding quantification, information transmission, and partial information decompositions.

The paper develops a method to classify network states from local field potentials in awake mice, showing that population signals predict single-cell activity across different network states.

BonVision provides an open-source tool for creating and controlling visual environments, enabling closed-loop experiments with real-time interaction and hardware integration.

This paper demonstrates how spiking neuron networks with moderate recurrent interactions generate a spectrum of non-rhythmic waking states in the neocortex, showing how different states encode presynaptic activity or afferent input strength.