Axel Bisi

CICADA provides a unified framework for analyzing neurophysiological data in the NWB format, supporting both GUI-driven and programmatic workflows with modular analysis plugins.

This study shows that reward-based learning rapidly reorganizes sensory cortical representations within minutes through spontaneous reactivation events.

This study identifies the retrosplenial cortex's role in context-dependent sensorimotor transformation through behavioral tasks and optogenetic inactivation in mice.

The paper uses task-driven neural networks to predict neural activity in proprioceptive pathways during reaching tasks, finding that task-optimized models outperform other models.