Pol Bech

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 maps long-range axonal projections of genetically defined neuron classes in mouse somatosensory cortices using light-sheet imaging and identifies distinct innervation patterns.

This study demonstrates that ramping dopamine signals correspond to reward prediction errors rather than state values, unifying rapid phasic and slow ramping signals as derivative-like computations.