Carl C.H. Petersen

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.

The paper develops a biologically informed recurrent neural network to predict optogenetic perturbations in cortical circuits, showing improved performance over generic models.

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 identifies neural mechanisms for uninstructed orofacial movements during reward-based learning in mice, showing distinct roles of dopamine and motor cortex circuits.

The paper examines membrane potential dynamics of excitatory and inhibitory neurons in mouse barrel cortex during different behavioral states, revealing distinct activity patterns based on neuron type and cortical depth.

The paper examines changes in excitatory and inhibitory neuron activity in mouse motor cortices before and after learning a whisker detection task, finding opposing changes in some areas and similar changes in others.

This study identifies cortical regions involved in delayed sensory-triggered motor responses in mice using calcium imaging and electrophysiology.

The paper compares dendritic spine morphology preserved with cryo and chemical fixation, finding cryo fixation results in thinner spine necks and independent neck-head geometry.