Dissecting origins of wiring specificity in dense cortical connectomes
We dissect the origins of wiring specificity in dense cortical connectomes, revealing how geometric and biological constraints shape synaptic connectivity patterns.
Neuroscience
Simulation-based inference for efficient identification of generative models in connectomics
We demonstrate how simulation-based inference can efficiently identify synaptic connectivity rules in dense cortical connectomes, enabling analysis of complex brain circuit organization.
Simulation-Based Inference for Computational Neuroscience
Invited presentation at the Bernstein Center for Computational Neuroscience Berlin on using SBI methods for parameter inference in models of neural circuits and behavior.
Flexible and efficient simulation-based inference for models of decision-making
We propose a new method to perform simulation-based inference for mixed data e.g., with continuous and discrete data types, like they often occur in models of decision-making.