1 citations · 2 across the 5 of their papers we have counts for
5 papers
Decoding Neuronal Ensembles from Spatially-Referenced Calcium Traces: A Bayesian Semiparametric Approach
Laura D'Angelo, Francesco Denti, Antonio Canale +1
Understanding how neurons coordinate their activity is a fundamental question in neuroscience, with implications for learning, memory, and neurological disorders. Calcium imaging h…
Time-varying optimization for Spike Inference from Multi-Trial Calcium Recordings
Tong Shen, Kevin Johnston, Gyorgy Lur +3
Optical imaging of genetically encoded calcium indicators is a powerful tool to record the activity of a large number of neurons simultaneously over a long period of time from free…
Bayesian nonparametric analysis for the detection of spikes in noisy calcium imaging data
Laura D'Angelo, Antonio Canale, Zhaoxia Yu +1
Recent advancements in miniaturized fluorescence microscopy have made it possible to investigate neuronal responses to external stimuli in awake behaving animals through the analys…
A Bayesian Nonparametric model for textural pattern heterogeneity
Xiao Li, Michele Guindani, Chaan S. Ng +1
Cancer radiomics is an emerging discipline promising to elucidate lesion phenotypes and tumor heterogeneity through patterns of enhancement, texture, morphology, and shape. The pre…
A Common Atom Model for the Bayesian Nonparametric Analysis of Nested Data
Francesco Denti, Federico Camerlenghi, Michele Guindani +1
The use of high-dimensional data for targeted therapeutic interventions requires new ways to characterize the heterogeneity observed across subgroups of a specific population. In p…