15 citations · 15 across the 5 of their papers we have counts for
5 papers
Covariance Regression for High Dimensional Neural Data via Graph
Ganchao Wei
Modern recording techniques enable neuroscientists to simultaneously study neural activity across large populations of neurons, with capturing predictor-dependent correlations bein…
Bayesian Bi-clustering of Neural Spiking Activity with Latent Structures
Ganchao Wei
Modern neural recording techniques allow neuroscientists to obtain spiking activity of multiple neurons from different brain regions over long time periods, which requires new stat…
A Flexible Bayesian Clustering of Dynamic Subpopulations in Neural Spiking Activity
Ganchao Wei, Ian H. Stevenson, Xiaojing Wang
With advances in neural recording techniques, neuroscientists are now able to record the spiking activity of many hundreds of neurons simultaneously, and new statistical methods ar…
Dynamic modeling of spike count data with Conway-Maxwell Poisson variability
Ganchao Wei, Ian H. Stevenson
In many areas of the brain, neural spiking activity covaries with features of the external world, such as sensory stimuli or an animal's movement. Experimental findings suggest tha…
Tracking fast and slow changes in synaptic weights from simultaneously observed pre- and postsynaptic spiking
Ganchao Wei, Ian H. Stevenson
Synapses change on multiple timescales, ranging from milliseconds to minutes, due to a combination of both short- and long-term plasticity. Here we develop an extension of the comm…