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Robust and scalable Bayesian analysis of spatial neural tuning function data
On the other hand, sharing information between adjacent neurons can errantly degrade estimates of tuning functions across space if there are sharp discontinuities in tuning between nearby neurons.
Clustered factor analysis of multineuronal spike data
High-dimensional, simultaneous recordings of neural spiking activity are often explored, analyzed and visualized with the help of latent variable or factor models.
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