43 citations · 107 across the 6 of their papers we have counts for
4 papers · 1 filter
Recurrent switching linear dynamical systems
Scott W. Linderman, Andrew C. Miller, Ryan P. Adams +3
Many natural systems, such as neurons firing in the brain or basketball teams traversing a court, give rise to time series data with complex, nonlinear dynamics. We can gain insigh…
Bayesian latent structure discovery from multi-neuron recordings
Scott W. Linderman, Ryan P. Adams, Jonathan W. Pillow
Neural circuits contain heterogeneous groups of neurons that differ in type, location, connectivity, and basic response properties. However, traditional methods for dimensionality…
A Nonparametric Bayesian Approach to Uncovering Rat Hippocampal Population Codes During Spatial Navigation
Scott W. Linderman, Matthew J. Johnson, Matthew A. Wilson +1
Rodent hippocampal population codes represent important spatial information about the environment during navigation. Several computational methods have been developed to uncover th…
A framework for studying synaptic plasticity with neural spike train data
Scott W. Linderman, Christopher H. Stock, Ryan P. Adams
Learning and memory in the brain are implemented by complex, time-varying changes in neural circuitry. The computational rules according to which synaptic weights change over time…