44 citations · 181 across the 20 of their papers we have counts for
21 papers
Reduced rank regression for neural communication: a tutorial for neuroscientists
Bichan Wu, Jonathan Pillow
Reduced rank regression (RRR) is a statistical method for finding a low-dimensional linear mapping between a set of high-dimensional inputs and outputs. In recent years, RRR has fo…
State-switching navigation strategies in C. elegans are beneficial for chemotaxis
Kevin S. Chen, Andrew M. Leifer, Jonathan W. Pillow
Animals employ different strategies for relating sensory input to behavioral output to navigate sensory environments, but what strategy to use, when to switch and why remain unclea…
Olfactory learning alters navigation strategies and behavioral variability in C. elegans
Kevin S. Chen, Anuj K. Sharma, Jonathan W. Pillow +1
Animals adjust their behavioral response to sensory input adaptively depending on past experiences. The flexible brain computation is crucial for survival and is of great interest…
System Identification for Continuous-time Linear Dynamical Systems
Peter Halmos, Jonathan Pillow, David A. Knowles
The problem of system identification for the Kalman filter, relying on the expectation-maximization (EM) procedure to learn the underlying parameters of a dynamical system, has lar…
Spectral learning of Bernoulli linear dynamical systems models
Iris R. Stone, Yotam Sagiv, Il Memming Park +1
Latent linear dynamical systems with Bernoulli observations provide a powerful modeling framework for identifying the temporal dynamics underlying binary time series data, which ar…
Correcting motion induced fluorescence artifacts in two-channel neural imaging
Matthew S. Creamer, Kevin S. Chen, Andrew M. Leifer +1
Imaging neural activity in a behaving animal presents unique challenges in part because motion from an animal's movement creates artifacts in fluorescence intensity time-series tha…