5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2021★ 5 cited
A Dynamic Programming Algorithm for Finding an Optimal Sequence of Informative Measurements
Peter N. Loxley, Ka-Wai Cheung
An informative measurement is the most efficient way to gain information about an unknown state. We present a first-principles derivation of a general-purpose dynamic programming a…
cs.LG2020★ 1 cited
A sparse code increases the speed and efficiency of neuro-dynamic programming for optimal control tasks with correlated inputs
Peter N. Loxley
Sparse codes in neuroscience have been suggested to offer certain computational advantages over other neural representations of sensory data. To explore this viewpoint, a sparse co…
physics.bio-ph2011★ 2 cited
Visually-salient contour detection using a V1 neural model with horizontal connections
P. N. Loxley, L. M. Bettencourt
A convolution model which accounts for neural activity dynamics in the primary visual cortex is derived and used to detect visually salient contours in images. Image inputs to the…