7 citations · 15 across the 4 of their papers we have counts for
4 papers
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…
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…
The two-dimensional Gabor function adapted to natural image statistics: A model of simple-cell receptive fields and sparse structure in images
Peter Loxley
The two-dimensional Gabor function is adapted to natural image statistics, leading to a tractable probabilistic generative model that can be used to model simple-cell receptive-fie…
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…