activity
20142017
most citedPersistent search in confined domains: a velocity-jump process model

3 citations · 5 across the 5 of their papers we have counts for

collaborators

6 papers

q-bio.NC2017

Synaptic efficacy shapes resource limitations in working memory

Nikhil Krishnan, Daniel B Poll, Zachary P Kilpatrick

Working memory (WM) is limited in its temporal length and capacity. Classic conceptions of WM capacity assume the system possesses a finite number of slots, but recent evidence sug…

q-bio.NC2017★ 1 cited

Neural field model of memory-guided search

Zachary P Kilpatrick, Daniel B Poll

Many organisms can remember locations they have previously visited during a search. Visual search experiments have shown exploration is guided away from these locations, reducing t…

q-bio.NC2016

Velocity integration in a multilayer neural field model of spatial working memory

Daniel B. Poll, Zachary P. Kilpatrick

We analyze a multilayer neural field model of spatial working memory, focusing on the impact of interlaminar connectivity, spatial heterogeneity, and velocity inputs. Models of spa…

cond-mat.stat-mech2016★ 3 cited

Persistent search in confined domains: a velocity-jump process model

Daniel B. Poll, Zachary P. Kilpatrick

We analyze velocity-jump process models of persistent search for a single target on a bounded domain. The searcher proceeds along ballistic trajectories and is absorbed upon collis…

q-bio.NC2015★ 1 cited

Sensory feedback in a bump attractor model of path integration

Daniel B Poll, Khanh Nguyen, Zachary P Kilpatrick

The mammalian spatial navigation system makes use of several different sensory information channels. This information is then converted into a neural code that represents the anima…

nlin.PS2014

Stochastic motion of bumps in planar neural fields

Daniel Poll, Zachary P. Kilpatrick

We analyze the effects of spatiotemporal noise on stationary pulse solutions (bumps) in neural field equations on planar domains. Neural fields are integrodifferential equations wh…