Oliver W. Layton

According to our database, Oliver W. Layton authored at least 8 papers between 2012 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Estimating heading from optic flow: Comparing deep learning network and human performance.

Natalie Maus, Oliver W. Layton

Neural Networks, 2022

A Dynamic Efficient Sensory Encoding Approach to Adaptive Tuning in Neural Models of Optic Flow Processing.

Scott T. Steinmetz, Oliver W. Layton, Nathaniel Powell, Brett R. Fajen

Frontiers Comput. Neurosci., 2022

2021

ARTFLOW: A Fast, Biologically Inspired Neural Network that Learns Optic Flow Templates for Self-Motion Estimation.

Oliver W. Layton

Sensors, 2021

2019

A model of how depth facilitates scene-relative object motion perception.

Oliver W. Layton, Diederick Christian Niehorster

PLoS Comput. Biol., 2019

2016

Competitive Dynamics in MSTd: A Mechanism for Robust Heading Perception Based on Optic Flow.

Oliver W. Layton, Brett R. Fajen

PLoS Comput. Biol., 2016

2014

A Unified Model of Heading and Path Perception in Primate MSTd.

Oliver W. Layton, N. Andrew Browning

PLoS Comput. Biol., 2014

2013

The simultaneous coding of heading and path in primate MSTd.

Oliver W. Layton, N. Andrew Browning

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

Recurrent competition explains temporal effects of attention in MSTd.

Oliver W. Layton, N. Andrew Browning

Frontiers Comput. Neurosci., 2012