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Dr. Oliver Layton

Computational Neuroscience Dynamic Neural Modeling Human Navigation Primate Visual System Modeling Virtual Reality Experiments
Colby College Computer Science

About

Oliver Layton’s research focuses on how the brain controls behavior and informs the design of better technology. Specifically, he is fascinated by the brain mechanisms and strategies that allow people to effortlessly move through dynamic, complex scenarios, such as walking through Grand Central Station without colliding with people and flying drones through cluttered environments. Oliver is passionate about the liberal arts and interdisciplinary learning, having created a self-determined major in ‘Computational Neuroscience’ at Skidmore College to study the brain from a diversity of perspectives, including Computer Science, Neuroscience, Psychology, and Mathematics. He went onto graduate school at Boston University, where he became interested in human navigation and developed a large-scale, dynamic neural model that simulates how humans perceive their movement through realistic environments. After earning his Ph.D. in Cognitive and Neural Systems, he joined the Perception and Action Lab at Rensselaer Polytechnic Institute as a Postdoctoral Researcher to design virtual reality experiments to better understand human navigation and develop new models of the primate visual system.

Research Performance Summary

30
Total Papers
456
Total Citations
12
H-Index
2009-2023
Active Research Span

First Recorded Paper

The traveling salesman problem in the natural environment

Year: 2009

Citations: 11

Venue: N/A

Latest Recorded Paper

Temporal stability of human heading perception

Year: 2023

Citations: 0

Venue: Journal of Vision 23 (2)

Last 10 Years Publication Activity

This timeline shows the professor's yearly publication activity.

2023
2
2022
4
2021
4
2020
2
2019
3
2017
1
2016
5
2015
1
2014
2
2013
2
2012
3

Publication Venues and Collaboration

Journal, Conference, and Book Publication Breakdown

Conference 1
Journal 11
Book 1

Top Coauthors

Layton Fajen Steinmetz

Research Impact by Period

2020-2024

Period Stats
Papers 12
Citations 58
Avg. Citations / Paper 4.8
H-Index 5

2015-2019

Period Stats
Papers 10
Citations 219
Avg. Citations / Paper 21.9
H-Index 7

2010-2014

Period Stats
Papers 7
Citations 168
Avg. Citations / Paper 24
H-Index 5

2005-2009

Period Stats
Papers 1
Citations 11
Avg. Citations / Paper 11
H-Index 1

Contact and Professional Links

Contact Information

oliver@olayton.com

Detected Research Keywords

Object Motion Perception Presence Moving Objects Biologically Inspired Neural Dynamic Efficient Sensory Efficient Sensory Encoding Sensory Encoding Approach Encoding Approach Adaptive Approach Adaptive Tuning Adaptive Tuning Neural Tuning Neural Models