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Computational models for spatiotemporal filtering strategies in insect motion vision at low light levels

O'Carroll, David C. LU and Warrant, Eric J. LU orcid (2011) 2011 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2011 p.119-124
Abstract

We explore a promising new approach to understanding the neural filter mechanisms intermediate in motion processing at low luminance. We carefully account for the known filter properties of early stages of visual processing in a nocturnal moth, and then measured spatiotemporal tuning of higher order neurons. We then use a computational model to identify likely strategies used to reject noisy signals at higher-order stages of motion detection. In so doing, we provide the first description of the spatial and temporal pooling filters in motion vision of nocturnal insects.

Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Proceedings of the 2011 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2011
article number
6146593
pages
6 pages
conference name
2011 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2011
conference location
Adelaide, SA, Australia
conference dates
2011-12-06 - 2011-12-09
external identifiers
  • scopus:84857985561
ISBN
9781457706738
DOI
10.1109/ISSNIP.2011.6146593
language
English
LU publication?
yes
id
84607388-e691-41bc-a917-c4733fce2471
date added to LUP
2018-01-18 13:47:39
date last changed
2021-03-16 01:31:22
@inproceedings{84607388-e691-41bc-a917-c4733fce2471,
  abstract     = {<p>We explore a promising new approach to understanding the neural filter mechanisms intermediate in motion processing at low luminance. We carefully account for the known filter properties of early stages of visual processing in a nocturnal moth, and then measured spatiotemporal tuning of higher order neurons. We then use a computational model to identify likely strategies used to reject noisy signals at higher-order stages of motion detection. In so doing, we provide the first description of the spatial and temporal pooling filters in motion vision of nocturnal insects.</p>},
  author       = {O'Carroll, David C. and Warrant, Eric J.},
  booktitle    = {Proceedings of the 2011 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2011},
  isbn         = {9781457706738},
  language     = {eng},
  pages        = {119--124},
  title        = {Computational models for spatiotemporal filtering strategies in insect motion vision at low light levels},
  url          = {http://dx.doi.org/10.1109/ISSNIP.2011.6146593},
  doi          = {10.1109/ISSNIP.2011.6146593},
  year         = {2011},
}