Computational models for spatiotemporal filtering strategies in insect motion vision at low light levels
(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:
https://lup.lub.lu.se/record/84607388-e691-41bc-a917-c4733fce2471
- author
- O'Carroll, David C. LU and Warrant, Eric J. LU
- organization
- publishing date
- 2011
- 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
- 2022-01-31 01:21:04
@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}}, }