Emergent spatial goals in an integrative model of the insect central complex
(2023) In PLoS Computational Biology 19(12).- Abstract
The insect central complex appears to encode and process spatial information through vector manipulation. Here, we draw on recent insights into circuit structure to fuse previous models of sensory-guided navigation, path integration and vector memory. Specifically, we propose that the allocentric encoding of location provided by path integration creates a spatially stable anchor for converging sensory signals that is relevant in multiple behavioural contexts. The allocentric reference frame given by path integration transforms a goal direction into a goal location and we demonstrate through modelling that it can enhance approach of a sensory target in noisy, cluttered environments or with temporally sparse stimuli. We further show the... (More)
The insect central complex appears to encode and process spatial information through vector manipulation. Here, we draw on recent insights into circuit structure to fuse previous models of sensory-guided navigation, path integration and vector memory. Specifically, we propose that the allocentric encoding of location provided by path integration creates a spatially stable anchor for converging sensory signals that is relevant in multiple behavioural contexts. The allocentric reference frame given by path integration transforms a goal direction into a goal location and we demonstrate through modelling that it can enhance approach of a sensory target in noisy, cluttered environments or with temporally sparse stimuli. We further show the same circuit can improve performance in the more complex navigational task of route following. The model suggests specific functional roles for circuit elements of the central complex that helps explain their high preservation across insect species.
(Less)
- author
- Goulard, Roman LU ; Heinze, Stanley LU and Webb, Barbara
- organization
- publishing date
- 2023
- type
- Contribution to journal
- publication status
- published
- subject
- in
- PLoS Computational Biology
- volume
- 19
- issue
- 12
- article number
- e1011480
- publisher
- Public Library of Science (PLoS)
- external identifiers
-
- pmid:38109465
- scopus:85180306984
- ISSN
- 1553-734X
- DOI
- 10.1371/journal.pcbi.1011480
- language
- English
- LU publication?
- yes
- id
- b5398167-7c85-4e36-99e7-7c53cbe737e8
- date added to LUP
- 2024-01-03 14:24:41
- date last changed
- 2024-04-18 11:42:57
@article{b5398167-7c85-4e36-99e7-7c53cbe737e8,
abstract = {{<p>The insect central complex appears to encode and process spatial information through vector manipulation. Here, we draw on recent insights into circuit structure to fuse previous models of sensory-guided navigation, path integration and vector memory. Specifically, we propose that the allocentric encoding of location provided by path integration creates a spatially stable anchor for converging sensory signals that is relevant in multiple behavioural contexts. The allocentric reference frame given by path integration transforms a goal direction into a goal location and we demonstrate through modelling that it can enhance approach of a sensory target in noisy, cluttered environments or with temporally sparse stimuli. We further show the same circuit can improve performance in the more complex navigational task of route following. The model suggests specific functional roles for circuit elements of the central complex that helps explain their high preservation across insect species.</p>}},
author = {{Goulard, Roman and Heinze, Stanley and Webb, Barbara}},
issn = {{1553-734X}},
language = {{eng}},
number = {{12}},
publisher = {{Public Library of Science (PLoS)}},
series = {{PLoS Computational Biology}},
title = {{Emergent spatial goals in an integrative model of the insect central complex}},
url = {{http://dx.doi.org/10.1371/journal.pcbi.1011480}},
doi = {{10.1371/journal.pcbi.1011480}},
volume = {{19}},
year = {{2023}},
}