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Production of adaptive movement patterns via an insect inspired spiking neural network central pattern generator
journal contribution
posted on 2023-06-10, 05:24 authored by Paul GrahamPaul Graham, Fabian Steinbeck, Thomas NowotnyThomas Nowotny, Andy PhilippidesAndy PhilippidesNavigation in ever-changing environments requires effective motor behaviours. Many insects have developed adaptive movement patterns which increase their success in achieving navigational goals. A conserved brain area in the insect brain, the Lateral Accessory Lobe, is involved in generating small scale search movements which increase the efficacy of sensory sampling. When the reliability of an essential navigational stimulus is low, searching movements are initiated whereas if the stimulus reliability is high, a targeted steering response is elicited. Thus the network mediates an adaptive switching between motor patterns. We developed Spiking Neural Network models to explore how an insect inspired architecture could generate adaptive movements in relation to changing sensory inputs. The models are able to generate a variety of adaptive movement patterns, the majority of which are of the zig-zagging kind, as seen in a variety of insects. Furthermore, these networks are robust to noise. Because a large spread of network parameters lead to the correct movement dynamics, we conclude that the investigated network architecture is inherently well suited to generating adaptive movement patterns.
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- Published
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- Published version
Journal
Frontiers in Computational NeuroscienceISSN
1662-5188Publisher
Frontiers MediaExternal DOI
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16Page range
1-15Department affiliated with
- Evolution, Behaviour and Environment Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2022-11-10First Open Access (FOA) Date
2022-11-10First Compliant Deposit (FCD) Date
2022-11-09Usage metrics
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