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Neural noise induces the evolution of robust behaviour by avoiding non-functional bifurcations
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posted on 2023-06-08, 10:18 authored by Jose Fernandez Leon, Ezequiel Di PaoloContinuous-time recurrent neural networks affected by random additive noise are evolved to produce phototactic behaviour in simulated mobile agents. The resulting neurocontrollers are evaluated after evolution against perturbations and for different levels of neural noise. Controllers evolved with neural noise are more robust and may still function in the absence of noise. Evidence from behavioural tests indicates that robust controllers do not undergo noise-induced bifurcations or if they do, the transient dynamics remain functional. A general hypothesis is proposed according to which evolution implicitly selects neural systems that operate in noise-resistant landscapes which are hard to bifurcate and/or bifurcate while retaining functionality.
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Publication status
- Published
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From Animals to Animats 10, SpringerPublisher URL
Presentation Type
- paper
Event name
10th International Conference on the Simulation of Adaptive BehaviorEvent location
JapanEvent type
conferenceDepartment affiliated with
- Informatics Publications
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- No
Peer reviewed?
- Yes
Legacy Posted Date
2012-02-20Usage metrics
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