Schematic illustration of behavioural route learning heuristics (A-D) and recapitulations strategies (E-D), see methods for details of implementation. Route learning heuristics.

<p>(A) Baseline learning route formation uses a global vector together with obstacle avoidance (where necessary). (B) Beacon aiming biases the agent toward salient visual features during learning, with obstacle avoidance taking precedence when within a pre-set proximity threshold (refer to met...

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Bibliographic Details
Main Author:	Amany Azevedo Amin (18596581) (author)
Other Authors:	Andrew Philippides (335828) (author), Paul Graham (335826) (author)
Published:	2025
Subjects:	Microbiology Genetics Neuroscience Physiology Evolutionary Biology Biological Sciences not elsewhere classified Information Systems not elsewhere classified spot scans performed zagged &# 8217 surge &# 8217 suitably sized goal strategy casts form dominant navigation strategy familiar visual scene incorporate oscillatory behaviour robust visual navigation learned route consists recapitulation strategies used convergence </ p initial learning route oscillatory motor mechanism visual compass oscillatory search &# 8216 learned route primary goal familiar views enable convergence basic form alternative strategies motor patterns behaviour incorporated basic motor ant behaviour olfactory navigation route retracing route memories route length route learning without alterations view familiarity use views thus depends retracing routes performance improves oscillations combined naturally lead learning gated individuals choose evidence suggests considered holistically central axis better reflection also find
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Schematic illustration of behavioural route learning heuristics (A-D) and recapitulations strategies (E-D), see methods for details of implementation. Route learning heuristics.

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