Simulation environment and experimental procedure.

<p>(A) Example unity simulation environment, with a 20m training route (red) and release points perpendicular to the route and running through the start position (perpendicular black line) (B) Example agent view (as acquired from the start of the route in A), panoramic, greyscale and measuring...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Amany Azevedo Amin (18596581) (author)
مؤلفون آخرون: Andrew Philippides (335828) (author), Paul Graham (335826) (author)
منشور في: 2025
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author Amany Azevedo Amin (18596581)
author2 Andrew Philippides (335828)
Paul Graham (335826)
author2_role author
author
author_facet Amany Azevedo Amin (18596581)
Andrew Philippides (335828)
Paul Graham (335826)
author_role author
dc.creator.none.fl_str_mv Amany Azevedo Amin (18596581)
Andrew Philippides (335828)
Paul Graham (335826)
dc.date.none.fl_str_mv 2025-09-10T17:57:11Z
dc.identifier.none.fl_str_mv 10.1371/journal.pcbi.1012798.g006
dc.relation.none.fl_str_mv https://figshare.com/articles/figure/Simulation_environment_and_experimental_procedure_/30099457
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv 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
dc.title.none.fl_str_mv Simulation environment and experimental procedure.
dc.type.none.fl_str_mv Image
Figure
info:eu-repo/semantics/publishedVersion
image
description <p>(A) Example unity simulation environment, with a 20m training route (red) and release points perpendicular to the route and running through the start position (perpendicular black line) (B) Example agent view (as acquired from the start of the route in A), panoramic, greyscale and measuring 36 x 180 pixels. (C) Agents are permitted to carry out a training route according to a route learning heuristic, of length 20m or 100m (depending on the experiment). Agents are then displaced to each of the release points and permitted to recapitulate for a distance 1.5 times the training route length.</p>
eu_rights_str_mv openAccess
id Manara_02c002ca94883cdb02e4ebd1af97ea6c
identifier_str_mv 10.1371/journal.pcbi.1012798.g006
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/30099457
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
repository_id_str
rights_invalid_str_mv CC BY 4.0
spelling Simulation environment and experimental procedure.Amany Azevedo Amin (18596581)Andrew Philippides (335828)Paul Graham (335826)MicrobiologyGeneticsNeurosciencePhysiologyEvolutionary BiologyBiological Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedspot scans performedzagged &# 8217surge &# 8217suitably sized goalstrategy casts formdominant navigation strategyfamiliar visual sceneincorporate oscillatory behaviourrobust visual navigationlearned route consistsrecapitulation strategies usedconvergence </ pinitial learning routeoscillatory motor mechanismvisual compassoscillatory search&# 8216learned routeprimary goalfamiliar viewsenable convergencebasic formalternative strategiesmotor patternsbehaviour incorporatedbasic motorant behaviourolfactory navigationroute retracingroute memoriesroute lengthroute learningwithout alterationsview familiarityuse viewsthus dependsretracing routesperformance improvesoscillations combinednaturally leadlearning gatedindividuals chooseevidence suggestsconsidered holisticallycentral axisbetter reflectionalso find<p>(A) Example unity simulation environment, with a 20m training route (red) and release points perpendicular to the route and running through the start position (perpendicular black line) (B) Example agent view (as acquired from the start of the route in A), panoramic, greyscale and measuring 36 x 180 pixels. (C) Agents are permitted to carry out a training route according to a route learning heuristic, of length 20m or 100m (depending on the experiment). Agents are then displaced to each of the release points and permitted to recapitulate for a distance 1.5 times the training route length.</p>2025-09-10T17:57:11ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pcbi.1012798.g006https://figshare.com/articles/figure/Simulation_environment_and_experimental_procedure_/30099457CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/300994572025-09-10T17:57:11Z
spellingShingle Simulation environment and experimental procedure.
Amany Azevedo Amin (18596581)
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
status_str publishedVersion
title Simulation environment and experimental procedure.
title_full Simulation environment and experimental procedure.
title_fullStr Simulation environment and experimental procedure.
title_full_unstemmed Simulation environment and experimental procedure.
title_short Simulation environment and experimental procedure.
title_sort Simulation environment and experimental procedure.
topic 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