Appetitive conditioning.
<p>a) Lifetime as a function of daily energy use. Upon approaching the stimulus, the animals gain half a unit of energy. Right: as left panel but with 2 days between the stimuli. In this case LTM is better. The adaptive algorithm fully overlaps with the maximum of these curves (not shown for c...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| منشور في: |
2024
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| الموضوعات: | |
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| _version_ | 1852025605893128192 |
|---|---|
| author | Jiamu Jiang (19959616) |
| author2 | Emilie Foyard (20141910) Mark C. W. van Rossum (19959623) |
| author2_role | author author |
| author_facet | Jiamu Jiang (19959616) Emilie Foyard (20141910) Mark C. W. van Rossum (19959623) |
| author_role | author |
| dc.creator.none.fl_str_mv | Jiamu Jiang (19959616) Emilie Foyard (20141910) Mark C. W. van Rossum (19959623) |
| dc.date.none.fl_str_mv | 2024-10-28T18:00:07Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pcbi.1012554.g008 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Appetitive_conditioning_/27320101 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Neuroscience Science Policy Mental Health Biological Sciences not elsewhere classified reward prediction error intensive aversive memories avoid noxious stimuli drosophila suppress formation include energy considerations energy expensive long simulated flies learned reinforcement learning framework potentially impairing survival learning </ p reinforcement learning memory formation adaptive learning metabolic energy energy reserve term memory synaptic plasticity substantial amount study highlights resistant memory profitable investment memory pathways life depends hazard function economic theory dopaminergic control decaying anesthesia |
| dc.title.none.fl_str_mv | Appetitive conditioning. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>a) Lifetime as a function of daily energy use. Upon approaching the stimulus, the animals gain half a unit of energy. Right: as left panel but with 2 days between the stimuli. In this case LTM is better. The adaptive algorithm fully overlaps with the maximum of these curves (not shown for clarity). b) Lifetime as a function of initial energy reserve, in case of a 2-day stimulus interval and -0.1 daily energy change. Lifetime gains with LTM are highest when the reserve is high.</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_37c9d3c13fc2f22ef2d75a2caaa7bae2 |
| identifier_str_mv | 10.1371/journal.pcbi.1012554.g008 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/27320101 |
| publishDate | 2024 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Appetitive conditioning.Jiamu Jiang (19959616)Emilie Foyard (20141910)Mark C. W. van Rossum (19959623)NeuroscienceScience PolicyMental HealthBiological Sciences not elsewhere classifiedreward prediction errorintensive aversive memoriesavoid noxious stimulidrosophila suppress formationinclude energy considerationsenergy expensive longsimulated flies learnedreinforcement learning frameworkpotentially impairing survivallearning </ preinforcement learningmemory formationadaptive learningmetabolic energyenergy reserveterm memorysynaptic plasticitysubstantial amountstudy highlightsresistant memoryprofitable investmentmemory pathwayslife dependshazard functioneconomic theorydopaminergic controldecaying anesthesia<p>a) Lifetime as a function of daily energy use. Upon approaching the stimulus, the animals gain half a unit of energy. Right: as left panel but with 2 days between the stimuli. In this case LTM is better. The adaptive algorithm fully overlaps with the maximum of these curves (not shown for clarity). b) Lifetime as a function of initial energy reserve, in case of a 2-day stimulus interval and -0.1 daily energy change. Lifetime gains with LTM are highest when the reserve is high.</p>2024-10-28T18:00:07ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pcbi.1012554.g008https://figshare.com/articles/figure/Appetitive_conditioning_/27320101CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/273201012024-10-28T18:00:07Z |
| spellingShingle | Appetitive conditioning. Jiamu Jiang (19959616) Neuroscience Science Policy Mental Health Biological Sciences not elsewhere classified reward prediction error intensive aversive memories avoid noxious stimuli drosophila suppress formation include energy considerations energy expensive long simulated flies learned reinforcement learning framework potentially impairing survival learning </ p reinforcement learning memory formation adaptive learning metabolic energy energy reserve term memory synaptic plasticity substantial amount study highlights resistant memory profitable investment memory pathways life depends hazard function economic theory dopaminergic control decaying anesthesia |
| status_str | publishedVersion |
| title | Appetitive conditioning. |
| title_full | Appetitive conditioning. |
| title_fullStr | Appetitive conditioning. |
| title_full_unstemmed | Appetitive conditioning. |
| title_short | Appetitive conditioning. |
| title_sort | Appetitive conditioning. |
| topic | Neuroscience Science Policy Mental Health Biological Sciences not elsewhere classified reward prediction error intensive aversive memories avoid noxious stimuli drosophila suppress formation include energy considerations energy expensive long simulated flies learned reinforcement learning framework potentially impairing survival learning </ p reinforcement learning memory formation adaptive learning metabolic energy energy reserve term memory synaptic plasticity substantial amount study highlights resistant memory profitable investment memory pathways life depends hazard function economic theory dopaminergic control decaying anesthesia |