Circuits for integrating learned and innate valences in the insect brain
Animal behavior is shaped both by evolution and by individual experience. Parallel brain pathways encode innate and learned valences of cues, but the way in which they are integrated during action-selection is not well understood. We used electron microscopy to comprehensively map with synaptic reso...
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eLife Sciences Publications Ltd
2021
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oai:doaj.org-article:76d1522599bb4d019882d868d08b931a2021-11-25T10:55:21ZCircuits for integrating learned and innate valences in the insect brain10.7554/eLife.625672050-084Xe62567https://doaj.org/article/76d1522599bb4d019882d868d08b931a2021-11-01T00:00:00Zhttps://elifesciences.org/articles/62567https://doaj.org/toc/2050-084XAnimal behavior is shaped both by evolution and by individual experience. Parallel brain pathways encode innate and learned valences of cues, but the way in which they are integrated during action-selection is not well understood. We used electron microscopy to comprehensively map with synaptic resolution all neurons downstream of all mushroom body (MB) output neurons (encoding learned valences) and characterized their patterns of interaction with lateral horn (LH) neurons (encoding innate valences) in Drosophila larva. The connectome revealed multiple convergence neuron types that receive convergent MB and LH inputs. A subset of these receives excitatory input from positive-valence MB and LH pathways and inhibitory input from negative-valence MB pathways. We confirmed functional connectivity from LH and MB pathways and behavioral roles of two of these neurons. These neurons encode integrated odor value and bidirectionally regulate turning. Based on this, we speculate that learning could potentially skew the balance of excitation and inhibition onto these neurons and thereby modulate turning. Together, our study provides insights into the circuits that integrate learned and innate valences to modify behavior.Claire EschbachAkira FushikiMichael WindingBruno AfonsoIngrid V AndradeBenjamin T CocanougherKatharina EichlerRuben GepnerGuangwei SiJavier Valdes-AlemanRichard D FetterMarc GershowGregory SXE JefferisAravinthan DT SamuelJames W TrumanAlbert CardonaMarta ZlaticeLife Sciences Publications Ltdarticlevalencelearnt behavioraction selectionconnectomeMedicineRScienceQBiology (General)QH301-705.5ENeLife, Vol 10 (2021) |
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valence learnt behavior action selection connectome Medicine R Science Q Biology (General) QH301-705.5 |
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valence learnt behavior action selection connectome Medicine R Science Q Biology (General) QH301-705.5 Claire Eschbach Akira Fushiki Michael Winding Bruno Afonso Ingrid V Andrade Benjamin T Cocanougher Katharina Eichler Ruben Gepner Guangwei Si Javier Valdes-Aleman Richard D Fetter Marc Gershow Gregory SXE Jefferis Aravinthan DT Samuel James W Truman Albert Cardona Marta Zlatic Circuits for integrating learned and innate valences in the insect brain |
| description |
Animal behavior is shaped both by evolution and by individual experience. Parallel brain pathways encode innate and learned valences of cues, but the way in which they are integrated during action-selection is not well understood. We used electron microscopy to comprehensively map with synaptic resolution all neurons downstream of all mushroom body (MB) output neurons (encoding learned valences) and characterized their patterns of interaction with lateral horn (LH) neurons (encoding innate valences) in Drosophila larva. The connectome revealed multiple convergence neuron types that receive convergent MB and LH inputs. A subset of these receives excitatory input from positive-valence MB and LH pathways and inhibitory input from negative-valence MB pathways. We confirmed functional connectivity from LH and MB pathways and behavioral roles of two of these neurons. These neurons encode integrated odor value and bidirectionally regulate turning. Based on this, we speculate that learning could potentially skew the balance of excitation and inhibition onto these neurons and thereby modulate turning. Together, our study provides insights into the circuits that integrate learned and innate valences to modify behavior. |
| format |
article |
| author |
Claire Eschbach Akira Fushiki Michael Winding Bruno Afonso Ingrid V Andrade Benjamin T Cocanougher Katharina Eichler Ruben Gepner Guangwei Si Javier Valdes-Aleman Richard D Fetter Marc Gershow Gregory SXE Jefferis Aravinthan DT Samuel James W Truman Albert Cardona Marta Zlatic |
| author_facet |
Claire Eschbach Akira Fushiki Michael Winding Bruno Afonso Ingrid V Andrade Benjamin T Cocanougher Katharina Eichler Ruben Gepner Guangwei Si Javier Valdes-Aleman Richard D Fetter Marc Gershow Gregory SXE Jefferis Aravinthan DT Samuel James W Truman Albert Cardona Marta Zlatic |
| author_sort |
Claire Eschbach |
| title |
Circuits for integrating learned and innate valences in the insect brain |
| title_short |
Circuits for integrating learned and innate valences in the insect brain |
| title_full |
Circuits for integrating learned and innate valences in the insect brain |
| title_fullStr |
Circuits for integrating learned and innate valences in the insect brain |
| title_full_unstemmed |
Circuits for integrating learned and innate valences in the insect brain |
| title_sort |
circuits for integrating learned and innate valences in the insect brain |
| publisher |
eLife Sciences Publications Ltd |
| publishDate |
2021 |
| url |
https://doaj.org/article/76d1522599bb4d019882d868d08b931a |
| work_keys_str_mv |
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