Short-term synaptic dynamics control the activity phase of neurons in an oscillatory network
In oscillatory systems, neuronal activity phase is often independent of network frequency. Such phase maintenance requires adjustment of synaptic input with network frequency, a relationship that we explored using the crab, Cancer borealis, pyloric network. The burst phase of pyloric neurons is rela...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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eLife Sciences Publications Ltd
2019-06-01
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| Series: | eLife |
| Subjects: | |
| Online Access: | https://elifesciences.org/articles/46911 |
| _version_ | 1811199487189712896 |
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| author | Diana Martinez Haroon Anwar Amitabha Bose Dirk M Bucher Farzan Nadim |
| author_facet | Diana Martinez Haroon Anwar Amitabha Bose Dirk M Bucher Farzan Nadim |
| author_sort | Diana Martinez |
| collection | DOAJ |
| description | In oscillatory systems, neuronal activity phase is often independent of network frequency. Such phase maintenance requires adjustment of synaptic input with network frequency, a relationship that we explored using the crab, Cancer borealis, pyloric network. The burst phase of pyloric neurons is relatively constant despite a > two fold variation in network frequency. We used noise input to characterize how input shape influences burst delay of a pyloric neuron, and then used dynamic clamp to examine how burst phase depends on the period, amplitude, duration, and shape of rhythmic synaptic input. Phase constancy across a range of periods required a proportional increase of synaptic duration with period. However, phase maintenance was also promoted by an increase of amplitude and peak phase of synaptic input with period. Mathematical analysis shows how short-term synaptic plasticity can coordinately change amplitude and peak phase to maximize the range of periods over which phase constancy is achieved. |
| first_indexed | 2024-04-12T01:50:05Z |
| format | Article |
| id | doaj.art-0a440ae0b41240c482ba303fcc6d6acf |
| institution | Directory Open Access Journal |
| issn | 2050-084X |
| language | English |
| last_indexed | 2024-04-12T01:50:05Z |
| publishDate | 2019-06-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj.art-0a440ae0b41240c482ba303fcc6d6acf2022-12-22T03:52:58ZengeLife Sciences Publications LtdeLife2050-084X2019-06-01810.7554/eLife.46911Short-term synaptic dynamics control the activity phase of neurons in an oscillatory networkDiana Martinez0https://orcid.org/0000-0003-0982-4092Haroon Anwar1https://orcid.org/0000-0002-3079-4812Amitabha Bose2Dirk M Bucher3Farzan Nadim4https://orcid.org/0000-0003-4144-9042Federated Department of Biological Sciences, New Jersey Institute of Technology and Rutgers University, Newark, United StatesFederated Department of Biological Sciences, New Jersey Institute of Technology and Rutgers University, Newark, United StatesDepartment of Mathematical Sciences, New Jersey Institute of Technology, Newark, United StatesFederated Department of Biological Sciences, New Jersey Institute of Technology and Rutgers University, Newark, United StatesFederated Department of Biological Sciences, New Jersey Institute of Technology and Rutgers University, Newark, United States; Department of Mathematical Sciences, New Jersey Institute of Technology, Newark, United StatesIn oscillatory systems, neuronal activity phase is often independent of network frequency. Such phase maintenance requires adjustment of synaptic input with network frequency, a relationship that we explored using the crab, Cancer borealis, pyloric network. The burst phase of pyloric neurons is relatively constant despite a > two fold variation in network frequency. We used noise input to characterize how input shape influences burst delay of a pyloric neuron, and then used dynamic clamp to examine how burst phase depends on the period, amplitude, duration, and shape of rhythmic synaptic input. Phase constancy across a range of periods required a proportional increase of synaptic duration with period. However, phase maintenance was also promoted by an increase of amplitude and peak phase of synaptic input with period. Mathematical analysis shows how short-term synaptic plasticity can coordinately change amplitude and peak phase to maximize the range of periods over which phase constancy is achieved.https://elifesciences.org/articles/46911Cancer borealisstomatogastriccentral pattern generatorshort-term synaptic plasticity |
| spellingShingle | Diana Martinez Haroon Anwar Amitabha Bose Dirk M Bucher Farzan Nadim Short-term synaptic dynamics control the activity phase of neurons in an oscillatory network eLife Cancer borealis stomatogastric central pattern generator short-term synaptic plasticity |
| title | Short-term synaptic dynamics control the activity phase of neurons in an oscillatory network |
| title_full | Short-term synaptic dynamics control the activity phase of neurons in an oscillatory network |
| title_fullStr | Short-term synaptic dynamics control the activity phase of neurons in an oscillatory network |
| title_full_unstemmed | Short-term synaptic dynamics control the activity phase of neurons in an oscillatory network |
| title_short | Short-term synaptic dynamics control the activity phase of neurons in an oscillatory network |
| title_sort | short term synaptic dynamics control the activity phase of neurons in an oscillatory network |
| topic | Cancer borealis stomatogastric central pattern generator short-term synaptic plasticity |
| url | https://elifesciences.org/articles/46911 |
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