Growth and splitting of neural sequences in songbird vocal development
Neural sequences are a fundamental feature of brain dynamics underlying diverse behaviours, but the mechanisms by which they develop during learning remain unknown. Songbirds learn vocalizations composed of syllables; in adult birds, each syllable is produced by a different sequence of action potent...
| Prif Awduron: | , , , , |
|---|---|
| Awduron Eraill: | |
| Fformat: | Erthygl |
| Cyhoeddwyd: |
Nature Publishing Group
2017
|
| Mynediad Ar-lein: | http://hdl.handle.net/1721.1/112257 https://orcid.org/0000-0001-7139-0956 https://orcid.org/0000-0001-6593-4398 https://orcid.org/0000-0003-4307-0247 https://orcid.org/0000-0001-7539-1745 |
| _version_ | 1826192892437200896 |
|---|---|
| author | Payne, Hannah L. Okubo, Tatsuo Mackevicius, Emily Lambert Lynch, Galen Forest Fee, Michale Sean |
| author2 | McGovern Institute for Brain Research at MIT |
| author_facet | McGovern Institute for Brain Research at MIT Payne, Hannah L. Okubo, Tatsuo Mackevicius, Emily Lambert Lynch, Galen Forest Fee, Michale Sean |
| author_sort | Payne, Hannah L. |
| collection | MIT |
| description | Neural sequences are a fundamental feature of brain dynamics underlying diverse behaviours, but the mechanisms by which they develop during learning remain unknown. Songbirds learn vocalizations composed of syllables; in adult birds, each syllable is produced by a different sequence of action potential bursts in the premotor cortical area HVC. Here we carried out recordings of large populations of HVC neurons in singing juvenile birds throughout learning to examine the emergence of neural sequences. Early in vocal development, HVC neurons begin producing rhythmic bursts, temporally locked to a prototype syllable. Different neurons are active at different latencies relative to syllable onset to form a continuous sequence. Through development, as new syllables emerge from the prototype syllable, initially highly overlapping burst sequences become increasingly distinct. We propose a mechanistic model in which multiple neural sequences can emerge from the growth and splitting of a commo n precursor sequence. |
| first_indexed | 2024-09-23T09:30:27Z |
| format | Article |
| id | mit-1721.1/112257 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T09:30:27Z |
| publishDate | 2017 |
| publisher | Nature Publishing Group |
| record_format | dspace |
| spelling | mit-1721.1/1122572022-09-26T11:55:42Z Growth and splitting of neural sequences in songbird vocal development Payne, Hannah L. Okubo, Tatsuo Mackevicius, Emily Lambert Lynch, Galen Forest Fee, Michale Sean McGovern Institute for Brain Research at MIT Okubo, Tatsuo Mackevicius, Emily Lambert Lynch, Galen Forest Fee, Michale Sean Neural sequences are a fundamental feature of brain dynamics underlying diverse behaviours, but the mechanisms by which they develop during learning remain unknown. Songbirds learn vocalizations composed of syllables; in adult birds, each syllable is produced by a different sequence of action potential bursts in the premotor cortical area HVC. Here we carried out recordings of large populations of HVC neurons in singing juvenile birds throughout learning to examine the emergence of neural sequences. Early in vocal development, HVC neurons begin producing rhythmic bursts, temporally locked to a prototype syllable. Different neurons are active at different latencies relative to syllable onset to form a continuous sequence. Through development, as new syllables emerge from the prototype syllable, initially highly overlapping burst sequences become increasingly distinct. We propose a mechanistic model in which multiple neural sequences can emerge from the growth and splitting of a commo n precursor sequence. National Institutes of Health (U.S.) (Grant R01DC009183) National Science Foundation (U.S.) (Grant DGE-114747) 2017-11-20T20:36:00Z 2017-11-20T20:36:00Z 2015-11 2015-01 2017-11-03T16:10:58Z Article http://purl.org/eprint/type/JournalArticle 0028-0836 1476-4687 http://hdl.handle.net/1721.1/112257 Okubo, Tatsuo S. et al. “Growth and Splitting of Neural Sequences in Songbird Vocal Development.” Nature 528, 7582 (November 2015): 352–357 © 2015 Macmillan Publishers Limited https://orcid.org/0000-0001-7139-0956 https://orcid.org/0000-0001-6593-4398 https://orcid.org/0000-0003-4307-0247 https://orcid.org/0000-0001-7539-1745 http://dx.doi.org/10.1038/NATURE15741 Nature Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Nature Publishing Group PMC |
| spellingShingle | Payne, Hannah L. Okubo, Tatsuo Mackevicius, Emily Lambert Lynch, Galen Forest Fee, Michale Sean Growth and splitting of neural sequences in songbird vocal development |
| title | Growth and splitting of neural sequences in songbird vocal development |
| title_full | Growth and splitting of neural sequences in songbird vocal development |
| title_fullStr | Growth and splitting of neural sequences in songbird vocal development |
| title_full_unstemmed | Growth and splitting of neural sequences in songbird vocal development |
| title_short | Growth and splitting of neural sequences in songbird vocal development |
| title_sort | growth and splitting of neural sequences in songbird vocal development |
| url | http://hdl.handle.net/1721.1/112257 https://orcid.org/0000-0001-7139-0956 https://orcid.org/0000-0001-6593-4398 https://orcid.org/0000-0003-4307-0247 https://orcid.org/0000-0001-7539-1745 |
| work_keys_str_mv | AT paynehannahl growthandsplittingofneuralsequencesinsongbirdvocaldevelopment AT okubotatsuo growthandsplittingofneuralsequencesinsongbirdvocaldevelopment AT mackeviciusemilylambert growthandsplittingofneuralsequencesinsongbirdvocaldevelopment AT lynchgalenforest growthandsplittingofneuralsequencesinsongbirdvocaldevelopment AT feemichalesean growthandsplittingofneuralsequencesinsongbirdvocaldevelopment |