ArticlePLoS computational biology2021
Addition of new neurons and the emergence of a local neural circuit for precise timing.
Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Temperature robustness of the timing network within songbird premotor nucleus HVC.Journal of computational neuroscience · 2026Article
- Partially Observable Markov Models Inferred Using Statistical Tests Reveal Context-Dependent Syllable Transitions in Bengalese Finch Songs.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Millisecond-scale motor coding precedes sensorimotor learning in songbirds.bioRxiv : the preprint server for biology · 2024Article
- Discovering plasticity rules that organize and maintain neural circuits.bioRxiv : the preprint server for biology · 2024Article
- Dynamic control of sequential retrieval speed in networks with heterogeneous learning rules.eLife · 2024Article
- Unsupervised restoration of a complex learned behavior after large-scale neuronal perturbation.Nature neuroscience · 2024Article
- Neural Sequences and the Encoding of Time.Advances in experimental medicine and biology · 2024Review
- Multiplexing working memory and time in the trajectories of neural networks.Nature human behaviour · 2023Article
- Encoding time in neural dynamic regimes with distinct computational tradeoffs.PLoS computational biology · 2022Article
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Authors and funding
2 authors.
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Abstract
During development, neurons arrive at local brain areas in an extended period of time, but how they form local neural circuits is unknown. Here we computationally model the emergence of a network for precise timing in the premotor nucleus HVC in songbird. We show that new projection neurons, added to HVC post hatch at early stages of song development, are recruited to the end of a growing feedforward network. High spontaneous activity of the new neurons makes them the prime targets for recruitment in a self-organized process via synaptic plasticity. Once recruited, the new neurons fire readily at precise times, and they become mature. Neurons that are not recruited become silent and replaced by new immature neurons. Our model incorporates realistic HVC features such as interneurons, spatial distributions of neurons, and distributed axonal delays. The model predicts that the birth order of the projection neurons correlates with their burst timing during the song.
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