
ゼブラフィンチの歌の時間的構造は、神経細胞の内在的性質、特に過剰抑制からの反跳性興奮に関連している。


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Neuronal intrinsic excitability is a mechanism implicated in learning and memory that is distinct from synaptic plasticity. Prior work in songbirds established that intrinsic properties (IPs) of premotor basal-ganglia-projecting neurons (HVCX) relate to learned song. Here we find that temporal song structure is related to specific HVCX IPs: HVCX from birds who sang longer songs including longer invariant vocalizations (harmonic stacks) had IPs that reflected increased post-inhibitory rebound. This suggests a rebound excitation mechanism underlying the ability of HVCX neurons to integrate over long periods of time and represent sequence information. To explore this, we constructed a network model of realistic neurons showing how in-vivo HVC bursting properties link rebound excitation to network structure and behavior. These results demonstrate an explicit link between neuronal IPs and learned behavior. We propose that sequential behaviors exhibiting temporal regularity require IPs to be included in realistic network-level descriptions.

### Competing Interest Statement

The authors have declared no competing interest.

Bursts from the past: Intrinsic properties link a network model to zebra finch song

過去からの発火-学習された鳥の歌と神経細胞の内在的性質の関係


過去からの発火: 学習された鳥の歌と神経細胞の内在的性質の関係
