Measuring context dependency in birdsong using artificial neural networks.
Context dependency is a key feature in sequential structures of human language, which requires reference between words far apart in the produced sequence. Assessing how long the past context has an effect on the current status provides crucial information to understand the mechanism for complex sequ...
Saved in:
| Main Authors: | Takashi Morita, Hiroki Koda, Kazuo Okanoya, Ryosuke O Tachibana |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2021-12-01
|
| Series: | PLoS Computational Biology |
| Online Access: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009707&type=printable |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Social context affects sequence modification learning in birdsong
by: Lioba Fortkord, et al.
Published: (2025-02-01) -
Birdsong as an Indicator of Habitat Structure and Quality
by: Katalin Krenhardt, et al.
Published: (2025-06-01) -
Does Zipf’s law of abbreviation shape birdsong?
by: R. Tucker Gilman, et al.
Published: (2025-08-01) -
Behavioral discrimination and time-series phenotyping of birdsong performance.
by: Avishek Paul, et al.
Published: (2021-03-01) -
Nonparametric analysis of inter‐individual relations using an attention‐based neural network
by: Takashi Morita, et al.
Published: (2021-08-01)