To go beyond bioacoustics and to actually serve as a core package for acoustic communication researchers, we need modules that contains reference implementations of models of animal acoustic communication and behavior.

This is a meta issue to keep track of what that module might look like. Please feel free to comment and add to the discussion.

My initial thoughts:

• scope: "scikit-learn-sized" models, mainly written with Python + array-oriented numpy -- neural network models can live in vak
• how to group? by research area or by model type/framework?
  • any schema will be imperfect
  • research area would be something like: vocal learning, cultural evolution, syntax, evolution
  • model type would be something like:
    • vocal learning
      • reinforcement learning
        • Troyer
        • Seung
      • imitation learning
        • De Freitas
      • babbling
        • models that Sita cites in review
    • cultural evolution
      • agent-based models
        • Youngblood
        • Creanza
    • syntax
      • context-free grammars, etc.
        • Sainburg
        • Beckers
      • probabilistic-suffix tree
        • Markowtiz, canary
      • markov
        • Jin, Bengalese finch
        • Koparkar et al 2024 model, see ENH: Add Koparkar 2024 chunking model of Bengalese finch song syntax #200
    • evolution
      • game theory
      • Matt Spike models
    • collective behavior
    • social behavior
      • network models
        • Stowell: https://github.com/danstowell/callnets-glm
    • production: speech is out of scope, there are plenty of packages for this already
      • source-filter
      • Mindlin model
    • rhythm
      • Troyer et al: https://web.archive.org/web/20220120153928/https://www.utsa.edu/troyerlab/software.html
      • Ravignani et al

🤔 Maybe there's not enough overlap and it's ok to group by research area