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Contrastive Prediction of Point Process Observations (C3PO)

Unsupervised model to infer latent generative processes from point processes occuring in $\mathbb{R}^d$ spcae. Developed with focus for inferring neural states from waveform features of unclustered spike events.

Derivation

Similar Methods

  • Contrastive Predictive Coding (CPC)
    • Works for continuous time rather than point processes
  • Temporal Neural Networks (e.g. Hawkes process)
    • designed for categorically labeled events
  • CEBRA
    • designed for sorted spiking data
    • semi-supervised definition of matching states