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  • Installation
    • Package only
    • Package and examples
    • CUDA support
  • Examples
    • Moving beyond generalization to accurate interpretation of flexible models
      • Example 1
      • Example 2
    • Learning non-stationary Langevin dynamics from stochastic observations of latent trajectories
      • Example 1
      • Example 2
      • Example 3
    • The dynamics and geometry of choice in premotor cortex
      • Example 1
      • Example 2
      • References
  • Implementation
    • Core classes
      • model
      • GLLgrid
      • SpikeData
    • Optimization routines
      • Optimization
      • adam_opt
      • gd_opt
      • Grads
      • PDESolve
    • Predefined peq models
      • cos_fourth_power()
      • cos_square()
      • custom()
      • double_well()
      • linear_pot()
      • manual()
      • mixture()
      • single_well()
      • stepping()
      • uniform()
    • Predefined firing rate models
      • cos_square()
      • custom()
      • linear()
      • peaks()
      • rectified_linear()
      • sinus()
    • Feature complexity analysis
      • FC_tools
    • Data generation from Langevin dynamics
      • SyntheticData
    • Other modules and classes
      • Viterbi
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© Copyright 2020, Mikhail Genkin and Tatiana Engel. Revision c25061e6.

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