Learn by the example

• Compressed Kernel Density Estimation (cKDE)
  • Math
  • Python API cKDE
  • Workflow for compressed kernel density estimation
• Neural decoding with cKDE
  • Neural decoding without spike-sorting
  • Python API neural decoding
  • Cross-validation
  • Evaluation of decoding performance
  • Workflow for neural decoding
• Neural decoding: position on a multi-arm track
  • imports
  • retrieve data
  • define parameters
  • maze definition and evaluation grid
  • preprocess behavioral and spiking data
  • define decoding spaces and grid
  • convenience function for building decoder and binning data
  • perform cross-validation
  • assess decoding results
  • Save decoder
  • Test saved decoder
  • Explore contents of saved HDF5 file