The following information about the current and future methods of the STAToolkit is current as of Nov 2, 2009

Methods for analysis of information:

• Currently available:
  • Direct Method (category-specific and formal information)
  • Metric Space Method
  • Binless Method
• Immediate plans:
  • Context Tree Method
  • Hybrid Binless-Metric Space Method

Entropy estimation methods:

• Currently available:
  • Naive
  • Ma Bound
  • Treves-Panzeri-Miller-Carlton Correction
  • Jackknife Correction
  • Nemenman-Shafee-Bialek NSB Method
  • Paninski's Best Upper Bound BUB Method
  • Chao-Shen Method
  • Wolpert-Wolf Method
• Immediate plans:
  • Hausser-Strimmer Method

Methods for comparison (assessing similarity) of spike trains:

• Currently available:
  • Spike Time Metric
• Immediate plans:
  • Van Rossum Metric
  • Hougton-Sen (synaptic) Metric

Methods for analysis of multineuronal firing patterns:

• Immediate plans:
  • Maximum-Entropy Method

Methods for analysis of synchrony and variability:

• Immediate plans:
  • Event Synchronization (Quiroga)
  • Message-Passing Algorithm (Dauwels)

Methods for relating spike firing to LFP periodicities:

• Immediate plans:
  • Koepsell/Sommer Algorithm for Oscillatory activity

Methods for analysis of spike train variability:

• Immediate plans:
  • Reduction to Noisy Leaky Integrate-and-Fire Models (Knight/Sirovich)