Example Index
This page mirrors the MATLAB Examples help index and points to the canonical
Python notebook or script equivalent for each workflow.
Paper cross-reference:
Class and Object Workflows
SignalObjExamples:notebooks/SignalObjExamples.ipynbCovariateExamples:notebooks/CovariateExamples.ipynbCovCollExamples:notebooks/CovCollExamples.ipynbnSpikeTrainExamples:notebooks/nSpikeTrainExamples.ipynbnstCollExamples:notebooks/nstCollExamples.ipynbEventsExamples:notebooks/EventsExamples.ipynbHistoryExamples:notebooks/HistoryExamples.ipynbTrialExamples:notebooks/TrialExamples.ipynbTrialConfigExamples:notebooks/TrialConfigExamples.ipynbConfigCollExamples:notebooks/ConfigCollExamples.ipynbConfidenceIntervalOverview:notebooks/ConfidenceIntervalOverview.ipynb
Fitting, Assessment, and Analysis
AnalysisExamples:notebooks/AnalysisExamples.ipynbAnalysisExamples2:notebooks/AnalysisExamples2.ipynbFitResultExamples:notebooks/FitResultExamples.ipynbFitResultReference:notebooks/FitResultReference.ipynbFitResSummaryExamples:notebooks/FitResSummaryExamples.ipynb
Simulation and Example-Data Analyses
PPThinning:notebooks/PPThinning.ipynbPPSimExample:notebooks/PPSimExample.ipynbPSTHEstimation:notebooks/PSTHEstimation.ipynbValidationDataSet:notebooks/ValidationDataSet.ipynbmEPSCAnalysis:notebooks/mEPSCAnalysis.ipynbExplicitStimulusWhiskerData:notebooks/ExplicitStimulusWhiskerData.ipynbHippocampalPlaceCellExample:notebooks/HippocampalPlaceCellExample.ipynb
Decoding and Network Workflows
DecodingExample:notebooks/DecodingExample.ipynbDecodingExampleWithHist:notebooks/DecodingExampleWithHist.ipynbStimulusDecode2D:notebooks/StimulusDecode2D.ipynbHybridFilterExample:notebooks/HybridFilterExample.ipynbNetworkTutorial:notebooks/NetworkTutorial.ipynb
Consolidated Paper Workflow
All five paper examples are self-contained scripts mirroring their MATLAB counterparts:
Example |
Script |
What it demonstrates |
|---|---|---|
01 — mEPSC Poisson |
Constant vs piecewise Poisson under Mg2+ washout |
|
02 — Whisker Stimulus |
Explicit-stimulus GLM with lag and history selection |
|
03 — PSTH and SSGLM |
PSTH comparison and state-space GLM dynamics |
|
04 — Place Cells |
Gaussian vs Zernike receptive-field models |
|
05 — PPAF and PPHF |
Adaptive and hybrid point-process decoding |
Generated gallery and figure index: Paper Examples
Master notebook:
notebooks/nSTATPaperExamples.ipynb
Supplementary (README) Examples
These smaller demos serve as quick install and plotting checks:
Example |
Run command |
|---|---|
Multitaper spectrum + spectrogram |
|
Simulated CIF spike train |
|
Spike-train raster |
|