Concepts & Background
Documentation
SignalObj
nstat.SignalObj
Covariate
nstat.Covariate
ConfidenceInterval
nstat.ConfidenceInterval
CovColl
nstat.CovColl
nspikeTrain
nstat.nspikeTrain
nstColl
nstat.nstColl
History
nstat.History
Events
nstat.Events
Trial
nstat.Trial
TrialConfig
nstat.TrialConfig
ConfigColl
nstat.ConfigColl
CIF
nstat.CIF
LinearCIF
nstat.LinearCIF
Analysis
nstat.Analysis
FitResult
nstat.FitResult
FitResSummary
nstat.FitResSummary
PopulationTimeRescaleResult
nstat.PopulationTimeRescaleResult
DecodingAlgorithms
nstat.DecodingAlgorithms
DecoderSuite
nstat.DecoderSuite
PoissonGLMResult
nstat.PoissonGLMResult
PointProcessSimulation
nstat.PointProcessSimulation
NetworkSimulationResult
nstat.NetworkSimulationResult
BSplineBasis2D
nstat.extras.spatial.basis.BSplineBasis2D
MaternPrior
nstat.extras.spatial.MaternPrior
WaveAnalysisResult
nstat.extras.spatial.WaveAnalysisResult
nstat.extras.interop.neo
nstat.extras.interop.pynapple
nstat.extras.interop.nwb
nstat.extras.validation.nemos_bridge
nstat.extras.validation.pykalman_bridge
nstat.extras.validation.statsmodels_bridge
nstat.extras.metrics.spike_distances
nstat.extras.em.dynamax_bridge
nstat.extras.decoding.clusterless_bridge
nstat.extras.decoding.place_field_decoder
nstat.extras.spatial
nstat.extras.latents.gpfa_bridge
nstat.extras.matlab_rng
Generated figure outputs for example06_place_fields_glm_basis are written here.
example06_place_fields_glm_basis