Spontaneous and continuous dynamics

Use this category when no single supplied event train defines the question. The methods keep acquisition gaps and state boundaries explicit rather than treating a recording as one uninterrupted stationary signal.

Choose the workflow

Need	Workflow	Status
Detect candidate fluorescence transients, then quantify their rate and kinetics	Spontaneous transients	Experimental
Estimate autocorrelation, PSD, spectrograms, or state-conditioned band power	Time, frequency, and state analysis	Experimental
Summarize seconds-to-hours windows with explicit coverage	Multiscale long-duration summaries	Experimental

Required distinctions

• Candidate detection is separate from waveform quantification.
• Missing acquisition time is separate from a low signal value.
• A fluorescence transient is not automatically a neurotransmitter-release event.
• Spectral power is descriptive unless the sampling, window, null, and independent unit support the stronger claim.
• “Tonic” and “phasic” are biological interpretations, not labels inferred from a timescale alone.

Coverage gaps this category exposes

• manually adjudicated and synthetic-injection detector benchmarks;
• point-process and marked-event models at the animal level;
• wavelet and cross-frequency workflows with gap-aware nulls;
• change-point and latent-state models that preserve uncertainty; and
• public paper-figure reproductions spanning sensors, tasks, and acquisition systems.

For relationships among simultaneous signals, continue to multi-signal and spatial analysis.