Mean Firing Rate Calculator
Mean fir ingrate ALL actual observed spikes/complete observation seconds. Actual independently matched observations/units and protocol, not diagnosis, causal mechanism, clinical decision or validated individual prediction.
Description
Mean firing rate summarizes total observed spikes over the full recording exposure.
Mean firing rate summarizes total observed spikes over the full recording exposure.1
This tool calculates spikes per second without estimating a peak bin rate or classifying firing patterns.
When to use Mean Firing Rate Calculator
This tool calculates spikes per second without estimating a peak bin rate or classifying firing patterns.
How to use Mean Firing Rate Calculator and how it works
- Prepare observed spike count, observed exposure seconds, using the input definitions and matching units below.
- Enter the required fields and run Mean Firing Rate Calculator.
- Read result.value using the units, signs and ordering explained below.
- Correct any rejected inputs and rerun; interpret the result within the stated model and its assumptions.
| Input field | Meaning | Value type | Requirement |
|---|---|---|---|
| actualObservedSpikeCount | Actual Observed Spike Count. Use the units and matching context stated in the calculation below. | number | Required; integer 0–1000000; finite; other constraints below |
| actualObservedExposureSeconds | Actual Observed Exposure Seconds. Use the units and matching context stated in the calculation below. | number | Required; strictly positive; finite; other constraints below |
Require observed spike count integer 0–1000000 and positive observed exposure seconds. Return count divided by exposure as spikes per second. All supplied spikes share the supplied exposure; no window classification or peak bin rate is inferred.
meanHz=observedSpikeCount/exposureSeconds Apply the input ordering, units and branch conditions stated above.
| Output field | Meaning | Value type |
|---|---|---|
| result | Object containing the calculated or selected fields below. | object |
| result.value | Observed event or spike rate per second. | number |
{
"input": {
"actualObservedSpikeCount": 4,
"actualObservedExposureSeconds": 2
},
"output": {
"result": {
"value": 2
}
}
}Limitations and assumptions
The calculation uses the supplied observations and model inputs. It does not collect measurements, select a reference population or coefficient, or establish that the model applies to the actual case. The stated branch conditions and output units remain part of the result.
All fields require explicit values. Unexpected fields, wrong types, nonfinite numbers and sparse arrays are rejected. Alignment, bounds and supported-token rules are explained above; extremely large inputs or nonfinite results can also fail. Input errors differ from successful false comparisons, unavailable-domain flags and empty match lists.
Alternative or Complementary methods
Use Tonic Firing Rate Calculator for a complementary operation: A tonic firing-rate observation requires independently classified recording windows rather than a label inferred from the rate alone.
Use Spontaneous Firing Rate Calculator for a complementary operation: Spontaneous firing rate requires independently identified no-stimulus recording windows.
References
-
Mean Firing Rate Calculator — tool.io
Similar or alternative tools
- Tonic Firing Rate Calculator
A tonic firing-rate observation requires independently classified recording windows rather than a label inferred from the rate alone.
- Spontaneous Firing Rate Calculator
Spontaneous firing rate requires independently identified no-stimulus recording windows.