LTP Magnitude Calculator

Actual signed LTP percentage increase of matched qualified post/baseline response, not assume potentiation mechanism or automatically assign LTP. Actual independently matched observations/units and protocol, not diagnosis, causal mechanism, clinical decision or validated individual prediction.

Description

An LTP magnitude convention can express post-response increase relative to a matched baseline.

An LTP magnitude convention can express post-response increase relative to a matched baseline.1

This tool calculates the signed percentage change without establishing that the observations demonstrate a potentiation mechanism.

When to use LTP Magnitude Calculator

This tool calculates the signed percentage change without establishing that the observations demonstrate a potentiation mechanism.

How to use LTP Magnitude Calculator and how it works

  1. Prepare qualified post ltp response, qualified baseline response, using the input definitions and matching units below.
  2. Enter the required fields and run LTP Magnitude Calculator.
  3. Read result.value using the units, signs and ordering explained below.
  4. Correct any rejected inputs and rerun; interpret the result within the stated model and its assumptions.
Input fieldMeaningValue typeRequirement
actualQualifiedPostLtpResponseActual Qualified Post Ltp Response. Use the units and matching context stated in the calculation below.numberRequired; strictly positive; finite; other constraints below
actualQualifiedBaselineResponseActual Qualified Baseline Response. Use the units and matching context stated in the calculation below.numberRequired; strictly positive; finite; other constraints below

Require positive matched post-LTP and baseline response magnitudes. Return 100*(post/baseline-1), with response units cancelling. Negative percentages are retained for a decrease; the calculation does not independently classify LTP or establish a mechanism.

increasePercent=100*(post/baseline-1)

Apply the input ordering, units and branch conditions stated above.

Output fieldMeaningValue type
resultObject containing the calculated or selected fields below.object
result.valuePercentage under the stated numerator, denominator and sign convention.number
json
{
  "input": {
    "actualQualifiedPostLtpResponse": 3,
    "actualQualifiedBaselineResponse": 2
  },
  "output": {
    "result": {
      "value": 50
    }
  }
}

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 Mini Amplitude Calculator for a complementary operation: A miniature synaptic event amplitude can retain its polarity as peak minus baseline.

Use LTD Magnitude Calculator for a complementary operation: An LTD magnitude convention expresses response reduction as a positive percentage of baseline.

References

  1. LTP Magnitude Calculator — tool.io

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