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Related Concept Videos

Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
Classification of Signals01:30

Classification of Signals

In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...

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Related Experiment Video

Updated: Jul 6, 2026

Cross-Modal Multivariate Pattern Analysis
13:51

Cross-Modal Multivariate Pattern Analysis

Published on: November 9, 2011

Source memory for unrecognized items: predictions from multivariate signal detection theory.

Jeffrey J Starns1, Jason L Hicks, Noelle L Brown

  • 1Louisiana State University, Baton Rouge, Louisiana 70803-5501, USA.

Memory & Cognition
|March 8, 2008
PubMed
Summary
This summary is machine-generated.

This study reveals that people can recall the origin of unrecognized words, especially when encouraged to be cautious. Source memory for forgotten items depends on response bias in recognition tasks.

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Area of Science:

  • Cognitive Psychology
  • Neuroscience
  • Memory Research

Background:

  • Source memory, the ability to recall contextual details of a memory, is crucial for accurate recollection.
  • Recognition memory tests often assess item memory (identifying previously encountered stimuli) but can also probe source memory.
  • Understanding factors influencing source memory for unrecognized items is key to a comprehensive model of memory.

Purpose of the Study:

  • To investigate source memory for words classified as 'new' during a recognition test.
  • To examine the influence of response bias, manipulated by varying the proportion of old items, on source memory for unrecognized words.
  • To evaluate the predictive power of a multivariate signal detection model for recognition and source memory.

Main Methods:

  • Three experiments were conducted using word recognition tasks.
  • Participants provided source memory judgments for words they did not recognize as old.
  • Response bias was manipulated by informing participants that 25% or 75% of test words were old.

Main Results:

  • Participants accurately recalled the source of unrecognized words across experiments.
  • Unrecognized source memory was present under conservative responding (25% old items) but absent under liberal responding (75% old items).
  • A multivariate signal detection model accurately predicted the observed patterns of recognition and source memory.

Conclusions:

  • Source memory for unrecognized items is demonstrable and sensitive to response biases in recognition.
  • The findings support a signal detection framework that integrates item and source memory processes.
  • Cognitive strategies, such as cautious responding, can enhance the retrieval of contextual details even for forgotten items.