Related Experiment Video
Updated: Jan 30, 2026
06:58
Behavioral Tasks for Examining Identity Recognition In Mice
Published on: February 7, 2025
1.2K
Task effects determine whether recognition memory is mediated discretely or continuously
Ryan M McAdoo1, Kylie N Key2, Scott D Gronlund2
1Department of Psychology, University of Oklahoma, 455 W. Lindsey Street, Norman, OK, 73019, USA. Ryan.M.McAdoo-1@ou.edu.
Memory & Cognition
|January 29, 2019
Summary
Recognition memory can be mediated by discrete or continuous evidence. The specific type of evidence used depends on the recognition task, suggesting a flexible control process in memory.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Human Memory
Background:
- Decades of research have focused on how recognition memory is mediated.
- A prevailing view implicated continuous evidence mediation.
- Recent studies challenged this consensus, proposing dual evidence types.
Purpose of the Study:
- To investigate if different recognition tasks are mediated by different types of evidence.
- To expand on prior findings regarding discrete vs. continuous evidence in memory.
- To explore the role of control processes in mediating evidence selection.
Main Methods:
- Comparison of evidence mediation across two distinct recognition memory tasks: a ranking task and a confidence-rating task.
- Analysis of behavioral data to infer the underlying memory processes.
- Application of theoretical frameworks on control processes and efficiency.
Main Results:
- Recognition memory was mediated by continuous evidence in a ranking task.
- Recognition memory was mediated by discrete evidence in a confidence-rating task.
- Findings indicate task-dependent mediation of recognition memory.
Conclusions:
- Different recognition tasks can indeed be mediated by different types of evidence (discrete or continuous).
- Participants appear to employ a control process that flexibly selects evidence based on task demands and efficiency.
- This research refines our understanding of the mechanisms underlying recognition memory.
Related Concept Videos
01:24BIBO stability of continuous and discrete -time systems
918
System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system....
918
01:15Discrete Fourier Transform
897
The Discrete Fourier Transform (DFT) is a fundamental tool in signal processing, extending the discrete-time Fourier transform by evaluating discrete signals at uniformly spaced frequency intervals. This transformation converts a finite sequence of time-domain samples into frequency components, each representing complex sinusoids ordered by frequency. The DFT translates these sequences into the frequency domain, effectively indicating the magnitude and phase of each frequency component present...
897
01:26Discrete-time Fourier transform
1.1K
The Discrete-Time Fourier Transform (DTFT) is an essential mathematical tool for analyzing discrete-time signals, converting them from the time domain to the frequency domain. This transformation allows for examining the frequency components of discrete signals, providing insights into their spectral characteristics. In the DTFT, the continuous integral used in the continuous-time Fourier transform is replaced by a summation to accommodate the discrete nature of the signal.
One of the notable...
One of the notable...
1.1K
01:16Basic Discrete Time Signals
709
The unit step sequence is defined as 1 for zero and positive values of the integer n. This sequence can be graphically displayed using a set of eight sample points, showing a step function starting from n=0 and remaining constant thereafter.
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is the...
The unit impulse or sample sequence is mathematically expressed as zero for all n values except at n=0, where it is one. The unit impulse sequence, denoted by δ(n), is the first difference of the unit step sequence, while the unit step sequence u(n) is the...
709
01:20Discrete-Time Fourier Series
680
The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
For a discrete-time periodic signal x[n]...
For a discrete-time periodic signal x[n]...
680
01:23System of Memory
7.3K
Memory is categorized into three major systems: sensory memory, short-term memory (STM), and long-term memory (LTM). These systems differ in their capacity and the duration for which they can hold information. Sensory memory captures raw sensory input from the environment, holding it for just a few seconds or less. For example, on hearing a brief, loud sound, like a car horn honking, the sound seems to linger in the mind for a moment even after it stops. This is an instance of sensory memory...
7.3K