Can we measure memes?

Adam McNamara1

  • 1Department of Psychology, University of Surrey Surrey, UK.

Insights

Memes, the units of cultural evolution, can be studied in cognitive neuroscience. This paper proposes a framework for measuring internal memes (i-memes) and external memes (e-memes) using neuroimaging.

Area of Science:

  • Cognitive Neuroscience
  • Cultural Evolution
  • Neuroimaging

Background:

  • Memes are central to cultural evolution but often excluded from cognitive neuroscience due to measurement challenges.
  • Previous research has not adequately defined memes, leading to their conflation with simpler concepts like stimuli or learned associations.

Purpose of the Study:

  • To propose a framework for studying memes within cognitive neuroscience.
  • To define memes as internally represented (i-memes) or externally represented (e-memes).
  • To argue for the feasibility of neuroimaging memes and their evolution.

Main Methods:

  • Defining memes as internal (neural substrate) or external (environmental) representations.
  • Proposing the use of advanced neuroimaging techniques.
  • Focusing on imaging the connectivity profiles of i-memes and tracking their changes over time.

Main Results:

  • Neuroimaging technology is sufficiently advanced to study the neural substrates of meme initiation and replication.
  • It is possible to measure changes in i-memes, observing their evolution.
  • The proposed framework allows for controlled experiments on meme dynamics.

Conclusions:

  • Memes are measurable entities crucial for understanding cultural evolution.
  • The proposed i-meme/e-meme distinction and neuroimaging methods enable scientific study.
  • This research challenges the simplistic view of memes as mere stimuli or learned associations.

Related Concept Videos

Nonconscious Mimicry01:13

Nonconscious Mimicry

Nonconscious mimicry occurs when individuals alter their mannerisms to match the behaviors and expressions of those nearby, without intention.
Microbial Growth Measurement: Indirect Methods01:27

Microbial Growth Measurement: Indirect Methods

Estimating microbial growth is essential for understanding population dynamics and environmental adaptations. Indirect methods provide valuable insights by measuring parameters such as turbidity, metabolic activity, and biomass, enabling efficient and reproducible assessments.During exponential growth, microbial cells scatter light proportionally to their biomass, a principle used in turbidity measurements. About one million cells per milliliter produce detectable scattering, which a...
Nominal Level of Measurement00:56

Nominal Level of Measurement

The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. Not every statistical operation can be used with every set of data. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
The data that cannot be measured but can be grouped into categories fall under the nominal level of measurement. Data that is measured using a nominal scale is...
Measures of Central Tendency02:16

Measures of Central Tendency

The "center" of a data set is also a way of describing location. The two most widely used measures of the "center" of the data are the mean (average) and the median. The words "mean" and "average" are often used interchangeably. The substitution of one word for the other is common practice. The technical term is "arithmetic mean" and "average" is technically a center location. However, in practice among non-statisticians, "average" is commonly accepted for "arithmetic mean."
Methods to Assess Microbial Populations01:30

Methods to Assess Microbial Populations

Assessing microbial populations is crucial for understanding microbial roles in health, ecology, and industry. Various complementary techniques—both culture-based and molecular—enable detailed analysis of microbial abundance, diversity, and function.Viable Plate CountThe viable plate count is a traditional culture-based method used to estimate the number of living microbes in a sample. After serial dilution, the sample is spread onto nutrient agar plates. Each viable cell forms a visible...
Microbial Growth Measurement: Direct Methods01:23

Microbial Growth Measurement: Direct Methods

Direct methods for measuring microbial populations in a culture are essential tools in microbiology, providing quantitative data for various applications. Among these, microscopic counts, plate counts, and serial dilution are widely used techniques, each with unique principles and applications.Microscopic CountsMicroscopic counting involves the use of a Petroff-Hausser chamber, a specialized microscope slide with a grid and defined depth. By observing a liquid culture under a microscope,...