Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

What is Variation?01:14

What is Variation?

Apart from the measures of central tendency, distribution, outliers, and the changing characteristics of data with time, an important characteristic of any data set is its variation or spread. In some data sets, the data values are concentrated closely near the mean; in others, the data values are more widely spread out from the mean.
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
Neural Circuits01:25

Neural Circuits

Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
Neural Regulation01:37

Neural Regulation

Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
Copy number variations or CNVs are the structural variations that cover more than 1kb of DNA sequence. The single nucleotide polymorphism (SNP), on the other hand, is a single nucleotide change or a point mutation that is found in more than 1%...
Genetic Variation01:25

Genetic Variation

Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles, which...
Neuronal Communication01:28

Neuronal Communication

Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Mapping the neuronal building blocks of human language with language models.

Nature·2026
Same author

The Integral Role of Nurses in Ensuring Well-Designed and Functional New Public Hospitals: A Qualitative Study.

International nursing review·2026
Same author

How do dialysis nurses and AI reason clinically? A scenario-based comparative study.

BMC nursing·2026
Same author

Qualitative insights into nurses' emotional and functional experiences in the 2023 military humanitarian mission to Turkey.

Israel journal of health policy research·2026
Same author

ManyFishes: a big team science collaboration on fish comparative cognition.

Animal cognition·2025
Same author

Building the connectome of a small brain with a simple stochastic developmental generative model.

Proceedings of the National Academy of Sciences of the United States of America·2025

Related Experiment Video

Updated: May 24, 2026

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

The natural variation of a neural code.

Yoav Kfir1, Ittai Renan, Elad Schneidman

  • 1Department of Biomedical Engineering, Ben-Gurion University of the Negev, Beer-Sheva, Israel.

Plos One
|March 20, 2012
PubMed
Summary

Neural codes in fly visual systems vary between blow flies and flesh flies, suggesting genetic regulation rather than environmental influence on information processing by the H1 neuron.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Animal Behavior

Background:

  • Information processing in the brain relies on the precise firing patterns of neurons, known as neural codes.
  • The neural code of a specific neuron is influenced by its intrinsic properties, circuit integration, and external inputs.
  • Individual variability in neural codes is observed, but the underlying mechanisms (genetic vs. environmental) are not fully understood.

Purpose of the Study:

  • To compare the neural codes of the H1 neuron in two distinct fly families: blow flies and flesh flies.
  • To investigate the impact of developmental sensory environment on the H1 neuron's neural code.
  • To determine whether observed differences in neural coding are genetically determined or shaped by experience.

Main Methods:

More Related Videos

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

Electrophysiological Method for Recording Intracellular Voltage Responses of Drosophila Photoreceptors and Interneurons to Light Stimuli In Vivo
11:42

Electrophysiological Method for Recording Intracellular Voltage Responses of Drosophila Photoreceptors and Interneurons to Light Stimuli In Vivo

Published on: June 19, 2016

Related Experiment Videos

Last Updated: May 24, 2026

Decoding Natural Behavior from Neuroethological Embedding
08:00

Decoding Natural Behavior from Neuroethological Embedding

Published on: October 3, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

Electrophysiological Method for Recording Intracellular Voltage Responses of Drosophila Photoreceptors and Interneurons to Light Stimuli In Vivo
11:42

Electrophysiological Method for Recording Intracellular Voltage Responses of Drosophila Photoreceptors and Interneurons to Light Stimuli In Vivo

Published on: June 19, 2016

  • Electrophysiological recordings were used to capture the activity of the H1 neuron in blow flies and flesh flies.
  • Comparative analysis of neural code properties, including temporal structure, content, energetic efficiency, and response delay.
  • Experimental manipulation of the developmental sensory environment to assess its influence on neural coding.
  • Main Results:

    • Significant differences were found between blow flies and flesh flies in the temporal structure, content, energetic efficiency, and response delay of the H1 neural code.
    • Developmental exposure to varying sensory environments did not produce significant alterations in the H1 neural code within either fly family.
    • The observed inter-family variations in neural coding persisted despite potential environmental influences during development.

    Conclusions:

    • The H1 neuron's neural code exhibits a family-specific design, indicating a strong genetic basis for its information processing characteristics.
    • Individual variability in the H1 neuron's code appears to be primarily regulated by genetic factors, not by developmental sensory experience.
    • These findings suggest that the fundamental structure and function of neural codes can be genetically hardwired.