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 Experiment Videos

An interactive 24-channel event-logging system based on the AIM 65 single-board microcomputer.

S R Thomas, M Grimwood, S D Iversen

    Neuropharmacology
    |June 1, 1984
    PubMed
    Summary
    This summary is machine-generated.

    Related Concept Videos

    You might also read

    Related Articles

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

    Sort by
    Same author

    MAPK/ERK2 phosphorylates ERG at serine 283 in leukemic cells and promotes stem cell signatures and cell proliferation.

    Leukemia·2016
    Same author

    PRKACA mediates resistance to HER2-targeted therapy in breast cancer cells and restores anti-apoptotic signaling.

    Oncogene·2014
    Same author

    Is it possible to model psychotic states in animals?

    Journal of psychopharmacology (Oxford, England)·2011
    Same author

    PAK1 is a breast cancer oncogene that coordinately activates MAPK and MET signaling.

    Oncogene·2011
    Same author

    Crossmodal identification.

    Trends in cognitive sciences·2011
    Same author

    Hypoxia regulates the production and activity of glucose transporter-1 and indoleamine 2,3-dioxygenase in monocyte-derived endothelial-like cells: possible relevance to infantile haemangioma pathogenesis.

    The British journal of dermatology·2010

    An automated event-logging system was developed for animal behavior studies. This reliable and accurate microcomputer-based system simplifies repetitive behavioral event counting in experiments.

    Area of Science:

    • Ethology
    • Biotechnology
    • Computer Science

    Background:

    • Animal behavior research often requires meticulous counting of behavioral events.
    • Manual logging is time-consuming and prone to errors.
    • Automated systems can improve efficiency and accuracy in behavioral studies.

    Purpose of the Study:

    • To design and implement an automated event-logging system for animal behavior research.
    • To provide a reliable and accurate method for recording behavioral events.
    • To enhance experimental efficiency in ethological studies.

    Main Methods:

    • Development of a microcomputer-based system using an AIM 65 microcomputer.
    • Implementation of a control program in 6500 machine code stored in ROM.

    Related Experiment Videos

  • Inclusion of manual (keyboard) and automatic (signal-conditioning buffer) logging capabilities.
  • Software features interactive dialogue for mode selection, channel configuration, logging cycles, and output options.
  • Main Results:

    • The system demonstrated reliability and accuracy over 18 months of use in numerous experiments.
    • It successfully automated the repetitive counting of behavioral events.
    • The system proved entirely suited for its intended application in animal behavior research.

    Conclusions:

    • The developed automated event-logging system is a valuable tool for animal behavior research.
    • It offers a reliable, accurate, and efficient alternative to manual logging methods.
    • The system's design facilitates flexible experimental setups and data acquisition.