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

State Space Representation01:27

State Space Representation

The frequency-domain technique, commonly used in analyzing and designing feedback control systems, is effective for linear, time-invariant systems. However, it falls short when dealing with nonlinear, time-varying, and multiple-input multiple-output systems. The time-domain or state-space approach addresses these limitations by utilizing state variables to construct simultaneous, first-order differential equations, known as state equations, for an nth-order system.
Consider an RLC circuit, a...
Indeterminate Structure01:18

Indeterminate Structure

Indeterminate structures refer to structures where internal forces and reactions cannot be determined using only the equations of static equilibrium.  Indeterminate structures have more unknown forces and reaction forces than equations of static equilibrium that can be used to determine them. Indeterminate structures are often used in engineering to create complex, efficient, and aesthetically pleasing structures. There are various types of indeterminate structures used in engineering and some...
Scale-Up Processes01:14

Scale-Up Processes

The scale-up of microbial fermentation processes is essential in industrial biotechnology, allowing the transition from laboratory-scale experiments to commercial-scale production while aiming to maintain product yield and quality. This process requires meticulous adjustment of equipment design, process parameters, and contamination control strategies to accommodate increasing culture volumes.At the laboratory scale, cultures are typically maintained in 1 to 10-liter glass or autoclavable...
Introduction to Structures01:30

Introduction to Structures

A structure is defined as a system of interconnected members designed to support or transfer forces and successfully withstand the loads acting on them. The internal forces of a structure can be determined by decomposing the structure and analyzing the free-body diagrams of the individual members or of a combination of members. This helps in understanding the structural elements' behavior and ensuring that the structure is stable and can withstand the subjected loads.
There are three main...
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Classification of Systems-I01:26

Classification of Systems-I

Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:

You might also read

Related Articles

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

Sort by
Same journal

Equity considerations in COVID-19 vaccine allocation modelling: a methodological study.

Interface focus·2025
Same journal

Ethical considerations in infectious disease modelling for public health policy: the case of school closures.

Interface focus·2025
Same journal

Why population heterogeneity matters for modelling infectious diseases.

Interface focus·2025
Same journal

Improving modelling for epidemic response: a progress update from a community of UK infectious disease modellers.

Interface focus·2025
Same journal

Optimization of school closures during an Omicron epidemic in Hong Kong: a modelling study.

Interface focus·2025
Same journal

Impact of opinion dynamics on recurrent pandemic waves: balancing risk aversion and peer pressure.

Interface focus·2025

Related Experiment Video

Updated: May 14, 2026

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

The large-scale structure of software-intensive systems.

Grady Booch1

  • 1IBM , 6533 West Prentice Avenue, Littleton, CO 80123 , USA.

Interface Focus
|February 7, 2013
PubMed
Summary
This summary is machine-generated.

Neuroscience often uses a naive computer metaphor. This study examines software systems

Keywords:
computer metaphorsoftware architecturesoftware-intensive system

More Related Videos

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

Related Experiment Videos

Last Updated: May 14, 2026

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

Area of Science:

  • Neuroscience
  • Computer Science
  • Philosophy of Mind

Background:

  • The computer metaphor is prevalent in neuroscience, yet its underlying semantics are often simplistic.
  • Existing discussions lack a rigorous examination of the ontological underpinnings of this metaphor.
  • Metaphysical questions regarding self and causation remain inadequately addressed within this framework.

Purpose of the Study:

  • To critically analyze the ontology of software-intensive systems.
  • To investigate the structural nature of these systems.
  • To explore the application of the computer metaphor to fundamental metaphysical concepts like self and causation.

Main Methods:

  • Ontological analysis of software-intensive systems.
  • Examination of system structure and properties.
  • Conceptual application of the computer metaphor to philosophical problems.

Main Results:

  • Identified naive semantic assumptions in the current computer metaphor used in neuroscience.
  • Detailed the ontological structure of software-intensive systems.
  • Demonstrated a novel framework for applying the computer metaphor to questions of self and causation.

Conclusions:

  • The computer metaphor in neuroscience requires a more sophisticated ontological and semantic foundation.
  • Understanding software-intensive systems offers a richer basis for exploring consciousness and causality.
  • This work provides a new perspective on the mind-as-computer analogy.