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

Statically Indeterminate Problem Solving01:16

Statically Indeterminate Problem Solving

Statically indeterminate problems are those where statics alone can not determine the internal forces or reactions. Consider a structure comprising two cylindrical rods made of steel and brass. These rods are joined at point B and restrained by rigid supports at points A and C. Now, the reactions at points A and C and the deflection at point B are to be determined. This rod structure is classified as statically indeterminate as the structure has more supports than are necessary for maintaining...
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of the problem,...
Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
Transduction01:16

Transduction

Among the three main modes of HGT—transformation, conjugation, and transduction—transduction is unique in that it is mediated by bacteriophages, or bacterial viruses.Transduction occurs in two ways. Generalized transduction occurs during the lytic cycle of a bacteriophage infection. In this process, bacteriophages infect bacterial cells, replicate within them, and ultimately cause cell lysis, releasing newly assembled virions. Occasionally, random fragments of the bacterial genome are...
Machines: Problem Solving II01:30

Machines: Problem Solving II

Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.

You might also read

Related Articles

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

Sort by
Same author

Turing universal neural networks do not require global clocks.

Nature communications·2026
Same author

Neuromodulators Generate Multiple Context-Relevant Behaviors in Recurrent Neural Networks.

Neural computation·2026
Same author

Navigating the unknown: Leveraging self-information and diversity in partially observable environments.

Biochemical and biophysical research communications·2024
Same author

Meta-Analytic Operation of Threshold-independent Filtering (MOTiF) reveals sub-threshold genomic robustness in trisomy: The Jörmungandr Effect.

Biochemical and biophysical research communications·2024
Same author

miR-9 utilizes precursor pathways in adaptation to alcohol in mouse striatal neurons.

Advances in drug and alcohol research·2023
Same author

Gibbs Energy and Gene Expression Combined as a New Technique for Selecting Drug Targets for Inhibiting Specific Protein-Protein Interactions.

International journal of molecular sciences·2023
Same journal

Mathematical Frameworks for Left Ventricular Assist Device Therapy: Ventricular Mechanics, Blood Rheology, Haemodynamics, Control, and Nonlinear Dynamics.

Progress in biophysics and molecular biology·2026
Same journal

Biological functions of BAF57, its role in disease pathogenesis, and treatment: From molecular mechanisms to clinical translation.

Progress in biophysics and molecular biology·2026
Same journal

Photonics-integrated and AI-enhanced medical sensing: From molecular diagnostics to real-time cell therapy monitoring.

Progress in biophysics and molecular biology·2026
Same journal

Uncovering the Biological Mechanisms of TREM2 with Molecular Simulations: A Comprehensive Review and Perspective.

Progress in biophysics and molecular biology·2026
Same journal

Advances in artificial joint testing driven by in situ mechanical characterization: From permeability of porous structures to dynamic wear monitoring.

Progress in biophysics and molecular biology·2026
Same journal

Proteostasis-driven redox adaptation in ferroptosis: the p62-Keap1-Nrf2 axis.

Progress in biophysics and molecular biology·2026
See all related articles

Related Experiment Video

Updated: May 12, 2026

Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal
06:45

Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal

Published on: April 18, 2017

Turing on Super-Turing and adaptivity.

Hava T Siegelmann1

  • 1BINDS lab, Dept. of Computer Science, Prog. of Neuroscience and Behavior, UMass Amherst, Amherst, MA 01002, United States.

Progress in Biophysics and Molecular Biology
|April 16, 2013
PubMed
Summary
This summary is machine-generated.

Living organisms exhibit adaptation and learning, which traditional Turing computation cannot model. The Super-Turing model offers a new computational framework for understanding these biological processes.

Keywords:
Adaptive computationBiological computationSuper-Turing computation

More Related Videos

One Dimensional Turing-Like Handshake Test for Motor Intelligence
14:05

One Dimensional Turing-Like Handshake Test for Motor Intelligence

Published on: December 15, 2010

Related Experiment Videos

Last Updated: May 12, 2026

Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal
06:45

Task Interruption and Resumption Paradigm for Testing the Activation and Pursuit of an Abstract Thinking Goal

Published on: April 18, 2017

One Dimensional Turing-Like Handshake Test for Motor Intelligence
14:05

One Dimensional Turing-Like Handshake Test for Motor Intelligence

Published on: December 15, 2010

Area of Science:

  • Theoretical computer science
  • Computational biology
  • Philosophy of computation

Background:

  • Biological systems demonstrate adaptation, choice, and learning, key characteristics absent in standard Turing computation.
  • Current computational models of biological systems may be fundamentally limited due to their reliance on traditional computation.

Purpose of the Study:

  • To explore alternative computational models that can account for adaptive and learning behaviors in biological systems.
  • To propose the Super-Turing model as a potential solution for modeling biological computation.

Main Methods:

  • Conceptual analysis comparing Turing computation with biological adaptability.
  • Theoretical exploration of the Super-Turing model's capabilities for adaptive computation.

Main Results:

  • Turing computation is inherently limited in its ability to model adaptive biological processes.
  • The Super-Turing model provides a framework capable of adaptive computation, aligning with biological functionalities.

Conclusions:

  • The Universal Turing Machine is insufficient for fully capturing the computational nature of living organisms.
  • The Super-Turing model presents a promising avenue for a more accurate computational understanding of biology and may fulfill Alan Turing's search for a universal computational model.