Related Experiment Video

Updated: Jun 26, 2025

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

26.8K

A Continuous Time Dynamical Turing Machine

Claire M Postlethwaite, Peter Ashwin, Matthew Egbert

    IEEE Transactions on Neural Networks and Learning Systems
    |May 16, 2024
    PubMed

    More Related Videos

    RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans11:09

    RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans

    Published on: July 17, 2021

    3.0K
    DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation09:26

    DNA-Tethered RNA Polymerase for Programmable In vitro Transcription and Molecular Computation

    Published on: December 29, 2021

    4.2K

    Related Concept Videos

    Simplified Synchronous Machine Model01:30

    Simplified Synchronous Machine Model

    The Synchronous Machine Model is a fundamental tool in analyzing and ensuring the transient stability of power systems. This model simplifies the representation of a synchronous machine under balanced three-phase positive-sequence conditions, assuming constant excitation and ignoring losses and saturation. The model is pivotal for understanding the behavior of synchronous generators connected to a power grid, particularly during transient events.
    In this model, each generator is connected to a...
    215
    Classification of Systems-II01:31

    Classification of Systems-II

    Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
    140
    Linear time-invariant Systems01:23

    Linear time-invariant Systems

    A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
    The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
    252
    Basic Continuous Time Signals01:22

    Basic Continuous Time Signals

    Basic continuous-time signals include the unit step function, unit impulse function, and unit ramp function, collectively referred to as singularity functions. Singularity functions are characterized by discontinuities or discontinuous derivatives.
    The unit step function, denoted u(t), is zero for negative time values and one for positive time values, exhibiting a discontinuity at t=0. This function often represents abrupt changes, such as the step voltage introduced when turning a car's...
    208
    Multimachine Stability01:25

    Multimachine Stability

    Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
    In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
    151
    Discrete-Time Fourier Series01:20

    Discrete-Time Fourier Series

    The Discrete-Time Fourier Series (DTFS) is a fundamental concept in signal processing, serving as the discrete-time counterpart to the continuous-time Fourier series. It allows for the representation and analysis of discrete-time periodic signals in terms of their frequency components. Unlike its continuous counterpart, which utilizes integrals, the calculation of DTFS expansion coefficients involves summations due to the discrete nature of the signal.
    For a discrete-time periodic signal x[n]...
    255