Related Experiment Video

Updated: Feb 17, 2026

Automating Aggregate Quantification in Caenorhabditis elegans
07:50

Automating Aggregate Quantification in Caenorhabditis elegans

Published on: October 14, 2021

3.3K

Computing aggregate properties of preimages for 2D cellular automata

Randall D Beer1

  • 1Cognitive Science Program, Indiana University, Bloomington, Indiana 47406, USA.

Chaos (Woodbury, N.Y.)
|December 3, 2017
PubMed

More Related Videos

Fabrication of a Multiplexed Artificial Cellular MicroEnvironment Array07:19

Fabrication of a Multiplexed Artificial Cellular MicroEnvironment Array

Published on: September 7, 2018

9.1K
Generation of Aggregates of Mouse Embryonic Stem Cells that Show Symmetry Breaking, Polarization and Emergent Collective Behaviour In Vitro11:37

Generation of Aggregates of Mouse Embryonic Stem Cells that Show Symmetry Breaking, Polarization and Emergent Collective Behaviour In Vitro

Published on: November 24, 2015

18.6K

Related Concept Videos

Convolution Properties I01:20

Convolution Properties I

Convolution computations can be simplified by utilizing their inherent properties.
The commutative property reveals that the input and the impulse response of an LTI (Linear Time-Invariant) system can be interchanged without affecting the output:
627
Convolution: Math, Graphics, and Discrete Signals01:24

Convolution: Math, Graphics, and Discrete Signals

In any LTI (Linear Time-Invariant) system, the convolution of two signals is denoted using a convolution operator, assuming all initial conditions are zero. The convolution integral can be divided into two parts: the zero-input or natural response and the zero-state or forced response, with t0 indicating the initial time.
To simplify the convolution integral, it is assumed that both the input signal and impulse response are zero for negative time values. The graphical convolution process...
990
Properties of the z-Transform II01:16

Properties of the z-Transform II

The property of Accumulation in signal processing is derived by analyzing the accumulated sum of a discrete-time signal and using the time-shifting property to determine its z-transform. This principle reveals that the z-transform of the summed signal is related to the z-transform of the original signal by a multiplicative factor.
Moreover, the convolution property indicates that the convolution of two signals in the time domain corresponds to the product of their z-transforms in the frequency...
442