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 Video

Updated: Aug 28, 2025

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
09:23

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

Published on: August 16, 2017

8.2K

The Double-Sided Information Bottleneck Function.

Michael Dikshtein1, Or Ordentlich2, Shlomo Shamai Shitz1

  • 1Department of Electrical and Computer Engineering, Technion, Haifa 3200003, Israel.

Entropy (Basel, Switzerland)
|September 23, 2022
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

Interpreting ¹H NMR Signal Splitting: The (n + 1) Rule01:10

Interpreting ¹H NMR Signal Splitting: The (n + 1) Rule

1.4K
In the AX proton spin system, proton A can sense the two spin states of a coupled proton X, resulting in a doublet NMR signal with two peaks of equal (1:1) intensity. When proton A is coupled to two equivalent protons (AX2 spin system), the spin states of each X can be aligned with or against the external field, creating three possible scenarios. This results in a 1:2:1  triplet signal, where the central peak corresponds to the chemical shift of A and is twice as large or intense as the...
1.4K
Thevinin's Theorem01:15

Thevinin's Theorem

748
Thévenin's theorem plays a pivotal role in electrical circuit analysis, offering a solution to the challenges posed by variable loads within a circuit. In practical applications, it is common to encounter circuits where certain elements remain fixed while others fluctuate, often referred to as the "load." A typical household electrical outlet serves as a prime example of a variable load, as it can be connected to a variety of appliances, each with its own unique electrical...
748
Multi-pass Transmembrane Proteins and β-barrels01:09

Multi-pass Transmembrane Proteins and β-barrels

5.5K
In multi-pass transmembrane proteins, the polypeptide chain crosses the membrane more than once. The transmembrane polypeptide chain either forms an α-helix or β-strand structure. α-Helix containing multi-pass transmembrane proteins are ubiquitous, whereas β-strand containing ones are mainly found in gram-negative bacteria, mitochondria, and chloroplasts.
α-Helix containing multi-pass transmembrane proteins
Multi-pass transmembrane proteins such as...
5.5K
Buffer Effectiveness02:19

Buffer Effectiveness

49.5K
Buffer solutions do not have an unlimited capacity to keep the pH relatively constant . Instead, the ability of a buffer solution to resist changes in pH relies on the presence of appreciable amounts of its conjugate weak acid-base pair. When enough strong acid or base is added to substantially lower the concentration of either member of the buffer pair, the buffering action within the solution is compromised.
The buffer capacity is the amount of acid or base that can be added to a given volume...
49.5K
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

6.8K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
6.8K
Framing Effects03:26

Framing Effects

7.5K
Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
7.5K

You might also read

Related Articles

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

Sort by
Same author

Geometry-Based Bounds on the Capacity of Peak-Limited and Band-Limited Signals over the Additive White Gaussian Noise Channel at a High SNR.

Entropy (Basel, Switzerland)·2025
Same author

Exploring ISAC: Information-Theoretic Insights.

Entropy (Basel, Switzerland)·2025
Same author

Broadcast Channel Cooperative Gain: An Operational Interpretation of Partial Information Decomposition.

Entropy (Basel, Switzerland)·2025
Same author

On the Capacity of the Peak-Limited and Band-Limited Channel.

Entropy (Basel, Switzerland)·2025
Same author

Broadcast Approach to Uplink NOMA: Queuing Delay Analysis.

Entropy (Basel, Switzerland)·2022
Same author

An Information-Theoretic View of Mixed-Delay Traffic in 5G and 6G.

Entropy (Basel, Switzerland)·2022

This study explores a double-sided information bottleneck method, optimizing independent channels for data transmission. It finds Gaussian and binary symmetric channels are optimal only under specific conditions, not universally.

Area of Science:

  • Information Theory
  • Machine Learning
  • Signal Processing

Background:

  • The information bottleneck method is a powerful tool for dimensionality reduction.
  • Understanding optimal channel selection is crucial for efficient data compression and transmission.
  • The double-sided variant introduces complexities in optimizing independent channels.

Purpose of the Study:

  • To investigate a double-sided information bottleneck method for optimizing independent channels.
  • To determine the optimality of specific channel types (Gaussian, binary symmetric) under varying signal-to-noise ratios (SNR) and correlations.
  • To develop and evaluate an algorithm for solving this optimization problem.

Main Methods:

  • Formulation of a double-sided information bottleneck problem with constraints on mutual information.
Keywords:
biclusteringinformation bottlenecklossy compressionremote source coding

More Related Videos

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

10.9K
How to Create and Use Binocular Rivalry
14:34

How to Create and Use Binocular Rivalry

Published on: November 10, 2010

75.6K

Related Experiment Videos

Last Updated: Aug 28, 2025

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans
09:23

Quantification of Information Encoded by Gene Expression Levels During Lifespan Modulation Under Broad-range Dietary Restriction in C. elegans

Published on: August 16, 2017

8.2K
Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

10.9K
How to Create and Use Binocular Rivalry
14:34

How to Create and Use Binocular Rivalry

Published on: November 10, 2010

75.6K
  • Analysis of jointly Gaussian and doubly symmetric binary sources.
  • Application of a Blahut-Arimoto type alternating maximization algorithm.
  • Numerical evaluation for specific settings and correlations.

    • Main Results:

    • Gaussian channels are optimal for jointly Gaussian sources only in the low-SNR regime.
    • Binary symmetric channels are optimal for doubly symmetric binary sources at low correlations but suboptimal at high correlations.
    • Conjecture that Z and S channels are optimal for a correlation of 1 (X=Y), supported by numerical evidence.
    • Demonstration of the algorithm's performance.

    Conclusions:

    • The optimality of specific channel types is highly dependent on source characteristics (SNR, correlation).
    • The proposed algorithm provides a practical approach to solving the double-sided information bottleneck problem.
    • Findings have implications for data compression, communication systems, and biclustering techniques.