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 Videos

Metabolically efficient information processing.

V Balasubramanian1, D Kimber, M J Berry

  • 1Jefferson Laboratory of Physics, Harvard University, Cambridge, MA 02138, USA.

Neural Computation
|March 20, 2001
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

High-throughput virome profiling reveals squash vein yellowing virus in bottle gourd and cucumber in India.

3 Biotech·2026
Same author

Experimental modeling and multi-objective optimization of Micro Arc Oxidation process parameters of aluminium alloy joints.

Scientific reports·2026
Same author

Structural interactions of BWC0977 with Klebsiella pneumoniae topoisomerase IV and biochemical basis of its broad-spectrum activity.

Communications biology·2025
Same author

Unveiling host-virus-vector interaction and latency phenomenon of banana bunchy top virus (BBTV) infecting banana.

Physiology and molecular biology of plants : an international journal of functional plant biology·2025
Same author

A selenomethionine deficient, high-fructose diet does not lead to cardiometabolic disorder in the selenocysteine lyase knockout mice.

Journal of trace elements in medicine and biology : organ of the Society for Minerals and Trace Elements (GMS)·2025
Same author

Natural occurrence of episomal banana streak GF virus species infecting the GI-tagged banana cv. Virupakshi in India.

Physiology and molecular biology of plants : an international journal of functional plant biology·2025
Same journal

A Model-Free Reinforcement Learning Implementation of Decision Making Under Uncertainty by Sequential Sampling.

Neural computation·2026
Same journal

DROP: Distributional and Regular Optimism and Pessimism for Reinforcement Learning.

Neural computation·2026
Same journal

Hierarchical Active Inference Using Successor Representations.

Neural computation·2026
Same journal

W-Kernel and Its Principal Space for Frequentist Evaluation of Bayesian Estimators.

Neural computation·2026
Same journal

A Hidden Markov Model-Inspired Sequence Classification Method for Hyperdimensional Computing.

Neural computation·2026
Same journal

Sparse Graphical Modeling for Electrophysiological Phase-Based Connectivity Using Circular Statistics.

Neural computation·2026
See all related articles

This study explores energy-efficient information transmission for biological systems and electronics. Optimal coding strategies depend on whether the goal is maximizing information rate or efficiency, with noise significantly impacting results.

Area of Science:

  • Information theory
  • Computational neuroscience
  • Low-power electronics

Background:

  • Energy efficiency is crucial for biological sensory processing and electronic devices.
  • Two distinct regimes for energy-efficient information transmission are identified: immediate and exploratory.
  • Understanding optimal coding under power constraints is essential for both natural and artificial systems.

Purpose of the Study:

  • To investigate energy-efficient information transmission strategies.
  • To analyze optimal coding in the presence and absence of noise.
  • To explore the applicability of these principles to neurobiological systems.

Main Methods:

  • Analysis of information rate maximization under power constraints (immediate regime).

Related Experiment Videos

  • Maximization of transmission rate per unit power cost (exploratory regime).
  • Application of a generalized Arimoto-Blahut algorithm for cost-constrained coding with noise.

    • Main Results:

    • In noise-free conditions, optimal encoding uses Boltzmann distributed output symbols.
    • In the exploratory regime without noise, the partition function numerically equals 1.
    • Transmission channel noise significantly alters the structure of optimal codes.

    Conclusions:

    • Energy-efficient coding strategies are regime-dependent and sensitive to noise.
    • Generalized algorithms can derive optimal distributions for energy-efficient coding.
    • Findings offer insights into information processing in biological neural systems and electronic devices.