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

Information processing in a neuron ensemble with the multiplicative correlation structure.

Si Wu1, Shun-ichi Amari, Hiroyuki Nakahara

  • 1Department of Informatics, Sussex University, Brighton, BN1 9QH UK. siwu@cogs.susx.ac.uk

Neural Networks : the Official Journal of the International Neural Network Society
|March 24, 2004
PubMed
Summary

This study analyzes neural population codes with multiplicative noise, finding that decoding accuracy depends on both neural tuning and noise structure. Different decoding strategies are compared for efficiency and precision.

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

Decision-Making with Predictions of Others' Likely and Unlikely Choices in the Human Brain.

The Journal of neuroscience : the official journal of the Society for Neuroscience·2024
Same author

Biodegradation Mechanism of Polystyrene by Mealworms (<i>Tenebrio molitor</i>) and Nutrients Influencing Their Growth.

Polymers·2024
Same author

Deep learning in random neural fields: Numerical experiments via neural tangent kernel.

Neural networks : the official journal of the International Neural Network Society·2023
Same author

Separation methods in single-cell proteomics: RPLC or CE?

International journal of mass spectrometry·2022
Same author

Floral organ transcriptome in Camellia sasanqua provided insight into stamen petaloid.

BMC plant biology·2022
Same author

Evaluation and validation of reference genes in <i>Cymbidium faberi</i> for real-time quantitative PCR.

BioTechniques·2022

Area of Science:

  • Computational Neuroscience
  • Information Theory

Background:

  • Neural population codes are crucial for brain function.
  • Understanding noise impact on neural coding is essential.

Purpose of the Study:

  • Investigate population code performance under multiplicative noise.
  • Analyze Fisher information decomposition.
  • Compare maximum likelihood decoding strategies.

Main Methods:

  • Utilized a neural field model.
  • Calculated Fisher information.
  • Decomposed information into tuning/correlation and multiplicative structure components.
  • Evaluated decoding accuracy and computational complexity of three methods.

Main Results:

Related Experiment Videos

  • Multiplicative noise significantly impacts population code performance.
  • Fisher information can be attributed to tuning, spatial correlation, and multiplicative structure.
  • Decoding strategy choice affects accuracy and computational load.

Conclusions:

  • The interplay between neural tuning, spatial correlations, and multiplicative noise dictates coding efficiency.
  • Optimal decoding requires considering both model fidelity and computational cost.