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

Singularities in primate orientation maps

K Obermayer1, G G Blasdel

  • 1Fachbereich Informatik, TU Berlin, Germany.

Neural Computation
|April 1, 1997
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

Neural systems for choice and valuation with counterfactual learning signals.

NeuroImage·2013
Same author

The effect of novelty on reinforcement learning.

Progress in brain research·2013
Same author

Neurotransmitter systems in alcohol dependence.

Pharmacopsychiatry·2009
Same author

Synergistic effects of the dopaminergic and glutamatergic system on hippocampal volume in alcohol-dependent patients.

Biological psychology·2008
Same author

Soft nearest prototype classification.

IEEE transactions on neural networks·2008
Same author

Activity driven adaptive stochastic resonance.

Physical review letters·2003
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

Orientation maps in primate brains show non-random singularity distributions, with 80% of nearest neighbors having opposite signs. Current models partially explain these patterns but do not fully capture the complex structure of orientation maps.

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Primate Visual Cortex

Background:

  • Orientation maps in the primate striate cortex are crucial for visual processing.
  • Understanding the spatial distribution and properties of singularities within these maps is key to deciphering their underlying organization.

Purpose of the Study:

  • To analyze the distribution and characteristics of singularities in primate striate cortex orientation maps.
  • To compare these maps with existing computational models.

Main Methods:

  • Analysis of orientation maps from squirrel monkeys and macaques of various ages.
  • Statistical examination of singularity distribution and nearest-neighbor properties.
  • Comparison of empirical data with bandpass-filtered white noise and field analogy models.

Related Experiment Videos

Main Results:

  • Approximately 80% of neighboring singularities exhibit opposite signs.
  • The spatial distribution of singularities deviates significantly from random patterns.
  • Orientation maps show similarities across different animals and ages, with variations in band alignment and repetition periods.
  • Bandpass-filtered white noise models explain overall structure and singularity sign correlations.
  • Field analogy models explain local patch structures but not the entire map.

Conclusions:

  • Primate orientation maps possess non-random structural features related to singularities.
  • Current models offer partial explanations but do not fully account for the observed map complexity.
  • Further research is needed to fully elucidate the organizational principles of orientation maps.