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

Backward projections in the cerebral cortex: implications for memory storage.

A Renart1, N Parga, E T Rolls

  • 1Departamento de Fisica Teórica C-XI, Ciudad Universitaria de Cantoblanco, Madrid 28049, Spain.

Neural Computation
|July 29, 1999
PubMed
Summary

This study shows how interconnected brain modules store memories. Cooperation enhances memory capacity and aids retrieval, with global or local states depending on connection strength.

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

Brain mechanisms for invariant visual recognition and learning.

Behavioural processes·2014
Same author

Taste and olfactory status in a gourmand with a right amygdala lesion.

Neurocase·2013
Same author

Interference of Fano-Rashba conductance dips.

Journal of physics. Condensed matter : an Institute of Physics journal·2011
Same author

Taste, olfactory and food texture reward processing in the brain and obesity.

International journal of obesity (2005)·2010
Same author

Continuous transformation learning of translation invariant representations.

Experimental brain research·2010
Same author

Differential effects on self-stimulation and motor behaviour produced by microintracranial injections of a dopamine-receptor blocking agent.

Neuroscience letters·2009

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Statistical Physics

Background:

  • Cortical areas feature feedforward and feedback connections.
  • Pyramidal cells within areas have recurrent collateral connections.
  • These architectures are crucial for memory storage and processing.

Purpose of the Study:

  • To analyze the memory storage and processing capabilities of interconnected cortical modules.
  • To investigate the impact of Hebb-like synaptic modifiability and attractor states.
  • To quantitatively model memory capacity and retrieval dynamics.

Main Methods:

  • Analysis of neural network architecture with recurrent collateral connections.
  • Incorporation of Hebb-like synaptic plasticity and attractor dynamics.

Related Experiment Videos

  • Application of statistical physics techniques for quantitative analysis.

    • Main Results:

    • Memory capacity in connected modules is comparable to single modules and scales with connections per neuron.
    • Module cooperation slightly increases memory capacity and improves retrieval from noisy patterns.
    • Strong intermodule connections yield global memory states; weaker connections allow local states.
    • Clear boundaries exist between global, local retrieval, and non-retrieval states.

    Conclusions:

    • Interconnected cortical modules exhibit robust memory storage and retrieval properties.
    • Module cooperation and connection strength dynamically shape memory states.
    • Statistical physics provides a framework for understanding these complex neural dynamics.