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

Stable and rapid recurrent processing in realistic autoassociative memories

F P Battaglia1, A Treves

  • 1SISSA-Cognitive Neuroscience, Trieste, Italy.

Neural Computation
|February 24, 1998
PubMed
Summary

This study resolves a conflict in autoassociative memory networks. Multiplicative inhibition allows stable retrieval of many memory patterns, overcoming storage capacity limitations.

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

Rat anterior cingulate neurons responsive to rule or strategy changes are modulated by the hippocampal theta rhythm and sharp-wave ripples.

The European journal of neuroscience·2024
Same author

Gold-standard experiments to deter predators from attacking farm animals.

Animal frontiers : the review magazine of animal agriculture·2024
Same author

Thalamo-hippocampal pathway regulates incidental memory capacity in mice.

Nature communications·2022
Same author

Trophy hunting: Insufficient evidence.

Science (New York, N.Y.)·2019
Same author

Black hole physics. Black hole lightning due to particle acceleration at subhorizon scales.

Science (New York, N.Y.)·2014
Same author

Closed-loop optical neural stimulation based on a 32-channel low-noise recording system with online spike sorting.

Journal of neural engineering·2014

Area of Science:

  • Computational neuroscience
  • Artificial intelligence
  • Memory systems

Background:

  • Autoassociative memory networks face a conflict between stability and storage capacity.
  • Recurrent collateral connections are used for learning multiple activity patterns.

Purpose of the Study:

  • To investigate the conflict between dynamical stability and storage capacity in autoassociative memories.
  • To explore how networks can retrieve multiple memory patterns despite this conflict.

Main Methods:

  • Analytical investigation of network dynamics.
  • Simulations using a model network with integrate-and-fire units.
  • Analysis of synaptic conductance inactivation and neuronal time constants.

Main Results:

  • A fundamental conflict exists between dynamical stability and storage capacity in autoassociative memories.
  • Multiplicative inhibition enables retrieval of numerous memory patterns, aligning with non-dynamical predictions.
  • Simulations confirm this solution and reveal retrieval time is linked to synaptic inactivation, not neuronal firing levels.

Conclusions:

  • Multiplicative inhibition offers a realistic solution to the stability-capacity conflict in autoassociative memory networks.
  • Cued memory retrieval follows an exponential time course, dependent on synaptic properties.

Related Experiment Videos