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

Pattern matching in a model of dendritic spines

K T Blackwell1, T P Vogl, D L Alkon

  • 1Environmental Research Institute of Michigan, Arlington, VA 22209, USA.

Network (Bristol, England)
|December 23, 1998
PubMed
Summary

Biological neurons exhibit pattern matching by enhancing responses to familiar inputs. A circuit model reveals linear spine interactions for learned patterns and nonlinear interactions for novel ones, enabling efficient neural network computation.

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

Heterogenous Distribution of Fluorescent Phorbol Ester Signal in Living Sea Urchin Embryos.

The Biological bulletin·2018
Same author

Calcium: amplitude, duration, or location?

The Biological bulletin·2015
Same author

Calcium-dependent inactivation of calcium channels in the medial striatum increases at eye opening.

Journal of neurophysiology·2015
Same author

Dynamic modulation of spike timing-dependent calcium influx during corticostriatal upstates.

Journal of neurophysiology·2013
Same author

Approaches and tools for modeling signaling pathways and calcium dynamics in neurons.

Journal of neuroscience methods·2013
Same author

PKC activator therapeutic for mild traumatic brain injury in mice.

Neurobiology of disease·2010

Area of Science:

  • Computational neuroscience
  • Artificial neural networks
  • Biophysics

Background:

  • Pattern matching is crucial for learning in biological systems.
  • Understanding neuronal mechanisms of pattern matching is essential.
  • Calcium-dependent potassium conductance plays a role in neuronal plasticity.

Purpose of the Study:

  • To investigate pattern matching properties in biological neurons.
  • To explore the role of calcium-dependent potassium conductance in dendritic computation.
  • To develop a biologically plausible and computationally efficient model of pattern matching.

Main Methods:

  • Development of a circuit model of a dendritic membrane with multiple spines.
  • Simulations of the circuit model under various synaptic input patterns.
  • Analysis of circuit model equations and derivation of 'similarity measure' equations.

Main Results:

  • Dendritic membrane depolarization is greater for learned patterns than novel ones.
  • Spine interactions are linear for similar input patterns and nonlinear for dissimilar ones.
  • Derived 'similarity measure' equations accurately reproduce circuit model output.

Conclusions:

  • The study presents a biologically plausible model for neuronal pattern matching.
  • The model's principles of spine interaction are computationally efficient.
  • The findings support the use of these principles in artificial neural networks.

Related Experiment Videos