Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Emergence of oscillations via spike timing dependent plasticity

Sarit Soloduchin, View ORCID ProfileMaoz Shamir
doi: https://doi.org/10.1101/269712
Sarit Soloduchin
1Department of Physics, Faculty of Natural Sciences, Ben-Gurion University of the Negev, Be’er-Sheva, Israel
2Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Be’er-Sheva, Israel
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Maoz Shamir
1Department of Physics, Faculty of Natural Sciences, Ben-Gurion University of the Negev, Be’er-Sheva, Israel
2Zlotowski Center for Neuroscience, Ben-Gurion University of the Negev, Be’er-Sheva, Israel
3Department of Physiology and Cell Biology, Faculty of Health Sciences, Ben-Gurion University of the Negev, Be’er-Sheva, Israel
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Maoz Shamir
  • For correspondence: shmaoz@bgu.ac.il
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Neuronal oscillatory activity has been reported in relation to a wide range of cognitive processes. In certain cases changes in oscillatory activity has been associated with pathological states. Although the specific role of these oscillations has yet to be determined, it is clear that neuronal oscillations are abundant in the central nervous system. These observations raise the question of the origin of these oscillations; and specifically whether the mechanisms responsible for the generation and stabilization of these oscillations are genetically hard-wired or whether they can be acquired via a learning process.

Here we focus on spike timing dependent plasticity (STDP) to investigate whether oscillatory activity can emerge in a neuronal network via an unsupervised learning process of STDP dynamics, and if so, what features of the STDP learning rule govern and stabilize the resultant oscillatory activity?

Here, the STDP dynamics of the effective coupling between two competing neuronal populations with reciprocal inhibitory connections was analyzed using the phase-diagram of the system that depicts the possible dynamical states of the network as a function of the effective inhibitory couplings. This phase diagram yields a rich repertoire of possible dynamical behaviors including regions of different fixed point solutions, bi-stability and a region in which the system exhibits oscillatory activity. STDP introduces dynamics for the inhibitory couplings themselves and hence induces a flow in the phase diagram. We investigate the conditions for the flow to converge to an oscillatory state of the neuronal network and then characterize how the features of the STDP rule govern and stabilize these oscillations.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
Back to top
PreviousNext
Posted February 22, 2018.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Emergence of oscillations via spike timing dependent plasticity
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Emergence of oscillations via spike timing dependent plasticity
Sarit Soloduchin, Maoz Shamir
bioRxiv 269712; doi: https://doi.org/10.1101/269712
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Emergence of oscillations via spike timing dependent plasticity
Sarit Soloduchin, Maoz Shamir
bioRxiv 269712; doi: https://doi.org/10.1101/269712

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (3592)
  • Biochemistry (7562)
  • Bioengineering (5508)
  • Bioinformatics (20762)
  • Biophysics (10309)
  • Cancer Biology (7967)
  • Cell Biology (11627)
  • Clinical Trials (138)
  • Developmental Biology (6602)
  • Ecology (10190)
  • Epidemiology (2065)
  • Evolutionary Biology (13594)
  • Genetics (9532)
  • Genomics (12834)
  • Immunology (7917)
  • Microbiology (19525)
  • Molecular Biology (7651)
  • Neuroscience (42027)
  • Paleontology (307)
  • Pathology (1254)
  • Pharmacology and Toxicology (2196)
  • Physiology (3263)
  • Plant Biology (7029)
  • Scientific Communication and Education (1294)
  • Synthetic Biology (1949)
  • Systems Biology (5422)
  • Zoology (1114)