Transitions between Spatial Attractors in Place-Cell Models

R. Monasson and S. Rosay
Phys. Rev. Lett. 115, 098101 – Published 28 August 2015
PDFHTMLExport Citation

Abstract

The spontaneous transitions between D-dimensional spatial maps in an attractor neural network are studied. Two scenarios for the transition from one map to another are found, depending on the level of noise: (i) through a mixed state, partly localized in both maps around positions where the maps are most similar, and (ii) through a weakly localized state in one of the two maps, followed by a condensation in the arrival map. Our predictions are confirmed by numerical simulations and qualitatively compared to recent recordings of hippocampal place cells during quick-environment-changing experiments in rats.

  • Figure
  • Figure
  • Figure
  • Figure
  • Figure
  • Received 31 March 2015

DOI:https://doi.org/10.1103/PhysRevLett.115.098101

© 2015 American Physical Society

Authors & Affiliations

R. Monasson and S. Rosay

  • Laboratoire de Physique Théorique de l’Ecole Normale Supérieure, UMR 8549, associé au CNRS et à l’UPMC, 24 rue Lhomond, 75005 Paris, France

Article Text (Subscription Required)

Click to Expand

Supplemental Material (Subscription Required)

Click to Expand

References (Subscription Required)

Click to Expand
Issue

Vol. 115, Iss. 9 — 28 August 2015

Reuse & Permissions
Access Options

Authorization Required


×
×

Images

×

Sign up to receive regular email alerts from Physical Review Letters

Log In

Cancel
×

Search


Article Lookup

Paste a citation or DOI

Enter a citation
×