Attractor dynamics of spatially correlated neural activity in the limbic system

Research output: Contribution to journalArticle

Abstract

Attractor networks are a popular computational construct used tomodel different brain systems. These networks allow elegant computations that are thought to represent a number of aspects of brain function. Although there is good reason to believe that the brain displays attractor dynamics, it has proven difficult to test experimentally whether any particular attractor architecture resides in any particular brain circuit. We review models and experimental evidence for three systems in the rat brain that are presumed to be components of the rat's navigational and memory system. Head-direction cells have been modeled as a ring attractor, grid cells as a plane attractor, and place cells both as a plane attractor and as a point attractor. Whereas the models have proven to be extremely useful conceptual tools, the experimental evidence in their favor, although intriguing, is still mostly circumstantial.

Original languageEnglish (US)
Pages (from-to)267-285
Number of pages19
JournalAnnual Review of Neuroscience
Volume35
DOIs
StatePublished - Jul 2012

Fingerprint

Limbic System
Brain
Theoretical Models
Head

Keywords

  • grid cell
  • head-direction cell
  • hipp campus
  • medial entorhinal cortex
  • place cell

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

Attractor dynamics of spatially correlated neural activity in the limbic system. / Knierim, James; Zhang, Kechen.

In: Annual Review of Neuroscience, Vol. 35, 07.2012, p. 267-285.

Research output: Contribution to journalArticle

@article{24eaf9f62ba44d10a903fbe0d67bcf55,
title = "Attractor dynamics of spatially correlated neural activity in the limbic system",
abstract = "Attractor networks are a popular computational construct used tomodel different brain systems. These networks allow elegant computations that are thought to represent a number of aspects of brain function. Although there is good reason to believe that the brain displays attractor dynamics, it has proven difficult to test experimentally whether any particular attractor architecture resides in any particular brain circuit. We review models and experimental evidence for three systems in the rat brain that are presumed to be components of the rat's navigational and memory system. Head-direction cells have been modeled as a ring attractor, grid cells as a plane attractor, and place cells both as a plane attractor and as a point attractor. Whereas the models have proven to be extremely useful conceptual tools, the experimental evidence in their favor, although intriguing, is still mostly circumstantial.",
keywords = "grid cell, head-direction cell, hipp campus, medial entorhinal cortex, place cell",
author = "James Knierim and Kechen Zhang",
year = "2012",
month = "7",
doi = "10.1146/annurev-neuro-062111-150351",
language = "English (US)",
volume = "35",
pages = "267--285",
journal = "Annual Review of Neuroscience",
issn = "0147-006X",
publisher = "Annual Reviews Inc.",

}

TY - JOUR

T1 - Attractor dynamics of spatially correlated neural activity in the limbic system

AU - Knierim, James

AU - Zhang, Kechen

PY - 2012/7

Y1 - 2012/7

N2 - Attractor networks are a popular computational construct used tomodel different brain systems. These networks allow elegant computations that are thought to represent a number of aspects of brain function. Although there is good reason to believe that the brain displays attractor dynamics, it has proven difficult to test experimentally whether any particular attractor architecture resides in any particular brain circuit. We review models and experimental evidence for three systems in the rat brain that are presumed to be components of the rat's navigational and memory system. Head-direction cells have been modeled as a ring attractor, grid cells as a plane attractor, and place cells both as a plane attractor and as a point attractor. Whereas the models have proven to be extremely useful conceptual tools, the experimental evidence in their favor, although intriguing, is still mostly circumstantial.

AB - Attractor networks are a popular computational construct used tomodel different brain systems. These networks allow elegant computations that are thought to represent a number of aspects of brain function. Although there is good reason to believe that the brain displays attractor dynamics, it has proven difficult to test experimentally whether any particular attractor architecture resides in any particular brain circuit. We review models and experimental evidence for three systems in the rat brain that are presumed to be components of the rat's navigational and memory system. Head-direction cells have been modeled as a ring attractor, grid cells as a plane attractor, and place cells both as a plane attractor and as a point attractor. Whereas the models have proven to be extremely useful conceptual tools, the experimental evidence in their favor, although intriguing, is still mostly circumstantial.

KW - grid cell

KW - head-direction cell

KW - hipp campus

KW - medial entorhinal cortex

KW - place cell

UR - http://www.scopus.com/inward/record.url?scp=84860176118&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84860176118&partnerID=8YFLogxK

U2 - 10.1146/annurev-neuro-062111-150351

DO - 10.1146/annurev-neuro-062111-150351

M3 - Article

C2 - 22462545

AN - SCOPUS:84860176118

VL - 35

SP - 267

EP - 285

JO - Annual Review of Neuroscience

JF - Annual Review of Neuroscience

SN - 0147-006X

ER -