A model combining oscillations and attractor dynamics for generation of grid cell firing

Different models have been able to account for different features of the data on grid cell firing properties, including the relationship of grid cells to cellular properties and network oscillations. This paper describes a model that combines elements of two major classes of models of grid cells: mo...

Full description

Bibliographic Details
Main Authors: Michael E Hasselmo, Mark P. Brandon
Format: Article
Language:English
Published: Frontiers Media S.A. 2012-05-01
Series:Frontiers in Neural Circuits
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncir.2012.00030/full
id doaj-e11919af43f3492fab8e0e1b4cb030cf
record_format Article
spelling doaj-e11919af43f3492fab8e0e1b4cb030cf2020-11-24T23:56:45ZengFrontiers Media S.A.Frontiers in Neural Circuits1662-51102012-05-01610.3389/fncir.2012.0003020627A model combining oscillations and attractor dynamics for generation of grid cell firingMichael E Hasselmo0Mark P. Brandon1Boston UniversityBoston UniversityDifferent models have been able to account for different features of the data on grid cell firing properties, including the relationship of grid cells to cellular properties and network oscillations. This paper describes a model that combines elements of two major classes of models of grid cells: models using interference of oscillations and models using attractor dynamics. This model includes a population of units with oscillatory input representing input from the medial septum. These units are termed heading angle cells because their connectivity depends upon heading angle in the environment as well as the spatial phase coded by the cell. These cells project to a population of grid cells. The sum of the heading angle input results in standing waves of circularly symmetric input to the grid cell population. Feedback from the grid cell population increases the activity of subsets of the heading angle cells, resulting in the network settling into activity patterns that resemble the patterns of firing fields in a population of grid cells. The properties of heading angle cells firing as conjunctive grid-by-head-direction cells can shift the grid cell firing according to movement velocity. The pattern of interaction of oscillations requires use of separate populations that fire on alternate cycles of the net theta rhythmic input to grid cells, similar to recent neurophysiological data on theta cycle skipping in medial entorhinal cortex.http://journal.frontiersin.org/Journal/10.3389/fncir.2012.00030/fullgrid cellsresonanceoscillatory interferenceattractor dynamicshead direction cellstheta rhythm oscillations
collection DOAJ
language English
format Article
sources DOAJ
author Michael E Hasselmo
Mark P. Brandon
spellingShingle Michael E Hasselmo
Mark P. Brandon
A model combining oscillations and attractor dynamics for generation of grid cell firing
Frontiers in Neural Circuits
grid cells
resonance
oscillatory interference
attractor dynamics
head direction cells
theta rhythm oscillations
author_facet Michael E Hasselmo
Mark P. Brandon
author_sort Michael E Hasselmo
title A model combining oscillations and attractor dynamics for generation of grid cell firing
title_short A model combining oscillations and attractor dynamics for generation of grid cell firing
title_full A model combining oscillations and attractor dynamics for generation of grid cell firing
title_fullStr A model combining oscillations and attractor dynamics for generation of grid cell firing
title_full_unstemmed A model combining oscillations and attractor dynamics for generation of grid cell firing
title_sort model combining oscillations and attractor dynamics for generation of grid cell firing
publisher Frontiers Media S.A.
series Frontiers in Neural Circuits
issn 1662-5110
publishDate 2012-05-01
description Different models have been able to account for different features of the data on grid cell firing properties, including the relationship of grid cells to cellular properties and network oscillations. This paper describes a model that combines elements of two major classes of models of grid cells: models using interference of oscillations and models using attractor dynamics. This model includes a population of units with oscillatory input representing input from the medial septum. These units are termed heading angle cells because their connectivity depends upon heading angle in the environment as well as the spatial phase coded by the cell. These cells project to a population of grid cells. The sum of the heading angle input results in standing waves of circularly symmetric input to the grid cell population. Feedback from the grid cell population increases the activity of subsets of the heading angle cells, resulting in the network settling into activity patterns that resemble the patterns of firing fields in a population of grid cells. The properties of heading angle cells firing as conjunctive grid-by-head-direction cells can shift the grid cell firing according to movement velocity. The pattern of interaction of oscillations requires use of separate populations that fire on alternate cycles of the net theta rhythmic input to grid cells, similar to recent neurophysiological data on theta cycle skipping in medial entorhinal cortex.
topic grid cells
resonance
oscillatory interference
attractor dynamics
head direction cells
theta rhythm oscillations
url http://journal.frontiersin.org/Journal/10.3389/fncir.2012.00030/full
work_keys_str_mv AT michaelehasselmo amodelcombiningoscillationsandattractordynamicsforgenerationofgridcellfiring
AT markpbrandon amodelcombiningoscillationsandattractordynamicsforgenerationofgridcellfiring
AT michaelehasselmo modelcombiningoscillationsandattractordynamicsforgenerationofgridcellfiring
AT markpbrandon modelcombiningoscillationsandattractordynamicsforgenerationofgridcellfiring
_version_ 1725456709397250048