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...
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Online Access: | http://journal.frontiersin.org/Journal/10.3389/fncir.2012.00030/full |
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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 |
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