Theta-modulation drives the emergence of connectivity patterns underlying replay in a network model of place cells
Place cells of the rodent hippocampus fire action potentials when the animal traverses a particular spatial location in any environment. Therefore for any given trajectory one observes a repeatable sequence of place cell activations. When the animal is quiescent or sleeping, one can observe similar...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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eLife Sciences Publications Ltd
2018-10-01
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| Series: | eLife |
| Subjects: | |
| Online Access: | https://elifesciences.org/articles/37388 |
| _version_ | 1811253201543888896 |
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| author | Panagiota Theodoni Bernat Rovira Yingxue Wang Alex Roxin |
| author_facet | Panagiota Theodoni Bernat Rovira Yingxue Wang Alex Roxin |
| author_sort | Panagiota Theodoni |
| collection | DOAJ |
| description | Place cells of the rodent hippocampus fire action potentials when the animal traverses a particular spatial location in any environment. Therefore for any given trajectory one observes a repeatable sequence of place cell activations. When the animal is quiescent or sleeping, one can observe similar sequences of activation known as replay, which underlie the process of memory consolidation. However, it remains unclear how replay is generated. Here we show how a temporally asymmetric plasticity rule during spatial exploration gives rise to spontaneous replay in a model network by shaping the recurrent connectivity to reflect the topology of the learned environment. Crucially, the rate of this encoding is strongly modulated by ongoing rhythms. Oscillations in the theta range optimize learning by generating repeated pre-post pairings on a time-scale commensurate with the window for plasticity, while lower and higher frequencies generate learning rates which are lower by orders of magnitude. |
| first_indexed | 2024-04-12T16:46:21Z |
| format | Article |
| id | doaj.art-b7bc61bbbd5b47e3affe0e6cf5130161 |
| institution | Directory Open Access Journal |
| issn | 2050-084X |
| language | English |
| last_indexed | 2024-04-12T16:46:21Z |
| publishDate | 2018-10-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj.art-b7bc61bbbd5b47e3affe0e6cf51301612022-12-22T03:24:33ZengeLife Sciences Publications LtdeLife2050-084X2018-10-01710.7554/eLife.37388Theta-modulation drives the emergence of connectivity patterns underlying replay in a network model of place cellsPanagiota Theodoni0Bernat Rovira1Yingxue Wang2Alex Roxin3https://orcid.org/0000-0003-1015-8138Centre de Recerca Matemàtica, Bellaterra, Spain; New York University Shanghai, Shanghai, China; NYU-ECNU Institute of Brain and Cognitive Science at NYU Shanghai, Shanghai, ChinaCentre de Recerca Matemàtica, Bellaterra, Spain; Department of Information and Communication Technologies, Universitat Pompeu Fabra, Barcelona, SpainMax Planck Florida Institute for Neuroscience, Jupiter, United StatesCentre de Recerca Matemàtica, Bellaterra, Spain; Barcelona Graduate School of Mathematics, Barcelona, SpainPlace cells of the rodent hippocampus fire action potentials when the animal traverses a particular spatial location in any environment. Therefore for any given trajectory one observes a repeatable sequence of place cell activations. When the animal is quiescent or sleeping, one can observe similar sequences of activation known as replay, which underlie the process of memory consolidation. However, it remains unclear how replay is generated. Here we show how a temporally asymmetric plasticity rule during spatial exploration gives rise to spontaneous replay in a model network by shaping the recurrent connectivity to reflect the topology of the learned environment. Crucially, the rate of this encoding is strongly modulated by ongoing rhythms. Oscillations in the theta range optimize learning by generating repeated pre-post pairings on a time-scale commensurate with the window for plasticity, while lower and higher frequencies generate learning rates which are lower by orders of magnitude.https://elifesciences.org/articles/37388hippocampusplasticityplace cellstheta oscillationreplaynetwork model |
| spellingShingle | Panagiota Theodoni Bernat Rovira Yingxue Wang Alex Roxin Theta-modulation drives the emergence of connectivity patterns underlying replay in a network model of place cells eLife hippocampus plasticity place cells theta oscillation replay network model |
| title | Theta-modulation drives the emergence of connectivity patterns underlying replay in a network model of place cells |
| title_full | Theta-modulation drives the emergence of connectivity patterns underlying replay in a network model of place cells |
| title_fullStr | Theta-modulation drives the emergence of connectivity patterns underlying replay in a network model of place cells |
| title_full_unstemmed | Theta-modulation drives the emergence of connectivity patterns underlying replay in a network model of place cells |
| title_short | Theta-modulation drives the emergence of connectivity patterns underlying replay in a network model of place cells |
| title_sort | theta modulation drives the emergence of connectivity patterns underlying replay in a network model of place cells |
| topic | hippocampus plasticity place cells theta oscillation replay network model |
| url | https://elifesciences.org/articles/37388 |
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