Quantitative properties of a feedback circuit predict frequency-dependent pattern separation
Feedback inhibitory motifs are thought to be important for pattern separation across species. How feedback circuits may implement pattern separation of biologically plausible, temporally structured input in mammals is, however, poorly understood. We have quantitatively determined key properties of n...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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eLife Sciences Publications Ltd
2020-02-01
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| Series: | eLife |
| Subjects: | |
| Online Access: | https://elifesciences.org/articles/53148 |
| _version_ | 1811180740132470784 |
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| author | Oliver Braganza Daniel Mueller-Komorowska Tony Kelly Heinz Beck |
| author_facet | Oliver Braganza Daniel Mueller-Komorowska Tony Kelly Heinz Beck |
| author_sort | Oliver Braganza |
| collection | DOAJ |
| description | Feedback inhibitory motifs are thought to be important for pattern separation across species. How feedback circuits may implement pattern separation of biologically plausible, temporally structured input in mammals is, however, poorly understood. We have quantitatively determined key properties of netfeedback inhibition in the mouse dentate gyrus, a region critically involved in pattern separation. Feedback inhibition is recruited steeply with a low dynamic range (0% to 4% of active GCs), and with a non-uniform spatial profile. Additionally, net feedback inhibition shows frequency-dependent facilitation, driven by strongly facilitating mossy fiber inputs. Computational analyses show a significant contribution of the feedback circuit to pattern separation of theta modulated inputs, even within individual theta cycles. Moreover, pattern separation was selectively boosted at gamma frequencies, in particular for highly similar inputs. This effect was highly robust, suggesting that frequency-dependent pattern separation is a key feature of the feedback inhibitory microcircuit. |
| first_indexed | 2024-04-11T09:07:15Z |
| format | Article |
| id | doaj.art-7567310360984d94a8e549e357f487c5 |
| institution | Directory Open Access Journal |
| issn | 2050-084X |
| language | English |
| last_indexed | 2024-04-11T09:07:15Z |
| publishDate | 2020-02-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj.art-7567310360984d94a8e549e357f487c52022-12-22T04:32:35ZengeLife Sciences Publications LtdeLife2050-084X2020-02-01910.7554/eLife.53148Quantitative properties of a feedback circuit predict frequency-dependent pattern separationOliver Braganza0https://orcid.org/0000-0001-8508-1070Daniel Mueller-Komorowska1https://orcid.org/0000-0002-2789-6068Tony Kelly2Heinz Beck3Institute for Experimental Epileptology and Cognition Research, University of Bonn, Bonn, GermanyInstitute for Experimental Epileptology and Cognition Research, University of Bonn, Bonn, Germany; International Max Planck Research School for Brain and Behavior, University of Bonn, Bonn, GermanyInstitute for Experimental Epileptology and Cognition Research, University of Bonn, Bonn, GermanyInstitute for Experimental Epileptology and Cognition Research, University of Bonn, Bonn, Germany; Deutsches Zentrum für Neurodegenerative Erkrankungen e.V., Bonn, GermanyFeedback inhibitory motifs are thought to be important for pattern separation across species. How feedback circuits may implement pattern separation of biologically plausible, temporally structured input in mammals is, however, poorly understood. We have quantitatively determined key properties of netfeedback inhibition in the mouse dentate gyrus, a region critically involved in pattern separation. Feedback inhibition is recruited steeply with a low dynamic range (0% to 4% of active GCs), and with a non-uniform spatial profile. Additionally, net feedback inhibition shows frequency-dependent facilitation, driven by strongly facilitating mossy fiber inputs. Computational analyses show a significant contribution of the feedback circuit to pattern separation of theta modulated inputs, even within individual theta cycles. Moreover, pattern separation was selectively boosted at gamma frequencies, in particular for highly similar inputs. This effect was highly robust, suggesting that frequency-dependent pattern separation is a key feature of the feedback inhibitory microcircuit.https://elifesciences.org/articles/53148dentate gyruspattern separationfeedback inhibitiongamma oscillationsmicrocircuit motif |
| spellingShingle | Oliver Braganza Daniel Mueller-Komorowska Tony Kelly Heinz Beck Quantitative properties of a feedback circuit predict frequency-dependent pattern separation eLife dentate gyrus pattern separation feedback inhibition gamma oscillations microcircuit motif |
| title | Quantitative properties of a feedback circuit predict frequency-dependent pattern separation |
| title_full | Quantitative properties of a feedback circuit predict frequency-dependent pattern separation |
| title_fullStr | Quantitative properties of a feedback circuit predict frequency-dependent pattern separation |
| title_full_unstemmed | Quantitative properties of a feedback circuit predict frequency-dependent pattern separation |
| title_short | Quantitative properties of a feedback circuit predict frequency-dependent pattern separation |
| title_sort | quantitative properties of a feedback circuit predict frequency dependent pattern separation |
| topic | dentate gyrus pattern separation feedback inhibition gamma oscillations microcircuit motif |
| url | https://elifesciences.org/articles/53148 |
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