Signal denoising through topographic modularity of neural circuits
Information from the sensory periphery is conveyed to the cortex via structured projection pathways that spatially segregate stimulus features, providing a robust and efficient encoding strategy. Beyond sensory encoding, this prominent anatomical feature extends throughout the neocortex. However, th...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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eLife Sciences Publications Ltd
2023-01-01
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| Series: | eLife |
| Subjects: | |
| Online Access: | https://elifesciences.org/articles/77009 |
| _version_ | 1828000201903702016 |
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| author | Barna Zajzon David Dahmen Abigail Morrison Renato Duarte |
| author_facet | Barna Zajzon David Dahmen Abigail Morrison Renato Duarte |
| author_sort | Barna Zajzon |
| collection | DOAJ |
| description | Information from the sensory periphery is conveyed to the cortex via structured projection pathways that spatially segregate stimulus features, providing a robust and efficient encoding strategy. Beyond sensory encoding, this prominent anatomical feature extends throughout the neocortex. However, the extent to which it influences cortical processing is unclear. In this study, we combine cortical circuit modeling with network theory to demonstrate that the sharpness of topographic projections acts as a bifurcation parameter, controlling the macroscopic dynamics and representational precision across a modular network. By shifting the balance of excitation and inhibition, topographic modularity gradually increases task performance and improves the signal-to-noise ratio across the system. We demonstrate that in biologically constrained networks, such a denoising behavior is contingent on recurrent inhibition. We show that this is a robust and generic structural feature that enables a broad range of behaviorally relevant operating regimes, and provide an in-depth theoretical analysis unraveling the dynamical principles underlying the mechanism. |
| first_indexed | 2024-04-10T06:11:24Z |
| format | Article |
| id | doaj.art-11a589f082dc4e8d8377dc04c0ca1eb3 |
| institution | Directory Open Access Journal |
| issn | 2050-084X |
| language | English |
| last_indexed | 2024-04-10T06:11:24Z |
| publishDate | 2023-01-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj.art-11a589f082dc4e8d8377dc04c0ca1eb32023-03-02T15:29:28ZengeLife Sciences Publications LtdeLife2050-084X2023-01-011210.7554/eLife.77009Signal denoising through topographic modularity of neural circuitsBarna Zajzon0https://orcid.org/0000-0002-3458-103XDavid Dahmen1https://orcid.org/0000-0002-7664-916XAbigail Morrison2https://orcid.org/0000-0001-6933-797XRenato Duarte3https://orcid.org/0000-0001-6099-667XInstitute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA-BRAIN Institute I, Jülich Research Centre, Jülich, Germany; Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, GermanyInstitute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA-BRAIN Institute I, Jülich Research Centre, Jülich, GermanyInstitute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA-BRAIN Institute I, Jülich Research Centre, Jülich, Germany; Department of Computer Science 3 - Software Engineering, RWTH Aachen University, Aachen, GermanyInstitute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6) and JARA-BRAIN Institute I, Jülich Research Centre, Jülich, Germany; Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen, Nijmegen, NetherlandsInformation from the sensory periphery is conveyed to the cortex via structured projection pathways that spatially segregate stimulus features, providing a robust and efficient encoding strategy. Beyond sensory encoding, this prominent anatomical feature extends throughout the neocortex. However, the extent to which it influences cortical processing is unclear. In this study, we combine cortical circuit modeling with network theory to demonstrate that the sharpness of topographic projections acts as a bifurcation parameter, controlling the macroscopic dynamics and representational precision across a modular network. By shifting the balance of excitation and inhibition, topographic modularity gradually increases task performance and improves the signal-to-noise ratio across the system. We demonstrate that in biologically constrained networks, such a denoising behavior is contingent on recurrent inhibition. We show that this is a robust and generic structural feature that enables a broad range of behaviorally relevant operating regimes, and provide an in-depth theoretical analysis unraveling the dynamical principles underlying the mechanism.https://elifesciences.org/articles/77009network dynamicsneural circuitstheoretical neurosciencetopographic modularitysignal denoising |
| spellingShingle | Barna Zajzon David Dahmen Abigail Morrison Renato Duarte Signal denoising through topographic modularity of neural circuits eLife network dynamics neural circuits theoretical neuroscience topographic modularity signal denoising |
| title | Signal denoising through topographic modularity of neural circuits |
| title_full | Signal denoising through topographic modularity of neural circuits |
| title_fullStr | Signal denoising through topographic modularity of neural circuits |
| title_full_unstemmed | Signal denoising through topographic modularity of neural circuits |
| title_short | Signal denoising through topographic modularity of neural circuits |
| title_sort | signal denoising through topographic modularity of neural circuits |
| topic | network dynamics neural circuits theoretical neuroscience topographic modularity signal denoising |
| url | https://elifesciences.org/articles/77009 |
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