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Compressive sensing of functional connectivity maps from patterned optogenetic stimulation of neuronal ensembles
Mapping functional connectivity between neurons is an essential step toward probing the neural computations mediating behavior. Accurately determining synaptic connectivity maps in populations of neurons is challenging in terms of yield, accuracy, and experimental time. Here, we developed a compress...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10591201/ https://www.ncbi.nlm.nih.gov/pubmed/37876895 http://dx.doi.org/10.1016/j.patter.2023.100845 |
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author | Navarro, Phillip Oweiss, Karim |
author_facet | Navarro, Phillip Oweiss, Karim |
author_sort | Navarro, Phillip |
collection | PubMed |
description | Mapping functional connectivity between neurons is an essential step toward probing the neural computations mediating behavior. Accurately determining synaptic connectivity maps in populations of neurons is challenging in terms of yield, accuracy, and experimental time. Here, we developed a compressive sensing approach to reconstruct synaptic connectivity maps based on random two-photon cell-targeted optogenetic stimulation and membrane voltage readout of many putative postsynaptic neurons. Using a biophysical network model of interconnected populations of excitatory and inhibitory neurons, we characterized mapping recall and precision as a function of network observability, sparsity, number of neurons stimulated, off-target stimulation, synaptic reliability, propagation latency, and network topology. We found that mapping can be achieved with far fewer measurements than the standard pairwise sequential approach, with network sparsity and synaptic reliability serving as primary determinants of the performance. Our results suggest a rapid and efficient method to reconstruct functional connectivity of sparsely connected neuronal networks. |
format | Online Article Text |
id | pubmed-10591201 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105912012023-10-24 Compressive sensing of functional connectivity maps from patterned optogenetic stimulation of neuronal ensembles Navarro, Phillip Oweiss, Karim Patterns (N Y) Article Mapping functional connectivity between neurons is an essential step toward probing the neural computations mediating behavior. Accurately determining synaptic connectivity maps in populations of neurons is challenging in terms of yield, accuracy, and experimental time. Here, we developed a compressive sensing approach to reconstruct synaptic connectivity maps based on random two-photon cell-targeted optogenetic stimulation and membrane voltage readout of many putative postsynaptic neurons. Using a biophysical network model of interconnected populations of excitatory and inhibitory neurons, we characterized mapping recall and precision as a function of network observability, sparsity, number of neurons stimulated, off-target stimulation, synaptic reliability, propagation latency, and network topology. We found that mapping can be achieved with far fewer measurements than the standard pairwise sequential approach, with network sparsity and synaptic reliability serving as primary determinants of the performance. Our results suggest a rapid and efficient method to reconstruct functional connectivity of sparsely connected neuronal networks. Elsevier 2023-09-22 /pmc/articles/PMC10591201/ /pubmed/37876895 http://dx.doi.org/10.1016/j.patter.2023.100845 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Navarro, Phillip Oweiss, Karim Compressive sensing of functional connectivity maps from patterned optogenetic stimulation of neuronal ensembles |
title | Compressive sensing of functional connectivity maps from patterned optogenetic stimulation of neuronal ensembles |
title_full | Compressive sensing of functional connectivity maps from patterned optogenetic stimulation of neuronal ensembles |
title_fullStr | Compressive sensing of functional connectivity maps from patterned optogenetic stimulation of neuronal ensembles |
title_full_unstemmed | Compressive sensing of functional connectivity maps from patterned optogenetic stimulation of neuronal ensembles |
title_short | Compressive sensing of functional connectivity maps from patterned optogenetic stimulation of neuronal ensembles |
title_sort | compressive sensing of functional connectivity maps from patterned optogenetic stimulation of neuronal ensembles |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10591201/ https://www.ncbi.nlm.nih.gov/pubmed/37876895 http://dx.doi.org/10.1016/j.patter.2023.100845 |
work_keys_str_mv | AT navarrophillip compressivesensingoffunctionalconnectivitymapsfrompatternedoptogeneticstimulationofneuronalensembles AT oweisskarim compressivesensingoffunctionalconnectivitymapsfrompatternedoptogeneticstimulationofneuronalensembles |