Spike reliability is cell type specific and shapes excitation and inhibition in the cortex
Abstract Neurons encode information in the highly variable spiking activity of neuronal populations, so that different repetitions of the same stimulus can generate action potentials that vary significantly in terms of the count and timing. How does spiking variability originate, and does it have a...
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-024-82536-y |
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| author | Simone Russo Garrett B. Stanley Farzaneh Najafi |
| author_facet | Simone Russo Garrett B. Stanley Farzaneh Najafi |
| author_sort | Simone Russo |
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| description | Abstract Neurons encode information in the highly variable spiking activity of neuronal populations, so that different repetitions of the same stimulus can generate action potentials that vary significantly in terms of the count and timing. How does spiking variability originate, and does it have a functional purpose? Leveraging large-scale intracellular electrophysiological data, we relate the spiking reliability of cortical neurons in-vitro during the intracellular injection of current resembling synaptic inputs to their morphologic, electrophysiologic, and transcriptomic classes. Our findings demonstrate that parvalbumin+ (PV) interneurons, a subclass of inhibitory neurons, show high reliability compared to other neuronal subclasses, particularly excitatory neurons. Through computational modeling, we predict that the high reliability of PV interneurons allows for strong and precise inhibition in downstream neurons, while the lower reliability of excitatory neurons allows for integrating multiple synaptic inputs leading to a spiking rate code. These findings illuminate how spiking variability in different neuronal classes affect information propagation in the brain, leading to precise inhibition and spiking rate codes. |
| format | Article |
| id | doaj-art-b11c7c70b0dd4c77a243d41fa0b1f136 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-b11c7c70b0dd4c77a243d41fa0b1f1362025-01-05T12:20:01ZengNature PortfolioScientific Reports2045-23222025-01-011511910.1038/s41598-024-82536-ySpike reliability is cell type specific and shapes excitation and inhibition in the cortexSimone Russo0Garrett B. Stanley1Farzaneh Najafi2Wallace H Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory UniversityWallace H Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory UniversitySchool of Biological Sciences, Georgia Institute of TechnologyAbstract Neurons encode information in the highly variable spiking activity of neuronal populations, so that different repetitions of the same stimulus can generate action potentials that vary significantly in terms of the count and timing. How does spiking variability originate, and does it have a functional purpose? Leveraging large-scale intracellular electrophysiological data, we relate the spiking reliability of cortical neurons in-vitro during the intracellular injection of current resembling synaptic inputs to their morphologic, electrophysiologic, and transcriptomic classes. Our findings demonstrate that parvalbumin+ (PV) interneurons, a subclass of inhibitory neurons, show high reliability compared to other neuronal subclasses, particularly excitatory neurons. Through computational modeling, we predict that the high reliability of PV interneurons allows for strong and precise inhibition in downstream neurons, while the lower reliability of excitatory neurons allows for integrating multiple synaptic inputs leading to a spiking rate code. These findings illuminate how spiking variability in different neuronal classes affect information propagation in the brain, leading to precise inhibition and spiking rate codes.https://doi.org/10.1038/s41598-024-82536-yReliabilityVariabilityParvalbumin neuronsExcitatory neuronsSpike timing precision |
| spellingShingle | Simone Russo Garrett B. Stanley Farzaneh Najafi Spike reliability is cell type specific and shapes excitation and inhibition in the cortex Scientific Reports Reliability Variability Parvalbumin neurons Excitatory neurons Spike timing precision |
| title | Spike reliability is cell type specific and shapes excitation and inhibition in the cortex |
| title_full | Spike reliability is cell type specific and shapes excitation and inhibition in the cortex |
| title_fullStr | Spike reliability is cell type specific and shapes excitation and inhibition in the cortex |
| title_full_unstemmed | Spike reliability is cell type specific and shapes excitation and inhibition in the cortex |
| title_short | Spike reliability is cell type specific and shapes excitation and inhibition in the cortex |
| title_sort | spike reliability is cell type specific and shapes excitation and inhibition in the cortex |
| topic | Reliability Variability Parvalbumin neurons Excitatory neurons Spike timing precision |
| url | https://doi.org/10.1038/s41598-024-82536-y |
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