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Multi-structure Cortical States Deduced From Intracellular Representations of Fixed Tactile Input Patterns

The brain has a never-ending internal activity, whose spatiotemporal evolution interacts with external inputs to constrain their impact on brain activity and thereby how we perceive them. We used reproducible touch-related spatiotemporal sensory inputs and recorded intracellularly from rat (Sprague-...

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Autores principales: Norrlid, Johanna, Enander, Jonas M. D., Mogensen, Hannes, Jörntell, Henrik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236821/
https://www.ncbi.nlm.nih.gov/pubmed/34194301
http://dx.doi.org/10.3389/fncel.2021.677568
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author Norrlid, Johanna
Enander, Jonas M. D.
Mogensen, Hannes
Jörntell, Henrik
author_facet Norrlid, Johanna
Enander, Jonas M. D.
Mogensen, Hannes
Jörntell, Henrik
author_sort Norrlid, Johanna
collection PubMed
description The brain has a never-ending internal activity, whose spatiotemporal evolution interacts with external inputs to constrain their impact on brain activity and thereby how we perceive them. We used reproducible touch-related spatiotemporal sensory inputs and recorded intracellularly from rat (Sprague-Dawley, male) neocortical neurons to characterize this interaction. The synaptic responses, or the summed input of the networks connected to the neuron, varied greatly to repeated presentations of the same tactile input pattern delivered to the tip of digit 2. Surprisingly, however, these responses tended to sort into a set of specific time-evolving response types, unique for each neuron. Further, using a set of eight such tactile input patterns, we found each neuron to exhibit a set of specific response types for each input provided. Response types were not determined by the global cortical state, but instead likely depended on the time-varying state of the specific subnetworks connected to each neuron. The fact that some types of responses recurred indicates that the cortical network had a non-continuous landscape of solutions for these tactile inputs. Therefore, our data suggest that sensory inputs combine with the internal dynamics of the brain networks, thereby causing them to fall into one of the multiple possible perceptual attractor states. The neuron-specific instantiations of response types we observed suggest that the subnetworks connected to each neuron represent different components of those attractor states. Our results indicate that the impact of cortical internal states on external inputs is substantially more richly resolvable than previously shown.
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spelling pubmed-82368212021-06-29 Multi-structure Cortical States Deduced From Intracellular Representations of Fixed Tactile Input Patterns Norrlid, Johanna Enander, Jonas M. D. Mogensen, Hannes Jörntell, Henrik Front Cell Neurosci Cellular Neuroscience The brain has a never-ending internal activity, whose spatiotemporal evolution interacts with external inputs to constrain their impact on brain activity and thereby how we perceive them. We used reproducible touch-related spatiotemporal sensory inputs and recorded intracellularly from rat (Sprague-Dawley, male) neocortical neurons to characterize this interaction. The synaptic responses, or the summed input of the networks connected to the neuron, varied greatly to repeated presentations of the same tactile input pattern delivered to the tip of digit 2. Surprisingly, however, these responses tended to sort into a set of specific time-evolving response types, unique for each neuron. Further, using a set of eight such tactile input patterns, we found each neuron to exhibit a set of specific response types for each input provided. Response types were not determined by the global cortical state, but instead likely depended on the time-varying state of the specific subnetworks connected to each neuron. The fact that some types of responses recurred indicates that the cortical network had a non-continuous landscape of solutions for these tactile inputs. Therefore, our data suggest that sensory inputs combine with the internal dynamics of the brain networks, thereby causing them to fall into one of the multiple possible perceptual attractor states. The neuron-specific instantiations of response types we observed suggest that the subnetworks connected to each neuron represent different components of those attractor states. Our results indicate that the impact of cortical internal states on external inputs is substantially more richly resolvable than previously shown. Frontiers Media S.A. 2021-06-14 /pmc/articles/PMC8236821/ /pubmed/34194301 http://dx.doi.org/10.3389/fncel.2021.677568 Text en Copyright © 2021 Norrlid, Enander, Mogensen and Jörntell. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cellular Neuroscience
Norrlid, Johanna
Enander, Jonas M. D.
Mogensen, Hannes
Jörntell, Henrik
Multi-structure Cortical States Deduced From Intracellular Representations of Fixed Tactile Input Patterns
title Multi-structure Cortical States Deduced From Intracellular Representations of Fixed Tactile Input Patterns
title_full Multi-structure Cortical States Deduced From Intracellular Representations of Fixed Tactile Input Patterns
title_fullStr Multi-structure Cortical States Deduced From Intracellular Representations of Fixed Tactile Input Patterns
title_full_unstemmed Multi-structure Cortical States Deduced From Intracellular Representations of Fixed Tactile Input Patterns
title_short Multi-structure Cortical States Deduced From Intracellular Representations of Fixed Tactile Input Patterns
title_sort multi-structure cortical states deduced from intracellular representations of fixed tactile input patterns
topic Cellular Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8236821/
https://www.ncbi.nlm.nih.gov/pubmed/34194301
http://dx.doi.org/10.3389/fncel.2021.677568
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