Cargando…

Estimating null and potent modes of feedforward communication in a computational model of cortical activity

Communication across anatomical areas of the brain is key to both sensory and motor processes. Dimensionality reduction approaches have shown that the covariation of activity across cortical areas follows well-delimited patterns. Some of these patterns fall within the "potent space" of neu...

Descripción completa

Detalles Bibliográficos
Autores principales: Thivierge, Jean-Philippe, Pilzak, Artem
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8760251/
https://www.ncbi.nlm.nih.gov/pubmed/35031628
http://dx.doi.org/10.1038/s41598-021-04684-9
_version_ 1784633276977119232
author Thivierge, Jean-Philippe
Pilzak, Artem
author_facet Thivierge, Jean-Philippe
Pilzak, Artem
author_sort Thivierge, Jean-Philippe
collection PubMed
description Communication across anatomical areas of the brain is key to both sensory and motor processes. Dimensionality reduction approaches have shown that the covariation of activity across cortical areas follows well-delimited patterns. Some of these patterns fall within the "potent space" of neural interactions and generate downstream responses; other patterns fall within the "null space" and prevent the feedforward propagation of synaptic inputs. Despite growing evidence for the role of null space activity in visual processing as well as preparatory motor control, a mechanistic understanding of its neural origins is lacking. Here, we developed a mean-rate model that allowed for the systematic control of feedforward propagation by potent and null modes of interaction. In this model, altering the number of null modes led to no systematic changes in firing rates, pairwise correlations, or mean synaptic strengths across areas, making it difficult to characterize feedforward communication with common measures of functional connectivity. A novel measure termed the null ratio captured the proportion of null modes relayed from one area to another. Applied to simultaneous recordings of primate cortical areas V1 and V2 during image viewing, the null ratio revealed that feedforward interactions have a broad null space that may reflect properties of visual stimuli.
format Online
Article
Text
id pubmed-8760251
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-87602512022-01-18 Estimating null and potent modes of feedforward communication in a computational model of cortical activity Thivierge, Jean-Philippe Pilzak, Artem Sci Rep Article Communication across anatomical areas of the brain is key to both sensory and motor processes. Dimensionality reduction approaches have shown that the covariation of activity across cortical areas follows well-delimited patterns. Some of these patterns fall within the "potent space" of neural interactions and generate downstream responses; other patterns fall within the "null space" and prevent the feedforward propagation of synaptic inputs. Despite growing evidence for the role of null space activity in visual processing as well as preparatory motor control, a mechanistic understanding of its neural origins is lacking. Here, we developed a mean-rate model that allowed for the systematic control of feedforward propagation by potent and null modes of interaction. In this model, altering the number of null modes led to no systematic changes in firing rates, pairwise correlations, or mean synaptic strengths across areas, making it difficult to characterize feedforward communication with common measures of functional connectivity. A novel measure termed the null ratio captured the proportion of null modes relayed from one area to another. Applied to simultaneous recordings of primate cortical areas V1 and V2 during image viewing, the null ratio revealed that feedforward interactions have a broad null space that may reflect properties of visual stimuli. Nature Publishing Group UK 2022-01-14 /pmc/articles/PMC8760251/ /pubmed/35031628 http://dx.doi.org/10.1038/s41598-021-04684-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Thivierge, Jean-Philippe
Pilzak, Artem
Estimating null and potent modes of feedforward communication in a computational model of cortical activity
title Estimating null and potent modes of feedforward communication in a computational model of cortical activity
title_full Estimating null and potent modes of feedforward communication in a computational model of cortical activity
title_fullStr Estimating null and potent modes of feedforward communication in a computational model of cortical activity
title_full_unstemmed Estimating null and potent modes of feedforward communication in a computational model of cortical activity
title_short Estimating null and potent modes of feedforward communication in a computational model of cortical activity
title_sort estimating null and potent modes of feedforward communication in a computational model of cortical activity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8760251/
https://www.ncbi.nlm.nih.gov/pubmed/35031628
http://dx.doi.org/10.1038/s41598-021-04684-9
work_keys_str_mv AT thiviergejeanphilippe estimatingnullandpotentmodesoffeedforwardcommunicationinacomputationalmodelofcorticalactivity
AT pilzakartem estimatingnullandpotentmodesoffeedforwardcommunicationinacomputationalmodelofcorticalactivity