Repository logo
 
Publication

The Tripod neuron: a minimal structural reduction of the dendritic tree

2022Journal article Open access
Simple item page
dc.contributor.authorQuaresima, Alessio
dc.contributor.authorFitz, Hartmut
dc.contributor.authorDuarte, Renato
dc.contributor.authorBroek, Dick van den
dc.contributor.authorHagoort, Peter
dc.contributor.authorPetersson, Karl Magnus
dc.date.accessioned2023-01-25T13:35:10Z
dc.date.available2023-01-25T13:35:10Z
dc.date.issued2022
dc.description.abstractNeuron models with explicit dendritic dynamics have shed light on mechanisms for coincidence detection, pathway selection and temporal filtering. However, it is still unclear which morphological and physiological features are required to capture these phenomena. In this work, we introduce the Tripod neuron model and propose a minimal structural ion of the dendritic tree that is able to reproduce these computations. The Tripod is a three-compartment model consisting of two segregated passive dendrites and a somatic compartment modelled as an adaptive, exponential integrate-and-tire neuron. It incorporates dendritic geometry, membrane physiology and receptor dynamics as measured in human pyramidal cells. We characterize the response of the Tripod to glutamatergic and GABAergic inputs and identify parameters that support supra-linear integration, coincidence-detection and pathway-specific gating through shunting inhibition. Following NMDA spikes, the Tripod neuron generates plateau potentials whose duration depends on the dendritic length and the strength of synaptic input. When titled with distal compartments, the Tripod encodes previous activity into a dendritic depolarized state. This dendritic memory allows the neuron to perform temporal binding, and we show that it solves transition and sequence detection tasks on which a single-compartment model fails. Thus, the Tripod can account for dendritic computations previously explained only with more detailed neuron models or neural networks. Due to its simplicity, the Tripod neuron can be used efficiently in simulations of larger cortical circuits.pt_PT
dc.description.sponsorship024.001.006
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1113/JP283399pt_PT
dc.identifier.issn0022-3751
dc.identifier.urihttp://hdl.handle.net/10400.1/18925
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWileypt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.titleThe Tripod neuron: a minimal structural reduction of the dendritic treept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleThe Journal of Physiologypt_PT
person.familyNamePetersson
person.givenNameKarl Magnus
person.identifier13089
person.identifier.ciencia-id6D14-B1D1-1532
person.identifier.orcid0000-0002-8245-0392
person.identifier.ridE-8188-2012
person.identifier.scopus-author-id7006470225
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication0f437ab3-c630-40ad-963f-13196ad4fbd6
relation.isAuthorOfPublication.latestForDiscovery0f437ab3-c630-40ad-963f-13196ad4fbd6

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
The Journal of Physiology - 2022 - Quaresima - The Tripod neuron a minimal structural reduction of the dendritic tree.pdf
Size:
8.85 MB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
3.46 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

FCB2-Artigos (em revistas ou actas indexadas)