Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Mechanism of graded persistent cellular activity of entorhinal cortex layer V neurons
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB.ORCID iD: 0000-0003-0281-9450
Show others and affiliations
2006 (English)In: Neuron, ISSN 0896-6273, E-ISSN 1097-4199, Vol. 49, no 5, 735-746 p.Article in journal (Refereed) Published
Abstract [en]

Working memory is an emergent property of neuronal networks, but its cellular basis remains elusive. Recent data show that principal neurons of the entorhinal cortex display persistent firing at graded firing rates that can be shifted up or down in response to brief excitatory or inhibitory stimuli. Here, we present a model of a potential mechanism for graded firing. Our multicompartmental model provides stable plateau firing generated by a nonspecific calcium-sensitive cationic (CAN) current. Sustained firing is insensitive to small variations in Ca2+ concentration in a neutral zone. However, both high and low Ca2+ levels alter firing rates. Specifically, increases in persistent firing rate are triggered only during high levels of calcium, while decreases in rate occur in the presence of low levels of calcium. The model is consistent with detailed experimental observations and provides a mechanism for maintenance of memory-related activity in individual neurons.

Place, publisher, year, edition, pages
2006. Vol. 49, no 5, 735-746 p.
Keyword [en]
parametric working-memory, head-direction cells, prefrontal cortex, recurrent network, spatial navigation, neural integrator, cation current, model neuron, eye position, ii neurons
National Category
Neurosciences Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:kth:diva-15525DOI: 10.1016/j.neuron.2006.01.036ISI: 000236070600014Scopus ID: 2-s2.0-33344467487OAI: oai:DiVA.org:kth-15525DiVA: diva2:333566
Note
QC 20100525 QC 20111215Available from: 2010-08-05 Created: 2010-08-05 Last updated: 2018-01-12Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Authority records BETA

Fransén, Erik

Search in DiVA

By author/editor
Fransén, Erik
By organisation
Computational Biology, CB
In the same journal
Neuron
NeurosciencesBioinformatics (Computational Biology)

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 74 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf