Change search
ReferencesLink to record
Permanent link

Direct link
Biophysically detailed modelling of microcircuits and beyond
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB.ORCID iD: 0000-0002-2792-1622
KTH, School of Computer Science and Communication (CSC), Computational Biology, CB.ORCID iD: 0000-0002-0550-0739
Show others and affiliations
2005 (English)In: TINS - Trends in Neurosciences, ISSN 0166-2236, E-ISSN 1878-108X, Vol. 28, no 10, 562-569 p.Article, review/survey (Refereed) Published
Abstract [en]

Realistic bottom-up modelling has been seminal to understanding which properties of microcircuits control their dynamic behaviour, such as the locomotor rhythms generated by central pattern generators. In this article of the TINS Microcircuits Special Feature, we review recent modelling work on the leech-heartbeat and lamprey-swimming pattern generators as examples. Top-down mathematical modelling also has an important role in analyzing microcircuit properties but it has not always been easy to reconcile results from the two modelling approaches. Most realistic microcircuit models are relatively simple and need to be made more detailed to represent complex processes more accurately. We review methods to add neuromechanical feedback, biochemical pathways or full dendritic morphologies to microcircuit models. Finally, we consider the advantages and challenges of full-scale simulation of networks of microcircuits.

Place, publisher, year, edition, pages
2005. Vol. 28, no 10, 562-569 p.
Keyword [en]
central pattern generator, long-term depression, heartbeat neuronal network, intersegmental phase-lag, cerebellar purkinje-cell, neural mechanisms, signal-transduction, inhibitory neurons, synaptic currents, timing network
National Category
Bioinformatics (Computational Biology)
URN: urn:nbn:se:kth:diva-15099DOI: 10.1016/j.tins.2005.08.002ISI: 000232478600009PubMedID: 16118023ScopusID: 2-s2.0-24944584124OAI: diva2:333140
QC 20100525Available from: 2010-08-05 Created: 2010-08-05 Last updated: 2012-01-08Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textPubMedScopus

Search in DiVA

By author/editor
Ekeberg, ÖrjanHellgren Kotaleski, JeanetteLansner, Anders
By organisation
Computational Biology, CB
In the same journal
TINS - Trends in Neurosciences
Bioinformatics (Computational Biology)

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 39 hits
ReferencesLink to record
Permanent link

Direct link