Koeppl, H. ; Haeusler, S. (2009)
Motifs, algebraic connectivity and computational performance of two data- based cortical circuit templates.
In: Proceedings of the sixth International Workshop on Computational Systems Biology
Artikel, Bibliographie
Kurzbeschreibung (Abstract)
Based on extensive experimental work two templates for the laminae-specific connectivity pattern of cortical microcircuits have recently been published. We examine their structural and computational properties and attempt to correlate those properties. To characterize structure or circuit topology we consider the distribution of network motifs as well the algebraic connectivity of the network. In order to understand the computational properties of these two templates, we have generated computer models of them, consisting of Hodgkin-Huxley point neurons with conductance based synapses that have a biologically realistic short-term plasticity. The performance is assessed using nine generic computational tasks that require accumulation and merging of information contained in two afferent spike inputs.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2009 |
| Autor(en): | Koeppl, H. ; Haeusler, S. |
| Art des Eintrags: | Bibliographie |
| Titel: | Motifs, algebraic connectivity and computational performance of two data- based cortical circuit templates |
| Sprache: | Englisch |
| Publikationsjahr: | 2009 |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Proceedings of the sixth International Workshop on Computational Systems Biology |
| URL / URN: | http://infoscience.epfl.ch/record/131569?ln=en |
| Kurzbeschreibung (Abstract): | Based on extensive experimental work two templates for the laminae-specific connectivity pattern of cortical microcircuits have recently been published. We examine their structural and computational properties and attempt to correlate those properties. To characterize structure or circuit topology we consider the distribution of network motifs as well the algebraic connectivity of the network. In order to understand the computational properties of these two templates, we have generated computer models of them, consisting of Hodgkin-Huxley point neurons with conductance based synapses that have a biologically realistic short-term plasticity. The performance is assessed using nine generic computational tasks that require accumulation and merging of information contained in two afferent spike inputs. |
| Fachbereich(e)/-gebiet(e): | 18 Fachbereich Elektrotechnik und Informationstechnik 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik > Bioinspirierte Kommunikationssysteme 18 Fachbereich Elektrotechnik und Informationstechnik > Institut für Nachrichtentechnik |
| Hinterlegungsdatum: | 04 Apr 2014 12:41 |
| Letzte Änderung: | 23 Sep 2021 14:32 |
| PPN: | |
| Export: | |
| Suche nach Titel in: | TUfind oder in Google |
 |
Frage zum Eintrag |
Optionen (nur für Redakteure)
 |
Redaktionelle Details anzeigen |
Drucken
Impressum