TUTCRIS - Tampereen teknillinen yliopisto

TUTCRIS

Order reduction for a signaling pathway model of neuronal synaptic plasticity

Tutkimustuotosvertaisarvioitu

Yksityiskohdat

AlkuperäiskieliEnglanti
Otsikko20th IFAC World Congress
KustantajaIFAC
Sivut7687-7692
Sivumäärä6
DOI - pysyväislinkit
TilaJulkaistu - 1 heinäkuuta 2017
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIFAC World Congress -
Kesto: 1 tammikuuta 2000 → …

Julkaisusarja

NimiIFAC-PapersOnLine
Vuosikerta50
ISSN (elektroninen)2405-8963

Conference

ConferenceIFAC World Congress
Ajanjakso1/01/00 → …

Tiivistelmä

In this study a nonlinear mathematical model of plasticity in the brain is reduced using the Proper Orthogonal Decomposition and Discrete Empirical Interpolation Method. Such methods are remarkably useful for connecting reduced small scale models via the inputs and outputs to form optimally performing large scale models. Novel results were obtained as mathematical model order reduction has not been applied in neuroscience without linearization of the mathematical model and never to the model presented here. The reduced order model consumes considerably less computational resources than the original while maintaining a low root mean square error between the original and reduced model.

!!ASJC Scopus subject areas

Tutkimusalat

Julkaisufoorumi-taso