## Modeling growth in neuronal cell cultures: network properties in different phases of growth studied using two growth simulators

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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**Modeling growth in neuronal cell cultures: network properties in different phases of growth studied using two growth simulators.** / Mäki-Marttunen, Tuomo; Havela, Riikka; Acimovic, Jugoslava; Teppola, Heidi; Ruohonen, Keijo; Linne, Marja-Leena.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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*Proceedings of the Seventh International Workshop on Computational Systems Biology, WCSB 2010, Luxembourg, June 16-18, 2010. TICSP Series.*pp. 4 p.

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*Proceedings of the Seventh International Workshop on Computational Systems Biology, WCSB 2010, Luxembourg, June 16-18, 2010. TICSP Series*(pp. 4 p)

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TY - GEN

T1 - Modeling growth in neuronal cell cultures: network properties in different phases of growth studied using two growth simulators

AU - Mäki-Marttunen, Tuomo

AU - Havela, Riikka

AU - Acimovic, Jugoslava

AU - Teppola, Heidi

AU - Ruohonen, Keijo

AU - Linne, Marja-Leena

N1 - Contribution: organisation=sgn,FACT1=0.5<br/>Contribution: organisation=mat,FACT2=0.5

PY - 2010

Y1 - 2010

N2 - In this work we study the structural changes in neuronal networks emerging during network maturation. We analyze two computational models proposed in the literature that describe the growth of neurons. The models have planar geometry and the density of cells is chosen to correspond to the ’dense’ and ’sparse’ cultures reported in the experimental studies. The growth of the model neurons and networks is simulated using two novel publicly available simulators. A graph representation of the networks is obtained from the simulation results and examined at days 7, 14, and 21. The two models are clearly different in nature. The first can model large networks phenomenologically, while the second describes some of the relevant biophysical processes in smaller networks. The difference in modeling approach is evident in the graph properties.

AB - In this work we study the structural changes in neuronal networks emerging during network maturation. We analyze two computational models proposed in the literature that describe the growth of neurons. The models have planar geometry and the density of cells is chosen to correspond to the ’dense’ and ’sparse’ cultures reported in the experimental studies. The growth of the model neurons and networks is simulated using two novel publicly available simulators. A graph representation of the networks is obtained from the simulation results and examined at days 7, 14, and 21. The two models are clearly different in nature. The first can model large networks phenomenologically, while the second describes some of the relevant biophysical processes in smaller networks. The difference in modeling approach is evident in the graph properties.

M3 - Conference contribution

SN - 978-952-15-2384-7

SP - 4 p

BT - Proceedings of the Seventh International Workshop on Computational Systems Biology, WCSB 2010, Luxembourg, June 16-18, 2010. TICSP Series

A2 - Nykter, Matti

A2 - Ruusuvuori, Pekka

A2 - Carlberg, Carsten

A2 - Yli-Harja, Olli

ER -