Graph-based unsupervised segmentation algorithm for cultured neuronal networks' structure characterization and modeling-Reference-Cited by-同舟云学术

Graph-based unsupervised segmentation algorithm for cultured neuronal networks' structure characterization and modeling

Published:2014-11-12 Issue:6 Volume:87 Page:513-523
ISSN:1552-4922
Container-title:Cytometry Part A
language:en
Short-container-title:Cytometry

Author:

de Santos-Sierra Daniel¹²,Sendiña-Nadal Irene¹³,Leyva Inmaculada¹³,Almendral Juan A.¹³,Ayali Amir⁴,Anava Sarit⁴⁵,Sánchez-Ávila Carmen²,Boccaletti Stefano⁶⁷

Affiliation:

1. Centre for Biomedical Technology, Universidad Politécnica de Madrid; Madrid Spain

2. Group of Biometrics, Biosignals and Security, Universidad Politécnica de Madrid; Madrid Spain

3. Complex Systems Group, Universidad Rey Juan Carlos; Madrid Spain

4. Department of Zoology; Tel Aviv University; Tel Aviv Israel

5. Department of Neurobiology; Wise Faculty of Life Sciences & Sagol School, Tel Aviv University; Tel Aviv Israel

6. Embassy of Italy in Tel Aviv; Tel Aviv Israel

7. CNR-Istituto dei Sistemi Complessi; Florence Italy

Funder

Spanish Ministerio de Economía y Competitividad

Comunidad de Madrid through the R+D Activity Program NEUROTEC-CM

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/cyto.a.22591/fullpdf

Reference39 articles.

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2. Towards neuro-memory-chip: Imprinting multiple memories in cultured neural networks;Baruchi;Phys Rev E,2007

3. Coemergence of regularity and complexity during neural network development;Fuchs;Dev Neurobiol,2007

4. Development, learning and memory in large random networks of cortical neurons: Lessons beyond anatomy;Marom;Q Rev Biophys,2002

5. Dynamics and plasticity in developing neuronal networks in vitro;Pelt;Prog Brain Res,2005

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