Neuronal network dynamics in 2D and 3D in vitro neuroengineered systems /
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Author / Creator: | Frega, Monica, author. |
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Imprint: | Cham : Springer, 2016. |
Description: | 1 online resource (xiii, 148 pages) : illustrations (some color) |
Language: | English |
Series: | Springer theses, 2190-5053 Springer theses, |
Subject: | Neural networks (Neurobiology) Electrophysiology. Nerve Net. Electrophysiology. Cellular biology (cytology) Electronics engineering. Neurosciences. Biomedical engineering. SOCIAL SCIENCE -- Anthropology -- Physical. Electrophysiology. Neural networks (Neurobiology) Electronic books. Electronic books. |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11253494 |
ISBN: | 9783319302379 331930237X 3319302361 9783319302362 9783319302362 |
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Digital file characteristics: | text file PDF |
Notes: | "Doctoral thesis accepted by the University of Genoa, Italy." Includes bibliographical references. English. Online resource; title from PDF title page (SpringerLink, viewed March 8, 2016). |
Summary: | The book presents a new, powerful model of neuronal networks, consisting of a three-dimensional neuronal culture in which 3D neuronal networks are coupled to micro-electrode-arrays (MEAs). It discusses the main advantages of the three-dimensional system compared to its two-dimensional counterpart, and shows that the network dynamics, recorded during both spontaneous and stimulated activity, differs between the two models, with the 3D system being better able to emulate the in vivo behaviour of neural networks. The book offers an extensive analysis of the system, from the theoretical background, to its design and applications in neuro-pharmacological studies. Moreover, it includes a concise yet comprehensive introduction to both 2D and 3D neuronal networks coupled to MEAs, and discusses the advantages, limitations and challenges of their applications as cellular and tissue-like in vitro experimental model systems. <. |
Other form: | Printed edition: 9783319302362 |
Standard no.: | 10.1007/978-3-319-30237-9 |
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