Holdings: Neuronal network dynamics in 2D and 3D in vitro neuroengineered systems

Neuronal network dynamics in 2D and 3D in vitro neuroengineered systems:

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Bibliographic Details
Main Author:	Frega, Monica (Author)
Format:	Thesis Electronic eBook
Language:	English
Published:	[Cham] Springer [2016]
Series:	Springer theses : Recognizing outstanding Ph.D. research
Subjects:	Engineering Neurosciences Cell physiology Electronics Microelectronics Biomedical engineering Biomedical Engineering Cell Physiology Electronics and Microelectronics, Instrumentation Ingenieurwissenschaften Hochschulschrift
Online Access:	BTU01 FAB01 FAW01 FHA01 FHI01 FHN01 FHR01 FKE01 FRO01 FWS01 FWS02 UBY01 Volltext Inhaltsverzeichnis Abstract
Physical Description:	1 Online-Ressource (XIII, 148 p. 97 illus., 43 illus. in color)
ISBN:	9783319302379
DOI:	10.1007/978-3-319-30237-9

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adam_text	NEURONAL NETWORK DYNAMICS IN 2D AND 3D IN VITRO NEUROENGINEERED SYSTEMS / FREGA, MONICA : 2016 TABLE OF CONTENTS / INHALTSVERZEICHNIS INTRODUCTION DISSOCIATED NEURONAL NETWORKS COUPLED TO MICRO-ELECTRODE ARRAYS DEVICES IN VITRO NEURONAL NETWORKS 3D NEURONAL NETWORKS: STATE OF THE ART 3D NEURONAL NETWORKS COUPLED TO MEAS NEURO-PHARMACOLOGICAL STUDIES DISCUSSION AND CONCLUSION DATA ANALYSIS DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT. NEURONAL NETWORK DYNAMICS IN 2D AND 3D IN VITRO NEUROENGINEERED SYSTEMS / FREGA, MONICA : 2016 ABSTRACT / INHALTSTEXT 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. DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
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author	Frega, Monica
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physical	1 Online-Ressource (XIII, 148 p. 97 illus., 43 illus. in color)
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publishDate	2016
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publishDateSort	2016
publisher	Springer
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series2	Springer theses : Recognizing outstanding Ph.D. research
spellingShingle	Frega, Monica Neuronal network dynamics in 2D and 3D in vitro neuroengineered systems Engineering Neurosciences Cell physiology Electronics Microelectronics Biomedical engineering Biomedical Engineering Cell Physiology Electronics and Microelectronics, Instrumentation Ingenieurwissenschaften
subject_GND	(DE-588)4113937-9
title	Neuronal network dynamics in 2D and 3D in vitro neuroengineered systems
title_auth	Neuronal network dynamics in 2D and 3D in vitro neuroengineered systems
title_exact_search	Neuronal network dynamics in 2D and 3D in vitro neuroengineered systems
title_full	Neuronal network dynamics in 2D and 3D in vitro neuroengineered systems Monica Frega
title_fullStr	Neuronal network dynamics in 2D and 3D in vitro neuroengineered systems Monica Frega
title_full_unstemmed	Neuronal network dynamics in 2D and 3D in vitro neuroengineered systems Monica Frega
title_short	Neuronal network dynamics in 2D and 3D in vitro neuroengineered systems
title_sort	neuronal network dynamics in 2d and 3d in vitro neuroengineered systems
topic	Engineering Neurosciences Cell physiology Electronics Microelectronics Biomedical engineering Biomedical Engineering Cell Physiology Electronics and Microelectronics, Instrumentation Ingenieurwissenschaften
topic_facet	Engineering Neurosciences Cell physiology Electronics Microelectronics Biomedical engineering Biomedical Engineering Cell Physiology Electronics and Microelectronics, Instrumentation Ingenieurwissenschaften Hochschulschrift
url	https://doi.org/10.1007/978-3-319-30237-9 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028920352&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028920352&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT fregamonica neuronalnetworkdynamicsin2dand3dinvitroneuroengineeredsystems

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