KOPS - The Institutional Repository of the University of Konstanz

Coemergence of regularity and complexity during neural network development

Coemergence of regularity and complexity during neural network development

Cite This

Files in this item

Files Size Format View

There are no files associated with this item.

FUCHS, Einat, Amir AYALI, Anat ROBINSON, Eyal HULATA, Eshel BEN-JACOB, 2007. Coemergence of regularity and complexity during neural network development. In: Developmental Neurobiology. 67(13), pp. 1802-1814. ISSN 0022-3034. eISSN 1097-4695. Available under: doi: 10.1002/dneu.20557

@article{Fuchs2007-11Coeme-46905, title={Coemergence of regularity and complexity during neural network development}, year={2007}, doi={10.1002/dneu.20557}, number={13}, volume={67}, issn={0022-3034}, journal={Developmental Neurobiology}, pages={1802--1814}, author={Fuchs, Einat and Ayali, Amir and Robinson, Anat and Hulata, Eyal and Ben-Jacob, Eshel} }

<rdf:RDF xmlns:dcterms="http://purl.org/dc/terms/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:void="http://rdfs.org/ns/void#" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/46905"> <dc:contributor>Fuchs, Einat</dc:contributor> <foaf:homepage rdf:resource="http://localhost:8080/jspui"/> <dc:contributor>Ayali, Amir</dc:contributor> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2019-09-17T12:42:49Z</dcterms:available> <dcterms:title>Coemergence of regularity and complexity during neural network development</dcterms:title> <dc:creator>Fuchs, Einat</dc:creator> <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/28"/> <dc:creator>Robinson, Anat</dc:creator> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2019-09-17T12:42:49Z</dc:date> <dc:creator>Hulata, Eyal</dc:creator> <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/> <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/rdf/resource/123456789/28"/> <dc:contributor>Ben-Jacob, Eshel</dc:contributor> <dc:language>eng</dc:language> <dc:creator>Ayali, Amir</dc:creator> <dcterms:issued>2007-11</dcterms:issued> <dcterms:abstract xml:lang="eng">With the growing recognition that rhythmic and oscillatory patterns are widespread in the brain and play important roles in all aspects of the function of our nervous system, there has been a resurgence of interest in neuronal synchronized bursting activity. Here, we were interested in understanding the development of synchronized bursts as information-bearing neuronal activity patterns. For that, we have monitored the morphological organization and spontaneous activity of neuronal networks cultured on multielectrode-arrays during their self-executed evolvement from a mixture of dissociated cells into an active network. Complex collective network electrical activity evolved from sporadic firing patterns of the single neurons. On the system (network) level, the activity was marked by bursting events with interneuronal synchronization and nonarbitrary temporal ordering. We quantified these individual-to-collective activity transitions using newly-developed system level quantitative measures of time series regularity and complexity. We found that individual neuronal activity before synchronization was characterized by high regularity and low complexity. During neuronal wiring, there was a transient period of reorganization marked by low regularity, which then leads to coemergence of elevated regularity and functional (nonstochastic) complexity. We further investigated the morphology-activity interplay by modeling artificial neuronal networks with different topological organizations and connectivity schemes. The simulations support our experimental results by showing increased levels of complexity of neuronal activity patterns when neurons are wired up and organized in clusters (similar to mature real networks), as well as network-level activity regulation once collective activity forms.</dcterms:abstract> <dc:contributor>Robinson, Anat</dc:contributor> <dc:creator>Ben-Jacob, Eshel</dc:creator> <dc:contributor>Hulata, Eyal</dc:contributor> <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/46905"/> </rdf:Description> </rdf:RDF>

This item appears in the following Collection(s)

Search KOPS


My Account