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dc.citation.endPage 13763 -
dc.citation.number 37 -
dc.citation.startPage 13758 -
dc.citation.title PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA -
dc.citation.volume 105 -
dc.contributor.author Soriano, Jordi -
dc.contributor.author Martinez, Maria Rodriguez -
dc.contributor.author Tlusty, Tsvi -
dc.contributor.author Moses, Elisha -
dc.date.accessioned 2023-12-22T08:36:48Z -
dc.date.available 2023-12-22T08:36:48Z -
dc.date.created 2020-02-20 -
dc.date.issued 2008-09 -
dc.description.abstract We introduce an approach for the quantitative assessment of the connectivity in neuronal cultures, based on the statistical mechanics of percolation on a graph. This allows us to monitor the development of the culture and to see the emergence of connectivity in the network. The culture becomes fully connected at a time equivalent to the expected time of birth. The spontaneous bursting activity that characterizes cultures develops in parallel with the connectivity. The average number of inputs per neuron can be quantitatively determined in units of m(0), the number of activated inputs needed to excite the neuron. For m(0) similar or equal to 15 we find that hippocampal neurons have on average approximate to 60-120 inputs, whereas cortical neurons have approximate to 75-150, depending on neuronal density. The ratio of excitatory to inhibitory neurons is determined by using the GABA(A) antagonist bicuculine. This ratio changes during development and reaches the final value at day 7-8, coinciding with the expected time of the GABA switch. For hippocampal cultures the inhibitory cells comprise approximate to 30% of the neurons in the culture whereas for cortical cultures they are approximate to 20%. Such detailed global information on the connectivity of networks in neuronal cultures is at present inaccessible by any electrophysiological or other technique. -
dc.identifier.bibliographicCitation PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, v.105, no.37, pp.13758 - 13763 -
dc.identifier.doi 10.1073/pnas.0707492105 -
dc.identifier.issn 0027-8424 -
dc.identifier.scopusid 2-s2.0-52949145252 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/31191 -
dc.identifier.url https://www.pnas.org/content/105/37/13758 -
dc.identifier.wosid 000259438500017 -
dc.language 영어 -
dc.publisher NATL ACAD SCIENCES -
dc.title Development of input connections in neural cultures -
dc.type Article -
dc.description.isOpenAccess FALSE -
dc.relation.journalWebOfScienceCategory Multidisciplinary Sciences -
dc.relation.journalResearchArea Science & Technology - Other Topics -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor neural network -
dc.subject.keywordAuthor network connectivity -
dc.subject.keywordAuthor inhibition -
dc.subject.keywordAuthor graph theory -
dc.subject.keywordAuthor percolation -
dc.subject.keywordPlus NETWORKS -
dc.subject.keywordPlus GABA -
dc.subject.keywordPlus NEURONS -
dc.subject.keywordPlus SYNCHRONIZATION -
dc.subject.keywordPlus SYNAPSES -
dc.subject.keywordPlus DYNAMICS -
dc.subject.keywordPlus LESSONS -
dc.subject.keywordPlus SWITCH -

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