Linked Life Data

16188322

Source:http://linkedlifedata.com/resource/pubmed/id/16188322

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1-2
pubmed:dateCreated
2006-3-10
pubmed:abstractText
Cross-correlation histograms (CCHs) have been widely used to study the temporal relationship between pairwise recordings of neuronal signals. One interesting parameter of a CCH is the time position of the central peak which indicates delays between signals. In order to study the potential relevance of these delays which can be as small as 1 ms, it is necessary to measure them with high precision. We present a method for the estimation of the central peak's position that is based on fitting a cosine function to the CCH and show that the precision of this estimate can be tracked analytically. We validate the resulting formula by simulations and by the analysis of a sample dataset obtained from cat visual cortex. The results indicate that the time position of the center peak can be estimated with submillisecond precision. The formula allows one also to develop a test of statistical significance for differences between two sets of measurements.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0165-0270
pubmed:author
pubmed:issnType
Print
pubmed:day
15
pubmed:volume
152
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
97-106
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
Detection and assessment of near-zero delays in neuronal spiking activity.
pubmed:affiliation
Department of Computer Science and Mathematics, Johann Wolfgang Goethe University, Robert-Mayer-Str. 10, 60325 Frankfurt (Main), Germany. gaby.schneider@math.uni-frankfurt.de
pubmed:publicationType
Journal Article