| pubmed-article:17709240 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:17709240 | lifeskim:mentions | umls-concept:C0032659 | lld:lifeskim |
| pubmed-article:17709240 | lifeskim:mentions | umls-concept:C0027882 | lld:lifeskim |
| pubmed-article:17709240 | lifeskim:mentions | umls-concept:C0441655 | lld:lifeskim |
| pubmed-article:17709240 | lifeskim:mentions | umls-concept:C0033213 | lld:lifeskim |
| pubmed-article:17709240 | pubmed:issue | 4 | lld:pubmed |
| pubmed-article:17709240 | pubmed:dateCreated | 2007-10-12 | lld:pubmed |
| pubmed-article:17709240 | pubmed:abstractText | Understanding how the brain performs computations requires understanding neuronal firing patterns at successive levels of processing-a daunting and seemingly intractable task. Two recent studies have made dramatic progress on this problem by showing how its dimensionality can be reduced. Using the retina as a model system, they demonstrated that multineuronal firing patterns can be predicted by pairwise interactions. | lld:pubmed |
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| pubmed-article:17709240 | pubmed:language | eng | lld:pubmed |
| pubmed-article:17709240 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:17709240 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:17709240 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:17709240 | pubmed:month | Aug | lld:pubmed |
| pubmed-article:17709240 | pubmed:issn | 0959-4388 | lld:pubmed |
| pubmed-article:17709240 | pubmed:author | pubmed-author:VictorJonatha... | lld:pubmed |
| pubmed-article:17709240 | pubmed:author | pubmed-author:NirenbergShei... | lld:pubmed |
| pubmed-article:17709240 | pubmed:issnType | Print | lld:pubmed |
| pubmed-article:17709240 | pubmed:volume | 17 | lld:pubmed |
| pubmed-article:17709240 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:17709240 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:17709240 | pubmed:pagination | 397-400 | lld:pubmed |
| pubmed-article:17709240 | pubmed:dateRevised | 2011-9-26 | lld:pubmed |
| pubmed-article:17709240 | pubmed:meshHeading | pubmed-meshheading:17709240... | lld:pubmed |
| pubmed-article:17709240 | pubmed:meshHeading | pubmed-meshheading:17709240... | lld:pubmed |
| pubmed-article:17709240 | pubmed:meshHeading | pubmed-meshheading:17709240... | lld:pubmed |
| pubmed-article:17709240 | pubmed:meshHeading | pubmed-meshheading:17709240... | lld:pubmed |
| pubmed-article:17709240 | pubmed:meshHeading | pubmed-meshheading:17709240... | lld:pubmed |
| pubmed-article:17709240 | pubmed:meshHeading | pubmed-meshheading:17709240... | lld:pubmed |
| pubmed-article:17709240 | pubmed:meshHeading | pubmed-meshheading:17709240... | lld:pubmed |
| pubmed-article:17709240 | pubmed:meshHeading | pubmed-meshheading:17709240... | lld:pubmed |
| pubmed-article:17709240 | pubmed:meshHeading | pubmed-meshheading:17709240... | lld:pubmed |
| pubmed-article:17709240 | pubmed:year | 2007 | lld:pubmed |
| pubmed-article:17709240 | pubmed:articleTitle | Analyzing the activity of large populations of neurons: how tractable is the problem? | lld:pubmed |
| pubmed-article:17709240 | pubmed:affiliation | Department of Physiology and Biophysics, Weill Medical College of Cornell University, 1300 York Avenue, New York, NY 10021, USA. shn201@med.cornell.edu | lld:pubmed |
| pubmed-article:17709240 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:17709240 | pubmed:publicationType | Review | lld:pubmed |
| pubmed-article:17709240 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
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