Record ID | harvard_bibliographic_metadata/ab.bib.12.20150123.full.mrc:90734021:1859 |
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LEADER: 01859nam a2200433 a 4500
001 012078436-X
005 20090923131836.0
008 060622s2006 nyua b 001 0 eng c
010 $a 2005925103
016 7 $a101279979$2DNLM
016 7 $a977506762$2GyFmDB
020 $a0387258574
020 $a9780387258577
035 0 $aocm69105231
040 $aUBY$cUBY$dNLM$dOHX$dBAKER$dORU$dCUS$dYDXCP
042 $apcc
050 4 $aQH517$b.A38 2006
060 00 $a2006 H-350
060 10 $aWL 102$bA2445 2006
072 7 $aTK$2lcco
245 00 $aAdvances in network electrophysiology :$busing multi-electrode arrays /$cMakoto Taketani, Michel Baudry, editors.
260 $aNew York :$bSpringer,$cc2006.
300 $axvii, 478 p. :$bill. (some col.) ;$c24 cm.
500 $a"With 222 illustrations, 13 in full color."
504 $aIncludes bibliographical references and index.
520 $aExplores methods for using electrophysiological techniques for monitoring the concurrent activity of ensembles of single neurons. It reviews the recent progress in both electronics and computational tools developed to analyze the functional operations of large ensembles of neurons using multi-electrode arrays and in vitro preparations. In addition, it gives readers a sense of the applications made possible by these technological tools.
650 0 $aElectrophysiology.
650 0 $aElectrodes.
650 12 $aElectrophysiology.
650 12 $aNerve Net$xphysiology.
650 22 $aAction Potentials$xphysiology.
650 22 $aBrain Mapping$xmethods.
650 22 $aElectric Stimulation$xmethods.
650 22 $aModels, Neurological.
700 1 $aTaketani, Makoto.
700 1 $aBaudry, M.
776 08 $iOnline version:$tAdvances in network electrophysiology.$dNew York : Springer, c2006$w(OCoLC)607855830
988 $a20090916
906 $0OCLC