Enhancing high-speed digitization of single-unit neuronal activity on a microcomputer using a hybrid software-hardware technique
dc.contributor.author | Aldridge, J. Wayne | en_US |
dc.contributor.author | Walden, Jonathan L. | en_US |
dc.contributor.author | Gilman, Sid | en_US |
dc.date.accessioned | 2006-04-07T20:48:10Z | |
dc.date.available | 2006-04-07T20:48:10Z | |
dc.date.issued | 1989-06 | en_US |
dc.identifier.citation | Aldridge, J. Wayne, Walden, Jonathan L., Gilman, Sid (1989/06)."Enhancing high-speed digitization of single-unit neuronal activity on a microcomputer using a hybrid software-hardware technique." Journal of Neuroscience Methods 28(3): 205-208. <http://hdl.handle.net/2027.42/27911> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6T04-484MDY0-GT/2/f9098b0d027c86e87f351b86c198b45f | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/27911 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=2502692&dopt=citation | en_US |
dc.description.abstract | A new data acquisition technique allows a microcomputer simultaneously to digitize spikes at high rates, analyze spike waveforms for computer-based spike separation and manage other control tasks. The technique has two key features: a software scheduling routine written in a high-level language and a hardware analog delay of neuronal signals using simple hardware external to the computer. The technique provides an alternative for real-time data acquisition and can be used on microcomputers without requiring interrupt processing and assembly language programming. | en_US |
dc.format.extent | 305161 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Enhancing high-speed digitization of single-unit neuronal activity on a microcomputer using a hybrid software-hardware technique | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Public Health | en_US |
dc.subject.hlbsecondlevel | Psychology | en_US |
dc.subject.hlbsecondlevel | Neurosciences | en_US |
dc.subject.hlbsecondlevel | Molecular, Cellular and Developmental Biology | en_US |
dc.subject.hlbtoplevel | Social Sciences | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Neurology, University of Michigan, Ann Arbor, MI, U.S.A. | en_US |
dc.contributor.affiliationum | Department of Neurology, University of Michigan, Ann Arbor, MI, U.S.A. | en_US |
dc.contributor.affiliationum | Department of Neurology, University of Michigan, Ann Arbor, MI, U.S.A. | en_US |
dc.identifier.pmid | 2502692 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/27911/1/0000332.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0165-0270(89)90037-X | en_US |
dc.identifier.source | Journal of Neuroscience Methods | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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