title: Enhancing high-speed digitization of single-unit neuronal activity on a microcomputer using a hybrid software-hardware technique.
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.
authors.affiliation: Department of Neurology, University of Michigan, Ann Arbor 48104.
authors.forename: J W
authors.initials: JW
authors.lastname: Aldridge
authors.forename: J L
authors.initials: JL
authors.lastname: Walden
authors.forename: S
authors.initials: S
authors.lastname: Gilman
mesh_terms: D000200:Action Potentials; D000818:Animals; D002415:Cats; D003342:Corpus Striatum / Q000166:cytology / Q000502:physiology; D001330:Electronic Data Processing; D004594:Electrophysiology / Q000379:methods*; D005917:Globus Pallidus / Q000166:cytology / Q000502:physiology; D000882:Haplorhini; D008838:Microcomputers; D009474:Neurons / Q000502:physiology*; D012984:Software