Enhancing high-speed digitization of single-unit neuronal activity on a microcomputer using a hybrid software-hardware technique.
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.
Aldridge
J W
JW
Department of Neurology, University of Michigan, Ann Arbor 48104.
Walden
J L
JL
Gilman
S
S
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