Journal ArticleDOI
Computer assisted unit data acquisition/reduction
Richard J Radna,William J Vaughn +1 more
TLDR
This system digitally processes uninterrupted, continuous unit data with attention to waveform detail with a great economy of the user's time because the computer performs all data processing.About:
This article is published in Electroencephalography and Clinical Neurophysiology.The article was published on 1978-02-01. It has received 9 citations till now. The article focuses on the topics: Data acquisition & Computer graphics.read more
Citations
More filters
Journal ArticleDOI
Vagal elicitation of respiratory-type and other unit responses in basal limbic structures of squirrel monkeys.
Richard J. Radna,Paul D. MacLean +1 more
TL;DR: Basal limbic structures (insula, amygdala, hippocampus and surrounding areas) were explored for unit responses to vagal volleys in awake, sitting, squirrel monkeys and it can be concluded that the discharge of respiratory-type units is not dependent on olfactory inputs.
Journal ArticleDOI
Spike separation in multiunit records: a multivariate analysis of spike descriptive parameters.
J.F Vibert,J Costa +1 more
TL;DR: Variables describing unit discharges from multiunit extracellular records were treated, using multivariate statistical analysis for further automatic spike separation, and three parameters turned out to be sufficient for spike discrimination.
Journal ArticleDOI
Single unit components of the hypothalamic multiunit electrical activity associated with the central signal generator that directs the pulsatile secretion of gonadotropic hormones
TL;DR: The results indicate that the MUA volleys associated with the activity of the gonadotropin-releasing hormone pulse generator represent the simultaneous increase in firing rate of some individual hypothalamic neurons and the decrease in the frequency of others.
Journal ArticleDOI
Spike detection, characterization, and discrimination using feature analysis software written in LabVIEW
TL;DR: An algorithm that performs detection, characterization, discrimination, and analysis of action potentials from extracellular recording sessions is presented, confirming that electrophysiological data may be discriminated with high-speed and efficiency using algebraic combinations of waveform features derived from high- Speed digital records.