Abstract
A FREQUENT requirement in the analysis of biological data is the classification of time-intervals. Thus one might wish to know the most probable interval between heart-beats, or the most probable reaction time of forefinger movements in response to sound. The usual way of acquiring this sort of information is by manual measurements of relatively long biological records. This method, however, can become extremely time-consuming when the number of biological signals to be classified is large. An example may serve to illustrate our point. The neurons of the unanæsthetized, unstimulated cat's brain are in a state of continual ‘spontaneous’ activity. Their mean frequency of discharge per minute is constant (some 5–20/sec.) when observed over long periods of time, but it appears impossible to predict with certainty the exact time at which the next action potential in a series will occur. Cells in the resting visual cortex are also engaged in continual activity, but will respond to a flash of light focused upon the retina with an increased probability of discharge. One can state the relationship between stimulus and response in these circumstances only in terms of probability, since any particular flash of an identical series may or may not be followed by an action potential.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 51 print issues and online access
$199.00 per year
only $3.90 per issue
Buy this article
- Purchase on Springer Link
- Instant access to full article PDF
Prices may be subject to local taxes which are calculated during checkout
Similar content being viewed by others
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
SMITH, G., BURNS, B. A Biological Interval Analyser. Nature 187, 512–513 (1960). https://doi.org/10.1038/187512a0
Issue Date:
DOI: https://doi.org/10.1038/187512a0
Comments
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.