To use the personalized features of this site, please log in or register.
If you have forgotten your username or password, we can help.
My SpringerLink
Saved Items

The neurochrome
An identity preserving representation of activity patterns from neural populations

Willem Epping1, Henk van den Boogaard1, Ad Aertsen1, 2, Jos Eggermont1 and Peter Johannesma1

(1) Department of Medical Physics and Biophysics, University of Nijmegen, Geert Grooteplein Noord 21, NL-6525 EZ Nijmegen, The Netherlands
(2) Present address: Department of Physiology G4, School of Medicine, University of Pennsylvania, 19104 Philadelphia, PA, USA

Received: 3 August 1983  

Abstract  Recording of simultaneous but separated activity of neural populations overwhelms the experimenter with a large amount of information. A clearly structured display technique the ldquoNeurochromerdquo is introduced, usable on-line and real-time. It shows neural activity patterns while preserving neural identity by employing a color code. The Neurochrome assists the experimenter in generating and verifying hypotheses about neural correlations and stimulus-event relations already during the experiment. In auditory research single neurons are characterized by their spectro-temporal sensitivity to auditory stimuli. A straightforward generalization of this concept, applicable to neural populations, is proposed leading to a global indication of a populations' activity to stimuli: the Multi-Unit Spectro-Temporal Sensitivity. This approach is inversely related to the Neurochrome, the latter however containing more information. The combination of both approaches seems quite powerful in the investigation of neural assemblies. The procedures are illustrated with examples of extracellular multiunit recordings from the auditory midbrain of the grassfrog (Rana temporaria L.).

References secured to subscribers.

Export this article
Export this article as RIS | Text

The size of this document is 1,387 kilobytes. Although it may be a lengthier download, this is the most authoritative online format.

Open: Entire document

Referenced by
1 newer article

  1. Johannesma, P. I. M. (1985) Stochastic formulation of neural interaction. Acta Applicandae Mathematicae 4(2-3)
Remote Address: • Server: mpweb01
HTTP User Agent: Mozilla/5.0 (Windows; U; Windows NT 5.1; en-GB; rv: Gecko/20070312 Firefox/