Literature DB >> 6095931

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

W Epping, H van den Boogaard, A Aertsen, J Eggermont, P Johannesma.   

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 "Neurochrome" 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.).

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Year:  1984        PMID: 6095931     DOI: 10.1007/bf00337073

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  11 in total

1.  Nerve-impulse patterns: a quantitative display technique for three neurons.

Authors:  D H Perkel; G L Gerstein; M S Smith; W G Tatton
Journal:  Brain Res       Date:  1975-12-19       Impact factor: 3.252

2.  On the stochastic dynamics of neuronal interaction.

Authors:  T J Sejnowski
Journal:  Biol Cybern       Date:  1976-05-17       Impact factor: 2.086

3.  Neuronal spike trains and stochastic point processes. II. Simultaneous spike trains.

Authors:  D H Perkel; G L Gerstein; G P Moore
Journal:  Biophys J       Date:  1967-07       Impact factor: 4.033

4.  Stimulus dependent neural correlations in the auditory midbrain of the grassfrog (Rana temporaria L.).

Authors:  J J Eggermont; W J Epping; A M Aertsen
Journal:  Biol Cybern       Date:  1983       Impact factor: 2.086

5.  Spectro-temporal receptive fields of auditory neurons in the grassfrog. III. Analysis of the stimulus-event relation for natural stimuli.

Authors:  A M Aertsen; J H Olders; P I Johannesma
Journal:  Biol Cybern       Date:  1981       Impact factor: 2.086

6.  A comparison of the spectro-temporal sensitivity of auditory neurons to tonal and natural stimuli.

Authors:  A M Aertsen; P I Johannesma
Journal:  Biol Cybern       Date:  1981       Impact factor: 2.086

7.  Spectro-temporal characteristics of single units in the auditory midbrain of the lightly anaesthetised grass frog (Rana temporaria L.) investigated with tonal stimuli.

Authors:  D J Hermes; J J Eggermont; A M Aertsen; P I Johannesma
Journal:  Hear Res       Date:  1982-01       Impact factor: 3.208

8.  Favored patterns in spike trains. II. Application.

Authors:  J E Dayhoff; G L Gerstein
Journal:  J Neurophysiol       Date:  1983-06       Impact factor: 2.714

9.  Favored patterns in spike trains. I. Detection.

Authors:  J E Dayhoff; G L Gerstein
Journal:  J Neurophysiol       Date:  1983-06       Impact factor: 2.714

10.  Simultaneous recording with 30 microelectrodes in monkey visual cortex.

Authors:  J Krüger; M Bach
Journal:  Exp Brain Res       Date:  1981       Impact factor: 1.972

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  3 in total

1.  Recurring discharge patterns in multiple spike trains. I. Detection.

Authors:  R D Frostig; Z Frostig; R M Harper
Journal:  Biol Cybern       Date:  1990       Impact factor: 2.086

2.  Colour representation of biomedical data.

Authors:  J P de Valk; W J Epping; A Heringa
Journal:  Med Biol Eng Comput       Date:  1985-07       Impact factor: 2.602

3.  VIOLA-A Multi-Purpose and Web-Based Visualization Tool for Neuronal-Network Simulation Output.

Authors:  Johanna Senk; Corto Carde; Espen Hagen; Torsten W Kuhlen; Markus Diesmann; Benjamin Weyers
Journal:  Front Neuroinform       Date:  2018-11-08       Impact factor: 4.081

  3 in total

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