
doi: 10.1007/bf00339981
pmid: 6838913
Temporary correlated activity of neuron assemblies is believed to play a substantial role for the brain's pattern recognition ability. To study the underlying principles of such mechanisms, a method is proposed for the characterization of the interneuronal and stimulus-response coupling changes of two periodically driven and simultaneously recorded units. The coupling measure is derived from the cross correlation function by calculating the actual correlation contributions without performing the subsequent time-average (which would give the cross correlation function). Examples are given for simultaneously recorded spike trains from visual cortical units, but the method can be applied equally well to evoked potentials or intracellular recordings.
Neurons, Models, Neurological, Cats, Visual Perception, Animals, Evoked Potentials, Mathematics, Visual Cortex
Neurons, Models, Neurological, Cats, Visual Perception, Animals, Evoked Potentials, Mathematics, Visual Cortex
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 29 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
