2000/07/01 by Naama Brenner, Steven Strong, R. Köberle +2 · 3 citations
Neuroscience · #Neural dynamics and brain function #Neurobiology and Insect Physiology Research #Photoreceptor and optogenetics research #Spike (software development) #Computer science #Code (set theory) #Neural coding #Carry (investment) #Artificial neural network #Spike train #Measure (data warehouse) #Population #Artificial intelligence #Pattern recognition (psychology) #Data mining #Set (abstract data type) #Programming language
paper · doi:10.1162/089976600300015259
openalex publication_date 2000/07/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/22
We show that the information carried by compound events in neural spike trains-patterns of spikes across time or across a population of cells-can be measured, independent of assumptions about what these patterns might represent. By comparing the information carried by a compound pattern with the information carried independently by its parts, we directly measure the synergy among these parts. We illustrate the use of these methods by applying them to experiments on the motion-sensitive neuron H1 of the fly's visual system, where we confirm that two spikes close together in time carry far more than twice the information carried by a single spike. We analyze the sources of this synergy and provide evidence that pairs of spikes close together in time may be especially important patterns in the code of H1.