Synergy in a neural code

Naama Brenner, Steven P. Strong, Roland Koberle, William Bialek, Rob R. De Ruyter Van Steveninck

Research output: Contribution to journalArticle

224 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)1531-1552
Number of pages22
JournalNeural computation
Volume12
Issue number7
DOIs
StatePublished - Jan 1 2000

All Science Journal Classification (ASJC) codes

  • Arts and Humanities (miscellaneous)
  • Cognitive Neuroscience

Fingerprint Dive into the research topics of 'Synergy in a neural code'. Together they form a unique fingerprint.

Cite this