Abstract
Identification of the causal relationships between pairs of neurons plays an important role in the study of synaptic interactions within the nervous system at the population level. The simplest approach uses the cross-correlation function between pairs of spike trains. However, cross-correlograms cannot tell whether the observed peaks or troughs in the correlation function derive from either direct or indirect connections, or result from a common input. This limitation can be partly overcome with the notion of partial correlation or conditional firing probability [1,2].
Highlights
Identification of the causal relationships between pairs of neurons plays an important role in the study of synaptic interactions within the nervous system at the population level
Sixteenth Annual Computational Neuroscience Meeting: CNS*2007 William R Holmes Meeting abstracts – A single PDF containing all abstracts in this Supplement is available here http://www.biomedcentral.com/content/pdf/1471-2202-8-S2-info.pdf
Crosscorrelograms cannot tell whether the observed peaks or troughs in the correlation function derive from either direct or indirect connections, or result from a common input
Summary
Identification of the causal relationships between pairs of neurons plays an important role in the study of synaptic interactions within the nervous system at the population level. Address: 1Neuroengineering and Bio-nano Technology group – NBT, DIBE, University of Genova, Genova, Italy, 2Italian Institute of Technology – IIT, Unit of Neuroscience and Brain Technology Genova, Italy, 3Sensors, Actuators and Microsystems Laboratory, IMT, University of Neuchâtel, Neuchâtel, Switzerland and 4Neurolab, DIST, University of Genova, Genova, Italy Email: Alessandro Ide* - noriaki@dist.unige.it * Corresponding author from Sixteenth Annual Computational Neuroscience Meeting: CNS*2007 Toronto, Canada. 7–12 July 2007 Published: 6 July 2007 BMC Neuroscience 2007, 8(Suppl 2):P63 doi:10.1186/1471-2202-8-S2-P63
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