Impact of correlated inputs to neurons: modeling observations from in vivo intracellular recordings
2014 (English)In: Journal of Computational Neuroscience, ISSN 0929-5313, E-ISSN 1573-6873, Vol. 37, no 2, 293-304 p.Article in journal (Refereed) Published
In vivo recordings in rat somatosensory cortex suggest that excitatory and inhibitory inputs are often correlated during spontaneous and sensory-evoked activity. Using a computational approach, we study how the interplay of input correlations and timing observed in experiments controls the spiking probability of single neurons. Several correlation-based mechanisms are identified, which can effectively switch a neuron on and off. In addition, we investigate the transfer of input correlation to output correlation in pairs of neurons, at the spike train and the membrane potential levels, by considering spike-driving and non-spike-driving inputs separately. In particular, we propose a plausible explanation for the in vivo finding that membrane potentials in neighboring neurons are correlated, but the spike-triggered averages of membrane potentials preceding a spike are not: Neighboring neurons possibly receive an ongoing bombardment of correlated subthreshold background inputs, and occasionally uncorrelated spike-driving inputs.
Place, publisher, year, edition, pages
Springer, 2014. Vol. 37, no 2, 293-304 p.
Input correlation, Rate modulation, Correlation transfer, Temporal structure, Barrel cortex
Neurosciences Bioinformatics (Computational Biology)
IdentifiersURN: urn:nbn:se:kth:diva-154855DOI: 10.1007/s10827-014-0502-zISI: 000342062400007ScopusID: 2-s2.0-84901738303OAI: oai:DiVA.org:kth-154855DiVA: diva2:758886
QC 201503032014-10-282014-10-282016-04-15Bibliographically approved