Neuronal common input strength is unidentifiable from average firing rates and synchrony

Daniel Jeck; Ernst Niebur

doi:10.1109/CISS.2015.7086907

Neuronal common input strength is unidentifiable from average firing rates and synchrony

Daniel Jeck, Ernst Niebur

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

Abstract

Observing firing rates of neurons and the level of synchrony between them is a common technique to draw conclusions on the micro-circuitry of the neuronal network they are embedded in, and on the input they receive from other stages of the nervous system. These questions are obviously of great importance for understanding the nature of neural coding. Using a very simple model network of leaky integrate and fire neurons that receive a mixture of common and independent inputs, we show that separating a synchrony code from a firing rate code from measurements of average spike counts and spike-spike synchrony is mathematically impossible.

Original language	English (US)
Title of host publication	2015 49th Annual Conference on Information Sciences and Systems, CISS 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479984282
DOIs	https://doi.org/10.1109/CISS.2015.7086907
State	Published - Apr 15 2015
Event	2015 49th Annual Conference on Information Sciences and Systems, CISS 2015 - Baltimore, United States Duration: Mar 18 2015 → Mar 20 2015

Publication series

Name	2015 49th Annual Conference on Information Sciences and Systems, CISS 2015

Other

Other	2015 49th Annual Conference on Information Sciences and Systems, CISS 2015
Country/Territory	United States
City	Baltimore
Period	3/18/15 → 3/20/15

ASJC Scopus subject areas

Information Systems

Access to Document

10.1109/CISS.2015.7086907

Cite this

Jeck, D., & Niebur, E. (2015). Neuronal common input strength is unidentifiable from average firing rates and synchrony. In 2015 49th Annual Conference on Information Sciences and Systems, CISS 2015 Article 7086907 (2015 49th Annual Conference on Information Sciences and Systems, CISS 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CISS.2015.7086907

Neuronal common input strength is unidentifiable from average firing rates and synchrony. / Jeck, Daniel; Niebur, Ernst.
2015 49th Annual Conference on Information Sciences and Systems, CISS 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7086907 (2015 49th Annual Conference on Information Sciences and Systems, CISS 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Jeck, D & Niebur, E 2015, Neuronal common input strength is unidentifiable from average firing rates and synchrony. in 2015 49th Annual Conference on Information Sciences and Systems, CISS 2015., 7086907, 2015 49th Annual Conference on Information Sciences and Systems, CISS 2015, Institute of Electrical and Electronics Engineers Inc., 2015 49th Annual Conference on Information Sciences and Systems, CISS 2015, Baltimore, United States, 3/18/15. https://doi.org/10.1109/CISS.2015.7086907

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abstract = "Observing firing rates of neurons and the level of synchrony between them is a common technique to draw conclusions on the micro-circuitry of the neuronal network they are embedded in, and on the input they receive from other stages of the nervous system. These questions are obviously of great importance for understanding the nature of neural coding. Using a very simple model network of leaky integrate and fire neurons that receive a mixture of common and independent inputs, we show that separating a synchrony code from a firing rate code from measurements of average spike counts and spike-spike synchrony is mathematically impossible.",

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Neuronal common input strength is unidentifiable from average firing rates and synchrony

Abstract

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