Quantifying collectivity

BRYAN DANIELS, Christopher J. Ellison, David C. Krakauer, Jessica C. Flack

Research output: Contribution to journalReview article

10 Citations (Scopus)

Abstract

In biological function emerges from the interactions of components with only partially aligned interests. An example is the brain - a large aggregation of neurons capable of producing unitary, coherent output. A theory for how such aggregations produce coherent output remains elusive. A first question we might ask is how collective is the behavior of the components? Here we introduce two properties of collectivity and illustrate how these properties can be quantified using approaches from information theory and statistical physics. First, amplification quantifies the sensitivity of the large scale to information at the small scale and is related to the notion of criticality in statistical physics. Second, decomposability reveals the extent to which aggregate behavior is reducible to individual contributions or is the result of synergistic interactions among components forming larger subgroups. These measures facilitate identification of causally important components and subgroups that might be experimentally manipulated to study the evolution and controllability of biological circuits and their outputs.

Original languageEnglish (US)
Pages (from-to)106-113
Number of pages8
JournalCurrent Opinion in Neurobiology
Volume37
DOIs
StatePublished - Apr 1 2016

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Physics
Biological Evolution
Information Theory
Neurons
Brain

ASJC Scopus subject areas

  • Neuroscience(all)

Cite this

DANIELS, BRYAN., Ellison, C. J., Krakauer, D. C., & Flack, J. C. (2016). Quantifying collectivity. Current Opinion in Neurobiology, 37, 106-113. https://doi.org/10.1016/j.conb.2016.01.012

Quantifying collectivity. / DANIELS, BRYAN; Ellison, Christopher J.; Krakauer, David C.; Flack, Jessica C.

In: Current Opinion in Neurobiology, Vol. 37, 01.04.2016, p. 106-113.

Research output: Contribution to journalReview article

DANIELS, BRYAN, Ellison, CJ, Krakauer, DC & Flack, JC 2016, 'Quantifying collectivity', Current Opinion in Neurobiology, vol. 37, pp. 106-113. https://doi.org/10.1016/j.conb.2016.01.012
DANIELS, BRYAN ; Ellison, Christopher J. ; Krakauer, David C. ; Flack, Jessica C. / Quantifying collectivity. In: Current Opinion in Neurobiology. 2016 ; Vol. 37. pp. 106-113.
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