Diversity improves performance in excitable networks

Leonardo L. Gollo, Mauro Copelli, James A. Roberts

Research output: Contribution to journalArticleResearchpeer-review

11 Citations (Scopus)

Abstract

As few real systems comprise indistinguishable units, diversity is a hallmark of nature. Diversity among interacting units shapes properties of collective behavior such as synchronization and information transmission. However, the benefits of diversity on information processing at the edge of a phase transition, ordinarily assumed to emerge from identical elements, remain largely unexplored. Analyzing a general model of excitable systems with heterogeneous excitability, we find that diversity can greatly enhance optimal performance (by two orders of magnitude) when distinguishing incoming inputs. Heterogeneous systems possess a subset of specialized elements whose capability greatly exceeds that of the nonspecialized elements. Wealso find that diversity can yield multiple percolation, with performance optimized at tricriticality. Our results are robust in specific and more realistic neuronal systems comprising a combination of excitatory and inhibitory units, and indicate that diversity-induced amplification can be harnessed by neuronal systems for evaluating stimulus intensities.

Original languageEnglish
Article numbere1912
Number of pages20
JournalPeerJ
Volume2016
Issue number4
DOIs
Publication statusPublished - 25 Apr 2016
Externally publishedYes

Keywords

  • Criticality
  • Diversity
  • Intensity coding
  • Nonlinear computation
  • Sensory systems

Cite this