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Consequences of degeneracy in network function.

Elizabeth C Cropper¹, Andrew M Dacks², Klaudiusz R Weiss¹

¹Department of Neuroscience, Mount Sinai School of Medicine, 1 Gustave Levy Place, New York, NY 10029, United States.

Current Opinion in Neurobiology

|September 3, 2016

Summary

This summary is machine-generated.

Network degeneracy, where different components perform similar roles, enhances robustness and may be crucial for memory formation and task switching. This biological phenomenon offers functional advantages beyond simple regulation.

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Perspectives on Neuroscience

Perspectives on Neuroscience

Published on: July 31, 2007

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Perspectives on Neuroscience

Perspectives on Neuroscience

Published on: July 31, 2007

Area of Science:

Neuroscience
Systems Biology
Computational Neuroscience

Background:

Networks often exhibit degeneracy, with distinct elements fulfilling similar functions.
The functional significance of network degeneracy remains incompletely understood.
It is debated whether degeneracy reflects beneficial robustness or regulatory efficiency.

Purpose of the Study:

To review evidence suggesting network degeneracy is functionally beneficial.
To explore the implications of degeneracy for network robustness and function.
To highlight the underappreciated functional consequences of network degeneracy.

Main Methods:

Literature review of studies investigating network degeneracy.
Analysis of circumstances where degeneracy appears advantageous.
Examination of theoretical frameworks and experimental data.

Main Results:

Data strongly suggest that network degeneracy enhances functional robustness.
Degeneracy has significant functional consequences, particularly in modulated networks.
Network history and persistent modulators interact with degeneracy.

Conclusions:

Network degeneracy is likely a beneficial mechanism promoting robustness.
Degeneracy may play a critical role in forming latent memories.
It is potentially important for state-dependent task switching.