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Related Experiment Video

Updated: Jan 24, 2026

Fine-tuning the Size and Minimizing the Noise of Solid-state Nanopores

Fine-tuning the Size and Minimizing the Noise of Solid-state Nanopores

Published on: October 31, 2013

Noise that knows its place.

Jonas Obleser¹, Judith Kunze¹

¹Department of Psychology, University of Lübeck, Lübeck, Germany; Center of Brain, Behavior, and Metabolism, University of Lübeck, Lübeck, Germany.

|January 22, 2026

Summary

This summary is machine-generated.

Neural signal variability reveals a hidden structure, with a gradient from sensory to association areas. This brain organization offers adaptive benefits for human behavior.

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Last Updated: Jan 24, 2026

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Area of Science:

Neuroscience
Computational Neuroscience
Cognitive Neuroscience

Background:

Neural signal variability was previously considered noise.
Recent research suggests potential functional roles for this variability.

Purpose of the Study:

To investigate the structure within neural signal variability.
To explore the functional implications of neural variability gradients in the human brain.

Main Methods:

Brain-wide analysis of neural signals.
Examination of variability across different brain regions, specifically sensory and association areas.

Main Results:

Identification of a sensory-to-association gradient in neural variability.
Demonstration of adaptive benefits linked to this neural variability gradient in human behavior.

Conclusions:

Neural variability is not random noise but possesses underlying structure.
This structure, particularly the identified gradient, plays a crucial role in adaptive human behavior.