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Updated: Feb 27, 2026

Measurement of Neurophysiological Signals of Ignoring and Attending Processes in Attention Control
Published on: July 5, 2015
Two different mechanisms support selective attention at different phases of training.
Sirawaj Itthipuripat1, Kexin Cha2, Anna Byers2
1Neurosciences Graduate Program, University of California, San Diego, La Jolla, California, United States of America.
Extensive training changes how selective attention works in the brain. Initially, attention boosts neural responses, but with practice, it reduces neural noise to improve performance.
Area of Science:
- Neuroscience
- Cognitive Science
- Psychology
Background:
- Selective attention prioritizes relevant sensory information for goal-directed behavior.
- Human studies link attentional gain in cortical responses to behavioral improvements.
- Nonhuman primate studies suggest neural noise reduction explains attention's behavioral facilitation.
Purpose of the Study:
- To reconcile competing accounts of attention by testing if behavioral training alters neural mechanisms.
- To investigate how extensive training impacts the neural basis of selective spatial attention.
Main Methods:
- Used electroencephalography (EEG) to measure visual responses in human subjects.
- Subjects performed a selective spatial attention task over ~1 month.
- Applied a signal detection theory (SDT) model to link neural responses to behavior.
Main Results:
- Early in training, spatial attention increased the gain of stimulus-evoked visual responses (~100 ms post-stimulus).
- After extensive training, early attentional gain diminished, yet behavioral improvements persisted.
- The SDT model required noise reduction, not gain, to explain behavior-linked neural responses post-training.
Conclusions:
- Extensive behavioral training fundamentally changes how attention modulates early cortical processing.
- Findings suggest training shifts attention mechanisms from response gain to noise reduction.
- These results aid in translating findings across species and training paradigms.
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