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Related Experiment Video

Updated: Apr 13, 2026

P300-Based Brain-Computer Interface Speller Performance Estimation with Classifier-Based Latency Estimation
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The classic P300 encodes a build-to-threshold decision variable.

Deirdre M Twomey1, Peter R Murphy2, Simon P Kelly3

  • 1Trinity College Institute of Neuroscience, Lloyd Building, Trinity College Dublin, Dublin 2, Ireland.

The European Journal of Neuroscience
|May 1, 2015
PubMed
Summary
This summary is machine-generated.

The P300 brainwave, crucial for cognition, acts as a decision variable, accumulating evidence before a response. Its dynamics reveal it as a signature of decision formation, not a single event.

Keywords:
EEGERPP300drift diffusion modelperceptual decision-making

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Area of Science:

  • Cognitive Neuroscience
  • Neurophysiology
  • Human Brain Research

Background:

  • The P300 event-related potential is extensively studied for its cognitive relevance and sensitivity to brain disorders.
  • Its precise role in cognitive processes remains unclear despite decades of research.

Purpose of the Study:

  • To investigate the P300's function as a decision variable signal.
  • To analyze P300 dynamics in relation to evidence accumulation and decision bounds.

Main Methods:

  • Analysis of P300 potentials elicited by auditory and visual targets.
  • Computational simulations of an evidence accumulation-to-bound model.
  • Fitting model parameters to reaction time (RT) distributions.

Main Results:

  • P300 amplitude stabilizes before response execution.
  • P300 rise rate correlates with target detection difficulty and RT variance.
  • Computational models accurately replicate P300 dynamics.

Conclusions:

  • The P300 is a dynamic neural signature of decision formation, not a unitary event.
  • Findings support a mechanistically principled framework for understanding decision-making.
  • This framework applies to both typical and atypical brain function.