Alpha-band EEG activity in perceptual learning.
Reads0
Chats0
TLDR
The hypothesis that PL, among other mechanisms, leads to task automaticity, especially in the presence of the trained stimuli is investigated, as transfer effects from trained to untrained stimuli may partially depend on differential effort of the individual at the time of stimulus processing.Abstract:
In studies of perceptual learning (PL), subjects are typically highly trained across many sessions to achieve perceptual benefits on the stimuli in those tasks. There is currently significant debate regarding what sources of brain plasticity underlie these PL-based learning improvements. Here we investigate the hypothesis that PL, among other mechanisms, leads to task automaticity, especially in the presence of the trained stimuli. To investigate this hypothesis, we trained participants for eight sessions to find an oriented target in a field of near-oriented distractors and examined alpha-band activity, which modulates with attention to visual stimuli, as a possible measure of automaticity. Alpha-band activity was acquired via electroencephalogram (EEG), before and after training, as participants performed the task with trained and untrained stimuli. Results show that participants underwent significant learning in this task (as assessed by threshold, accuracy, and reaction time improvements) and that alpha power increased during the pre-stimulus period and then underwent greater desynchronization at the time of stimulus presentation following training. However, these changes in alpha-band activity were not specific to the trained stimuli, with similar patterns of posttraining alpha power for trained and untrained stimuli. These data are consistent with the view that participants were more efficient at focusing resources at the time of stimulus presentation and are consistent with a greater automaticity of task performance. These findings have implications for PL, as transfer effects from trained to untrained stimuli may partially depend on differential effort of the individual at the time of stimulus processing.read more
Citations
More filters
Journal ArticleDOI
Spontaneous Neural Oscillations Bias Perception by Modulating Baseline Excitability.
TL;DR: Evidence is provided that heightened neural excitability instead reflects a state of biased perception, during which a person is more likely to see a stimulus, whether or not it is actually present, consistent with the baseline model.
Journal ArticleDOI
Spontaneous Brain Oscillations and Perceptual Decision-Making.
TL;DR: This synthesis reveals that the amplitude of ongoing low-frequency oscillations, particularly in the alpha-band (8-13 Hz), bias sensory responses and change conscious perception but not, surprisingly, the underlying sensitivity of perception.
Journal ArticleDOI
Towards a whole brain model of Perceptual Learning.
Marcello Maniglia,Aaron R. Seitz +1 more
TL;DR: It is suggested that learning on any task involves a broad network of brain regions undergoing changes in representations, read-out weights, decision rules, attention and feedback processes as well as oculomotor changes.
Journal ArticleDOI
Moment-to-Moment Fluctuations in Neuronal Excitability Bias Subjective Perception Rather than Strategic Decision-Making.
Luca Iemi,Niko A. Busch +1 more
TL;DR: The current state of neuronal excitability biases the perceptual experience itself, rather than the decision process, which is consistent with an effect of excitability on perceptual bias.
Journal ArticleDOI
Deep neural networks for modeling visual perceptual learning
Li Kevin Wenliang,Aaron R. Seitz +1 more
TL;DR: It is found that training a deep neural network (DNN) on an orientation discrimination task produced behavioral and physiological patterns similar to those found in human and monkey experiments, and fulfilled predictions of existing theories regarding specificity and plasticity.
References
More filters
Journal ArticleDOI
The Psychophysics Toolbox.
TL;DR: The Psychophysics Toolbox is a software package that supports visual psychophysics and its routines provide an interface between a high-level interpreted language and the video display hardware.
Journal ArticleDOI
FieldTrip: open source software for advanced analysis of MEG, EEG, and invasive electrophysiological data
TL;DR: FieldTrip is an open source software package that is implemented as a MATLAB toolbox and includes a complete set of consistent and user-friendly high-level functions that allow experimental neuroscientists to analyze experimental data.
Journal ArticleDOI
The Attention System of the Human Brain
TL;DR: Illustration de trois fonctions principales qui sont predominantes dans l'etude de l'intervention de l'sattention dans les processus cognitifs: 1) orientation vers des evenements sensoriels; 2) detection des signaux par processus focal; 3) maintenir la vigilance en etat d'alerte
Journal ArticleDOI
EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis
TL;DR: In this article, it is suggested to adjust the frequency windows of alpha and theta for each subject by using individual alpha frequency as an anchor point, based on this procedure, a consistent interpretation of a variety of findings is made possible.
Related Papers (5)
Shaping functional architecture by oscillatory alpha activity : gating by inhibition
Ole Jensen,Ali Mazaheri +1 more
EEG alpha oscillations: The inhibition–timing hypothesis
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis.
Arnaud Delorme,Scott Makeig +1 more