scholarly journals Different Dynamics of Performance and Brain Activation in the Time Course of Perceptual Learning

Neuron ◽  
2008 ◽  
Vol 57 (6) ◽  
pp. 827-833 ◽  
Author(s):  
Yuko Yotsumoto ◽  
Takeo Watanabe ◽  
Yuka Sasaki
Keyword(s):  
Perceptual Learning ◽  
Time Course ◽  
Brain Activation

Time course of brain activation elicited by basic emotions

Neuroreport ◽  
2013 ◽  
Vol 24 (16) ◽  
pp. 898-902 ◽  
Author(s):  
Pascal Hot ◽  
Henrique Sequeira
Keyword(s):  
Time Course ◽  
Brain Activation ◽  
Basic Emotions

scholarly journals Assessing the detailed time course of perceptual sensitivity change in perceptual learning

2019 ◽  
Vol 19 (5) ◽  
pp. 9 ◽  
Author(s):  
Pan Zhang ◽  
Yukai Zhao ◽  
Barbara Anne Dosher ◽  
Zhong-Lin Lu
Keyword(s):  
Perceptual Learning ◽  
Time Course ◽  
Perceptual Sensitivity ◽  
Sensitivity Change

The time course of auditory perceptual learning

Neuroreport ◽  
1998 ◽  
Vol 9 (16) ◽  
pp. 3557-3560 ◽  
Author(s):  
K Tremblay ◽  
N Kraus ◽  
T McGee
Keyword(s):  
Perceptual Learning ◽  
Time Course

scholarly journals Improving the performance of the amblyopic visual system

2008 ◽  
Vol 364 (1515) ◽  
pp. 399-407 ◽  
Author(s):  
Dennis M Levi ◽  
Roger W Li
Keyword(s):  
Visual System ◽  
Perceptual Learning ◽  
Neural Plasticity ◽  
Time Course ◽  
Clinical Evidence ◽  
Sensory Function ◽  
Sensitive Period ◽  
Visual Improvement ◽  
Perceptual Performance ◽  
Effectiveness And Efficiency

Experience-dependent plasticity is closely linked with the development of sensory function; however, there is also growing evidence for plasticity in the adult visual system. This review re-examines the notion of a sensitive period for the treatment of amblyopia in the light of recent experimental and clinical evidence for neural plasticity. One recently proposed method for improving the effectiveness and efficiency of treatment that has received considerable attention is ‘perceptual learning’. Specifically, both children and adults with amblyopia can improve their perceptual performance through extensive practice on a challenging visual task. The results suggest that perceptual learning may be effective in improving a range of visual performance and, importantly, the improvements may transfer to visual acuity. Recent studies have sought to explore the limits and time course of perceptual learning as an adjunct to occlusion and to investigate the neural mechanisms underlying the visual improvement. These findings, along with the results of new clinical trials, suggest that it might be time to reconsider our notions about neural plasticity in amblyopia.

scholarly journals The time-course of rapid stimulus-specific perceptual learning

2013 ◽  
Vol 13 (9) ◽  
pp. 1090-1090
Author(s):  
A. Hashemi ◽  
J. W. Lass ◽  
D. Truong ◽  
A. B. Sekuler ◽  
P. J. Bennett
Keyword(s):  
Perceptual Learning ◽  
Time Course

Time course of conscious and unconscious semantic brain activation

Neuroreport ◽  
2000 ◽  
Vol 11 (11) ◽  
pp. 2401-2407 ◽  
Author(s):  
Markus Kiefer ◽  
Manfred Spitzer
Keyword(s):  
Time Course ◽  
Brain Activation

scholarly journals The Common Time Course of Memory Processes Revealed

2018 ◽  
Vol 29 (9) ◽  
pp. 1463-1474 ◽  
Author(s):  
John R. Anderson ◽  
Jelmer P. Borst ◽  
Jon M. Fincham ◽  
Avniel Singh Ghuman ◽  
Caitlin Tenison ◽  
...  
Keyword(s):  
Cognitive Processing ◽  
Time Course ◽  
Markov Models ◽  
Brain Activation ◽  
Relevant Information ◽  
Sensor Data ◽  
Activation Patterns ◽  
Memory Processes ◽  
Common Time ◽  
Multivariate Pattern

Magnetoencephalography (MEG) was used to compare memory processes in two experiments, one involving recognition of word pairs and the other involving recall of newly learned arithmetic facts. A combination of hidden semi-Markov models and multivariate pattern analysis was used to locate brief “bumps” in the sensor data that marked the onset of different stages of cognitive processing. These bumps identified a separation between a retrieval stage that identified relevant information in memory and a decision stage that determined what response was implied by that information. The encoding, retrieval, decision, and response stages displayed striking similarities across the two experiments in their duration and brain activation patterns. Retrieval and decision processes involve distinct brain activation patterns. We conclude that memory processes for two different tasks, associative recognition versus arithmetic retrieval, follow a common spatiotemporal neural pattern and that both tasks have distinct retrieval and decision stages.

Learning to trust a face: The time course of brain activation during a money game

2019 ◽  
Vol 712 ◽  
pp. 134501
Author(s):  
Alan J. Pegna ◽  
David Framorando ◽  
Eric Menetre ◽  
Zhou Yu
Keyword(s):  
Time Course ◽  
Brain Activation
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