Perceptual Learning: Neural Mechanisms☆

Author(s):  
Wu Li ◽  
Charles D. Gilbert
2020 ◽  
Vol 9 (12) ◽  
pp. 3985
Author(s):  
Carlos J. Hernández-Rodríguez ◽  
David P. Piñero ◽  
Ainhoa Molina-Martín ◽  
León Morales-Quezada ◽  
Dolores de Fez ◽  
...  

Active vision therapy using perceptual learning and/or dichoptic or binocular environments has shown its potential effectiveness in amblyopia, but some doubts remain about the type of stimuli and the mode and sequence of presentation that should be used. A search was performed in PubMed, obtaining 143 articles with information related to the stimuli used in amblyopia rehabilitation, as well as to the neural mechanisms implied in such therapeutic process. Visual deficits in amblyopia and their neural mechanisms associated are revised, including visual acuity loss, contrast sensitivity reduction and stereopsis impairment. Likewise, the most appropriate stimuli according to the literature that should be used for an efficient rehabilitation of the amblyopic eye are described in detail, including optotypes, Gabor’s patches, random-dot stimuli and Vernier’s stimuli. Finally, the properties of these stimuli that can be modified during the visual training are discussed, as well as the psychophysical method of their presentation and the type of environment used (perceptual learning, dichoptic stimulation or virtual reality). Vision therapy using all these revised concepts can be an effective option for treating amblyopia or accelerating the treatment period when combining with patching. It is essential to adapt the stimuli to the patient’s individual features in both monocular and binocular training.


PLoS ONE ◽  
2011 ◽  
Vol 6 (4) ◽  
pp. e19221 ◽  
Author(s):  
Carlos M. Hamamé ◽  
Diego Cosmelli ◽  
Rodrigo Henriquez ◽  
Francisco Aboitiz

2012 ◽  
Vol 12 (9) ◽  
pp. 1126-1126 ◽  
Author(s):  
N. Chen ◽  
T. Bi ◽  
Z. Liu ◽  
F. Fang

2020 ◽  
Vol 31 (1) ◽  
pp. 138-146
Author(s):  
Dean Shmuel ◽  
Sebastian M Frank ◽  
Haggai Sharon ◽  
Yuka Sasaki ◽  
Takeo Watanabe ◽  
...  

Abstract Perception thresholds can improve through repeated practice with visual tasks. Can an already acquired and well-consolidated perceptual skill be noninvasively neuromodulated, unfolding the neural mechanisms involved? Here, leveraging the susceptibility of reactivated memories ranging from synaptic to systems levels across learning and memory domains and animal models, we used noninvasive brain stimulation to neuromodulate well-consolidated reactivated visual perceptual learning and reveal the underlying neural mechanisms. Subjects first encoded and consolidated the visual skill memory by performing daily practice sessions with the task. On a separate day, the consolidated visual memory was briefly reactivated, followed by low-frequency, inhibitory 1 Hz repetitive transcranial magnetic stimulation over early visual cortex, which was individually localized using functional magnetic resonance imaging. Poststimulation perceptual thresholds were measured on the final session. The results show modulation of perceptual thresholds following early visual cortex stimulation, relative to control stimulation. Consistently, resting state functional connectivity between trained and untrained parts of early visual cortex prior to training predicted the magnitude of perceptual threshold modulation. Together, these results indicate that even previously consolidated human perceptual memories are susceptible to neuromodulation, involving early visual cortical processing. Moreover, the opportunity to noninvasively neuromodulate reactivated perceptual learning may have important clinical implications.


2010 ◽  
Vol 8 (6) ◽  
pp. 976-976 ◽  
Author(s):  
R. Kim ◽  
A. Seitz ◽  
L. Shams

2010 ◽  
Vol 10 (7) ◽  
pp. 1116-1116
Author(s):  
M. Wenger ◽  
R. Von Der Heide ◽  
J. Bittner ◽  
D. Fitousi

2017 ◽  
Vol 38 (12) ◽  
pp. 6029-6042 ◽  
Author(s):  
Nihong Chen ◽  
Junshi Lu ◽  
Hanyu Shao ◽  
Xuchu Weng ◽  
Fang Fang

2021 ◽  
Vol 29 (1) ◽  
pp. 56
Author(s):  
Getong WANG ◽  
Jie XI ◽  
Nihong CHEN ◽  
Changbing HUANG

2014 ◽  
Vol 2 (3) ◽  
pp. 261-289 ◽  
Author(s):  
Domenica Bueti ◽  
Dean V. Buonomano

Our interaction with the environment and each other is inherently time-varying in nature. It is thus not surprising that the nervous systems of animals have evolved sophisticated mechanisms to not only tell time, but to learn to discriminate and produce temporal patterns. Indeed some of the most sophisticated human behaviors, such as speech and music, would not exist if the human brain was unable to learn to discriminate and produce temporal patterns. Compared to the study of other forms of learning, such as visual perceptual learning, the study of the learning of interval and temporal pattern discrimination in the subsecond range is relatively recent. A growing number of studies over the past 15 years, however, have established that perceptual and motor timing undergo robust learning. One of the principles to have emerged from these studies is that temporal learning is generally specific to the trained interval, an observation that has important implications to the neural mechanisms underlying our ability to tell time.


Sign in / Sign up

Export Citation Format

Share Document