Long Time No See: Enduring Behavioral and Neuronal Changes in Perceptual Learning of Motion Trajectories 3 Years After Training

@article{Frank2018LongTN,
  title={Long Time No See: Enduring Behavioral and Neuronal Changes in Perceptual Learning of Motion Trajectories 3 Years After Training},
  author={Sebastian M. Frank and Mark W. Greenlee and Peter U. Tse},
  journal={Cerebral Cortex},
  year={2018},
  volume={28},
  pages={1260–1271}
}
Here, we report on the long-term stability of changes in behavior and brain activity following perceptual learning of conjunctions of simple motion features. Participants were trained for 3 weeks on a visual search task involving the detection of a dot moving in a "v"-shaped target trajectory among inverted "v"-shaped distractor trajectories. The first and last training sessions were carried out during functional magnetic resonance imaging (fMRI). Learning stability was again examined… 

Figures from this paper

Training-Induced Changes in Radial–Tangential Anisotropy of Visual Crowding
TLDR
It is demonstrated that training-induced changes in the anisotropic shape of the crowding zone are reflected in the BOLD signal in the early visual cortex.
Learning efficient visual search for stimuli containing diagnostic spatial configurations and color-shape conjunctions
TLDR
It is shown that both targets and distractors are learned, and that reversing learned target and distractor identities impairs performance, which suggests conjunction learning involving such stimuli might be an emergent phenomenon that reflects multiple different learning processes.
Stability of Perceptual Learning and Excitatory-inhibitory Ratio in the Brain
知覚学習研究の科学的意義は多岐にわたる.知覚学 習研究が活発になる以前は,脳視覚システムは臨界期 以降さほど変化しないと考えられていた.この伝統 的な見方に反し,知覚学習研究によって,幼児から 老人 まで,脳視覚システムにおける複数の段階で経 験に応じた可塑的な変化が起こりえることが明らかに なった.大人を対象に,心理物理的手法や脳活動測定 手法を用いた厳密な実験が可能という点で,知覚学習

References

SHOWING 1-10 OF 41 REFERENCES
Neural mechanisms of feature conjunction learning: Enduring changes in occipital cortex after a week of training
TLDR
When participants were retested on the original task after nine months without further training, the acquired changes in behavior and brain activity were still present, showing that this can be an enduring form of learning and neural reorganization.
Pretraining Cortical Thickness Predicts Subsequent Perceptual Learning Rate in a Visual Search Task.
We report that preexisting individual differences in the cortical thickness of brain areas involved in a perceptual learning task predict the subsequent perceptual learning rate. Participants trained
Decoding Reveals Plasticity in V3A as a Result of Motion Perceptual Learning
TLDR
It is concluded that VPL of a global motion detection task involves plasticity in a specific visual cortical area using pattern classification analysis on functional magnetic resonance imaging signals.
Neural correlates of perceptual learning in a sensory-motor, but not a sensory, cortical area
TLDR
Perceptual learning does not appear to involve improvements in how sensory information is represented in the brain, but rather how the sensory representation is interpreted to form the decision that guides behavior.
The time course of learning a visual skill
TLDR
Here it is conjecture that some types of perceptual experience trigger permanent neural changes in early processing stages of the adult visual system, which may take many hours to become functional.
Learning Strengthens the Response of Primary Visual Cortex to Simple Patterns
...
...