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Long-term Potentiation01:35

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Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
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Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
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Study Motor Skill Learning by Single-pellet Reaching Tasks in Mice
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Learning-dependent plasticity with and without training in the human brain.

Jiaxiang Zhang1, Zoe Kourtzi

  • 1School of Psychology, University of Birmingham, Edgbaston, Birmingham B15 2TT, United Kingdom.

Proceedings of the National Academy of Sciences of the United States of America
|July 15, 2010
PubMed
Summary
This summary is machine-generated.

Visual learning in clutter involves two distinct brain plasticity pathways: opportunistic learning for natural contours via exposure, and task-specific training for discontinuities. Both optimize visual recognition by shaping brain processing.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Visual Perception

Background:

  • Visual functions optimize through long-term experience and short-term training, aiding complex scene interpretation.
  • Brain plasticity mechanisms for detecting objects in cluttered scenes are not fully understood.

Purpose of the Study:

  • Investigate human brain mechanisms for learning statistical regularities and target detection in clutter.
  • Identify distinct brain plasticity signatures associated with different visual learning routes.

Main Methods:

  • Combined behavioral measurements and functional magnetic resonance imaging (fMRI).
  • Examined learning of natural contour regularities (collinearity) and integration of discontinuities.
  • Assessed generalization across stimuli and task-specific training effects.

Main Results:

  • Two distinct visual learning routes identified: opportunistic learning and bootstrap-based learning.
  • Opportunistic learning (collinearity) relies on exposure, generalizes, and involves occipitotemporal regions.
  • Bootstrap learning (discontinuities) is task-specific, stimulus-dependent, and involves intraparietal regions.

Conclusions:

  • Long-term experience may support opportunistic learning of collinear contours.
  • Bootstrap training is necessary for learning to integrate discontinuities in clutter.
  • Findings illuminate the interaction between long-term experience and short-term training in visual recognition optimization.