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Indexing sensory plasticity: Evidence for distinct Predictive Coding and Hebbian learning mechanisms in the cerebral
M J Spriggs1, R L Sumner2, R L McMillan3
1School of Psychology, The University of Auckland, New Zealand; Brain Research New Zealand, New Zealand.
Neuroimage
|May 2, 2018
Summary
This study compared two plasticity measures, finding that the brain uses both predictive coding and Hebbian mechanisms depending on task demands. This offers unique insights into sensory plasticity and clinical populations.
Area of Science:
- Neuroscience
- Cognitive Science
- Perceptual Learning
Background:
- The Roving Mismatch Negativity (MMN) and Visual Long-Term Potentiation (LTP) are key measures of sensory plasticity.
- These paradigms are based on contrasting models: Predictive Coding for MMN and Hebbian plasticity for LTP.
Purpose of the Study:
- To compare the generative mechanisms of MMN and visual LTP.
- To determine if Predictive Coding and Hebbian mechanisms coexist in the brain.
Main Methods:
- Forty participants underwent EEG recording while performing both MMN and visual LTP paradigms.
- Dynamic Causal Modelling (DCM) was employed to analyze the neural network dynamics.
Main Results:
- DCM revealed that MMN generation modulates both forward and backward connections.
- Visual LTP generation primarily modulated forward connections.
Conclusions:
- The brain utilizes both Predictive Coding and Hebbian mechanisms, adapting to different task requirements.
- These findings highlight the distinct insights each paradigm offers into neural plasticity, crucial for studying clinical populations.
Keywords:
Dynamic Causal ModellingLong Term PotentiationMismatch negativityNeuroplasticityPerceptual learningMore Related Videos
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