This is a webinar on the memory-prediction model of brain function and why it may guide some of our reasoning and techniques when it comes to assessment, treatment or training.
It is designed to be simple and easy to listen to rather then heavy on the neuroscience.
Below we have a rundown of the contents.
- Memory - Prediction model. Is it important?
- Bayesian Inference
- The brain is not a computer. Its slow & predicts
- Patterns, perception & prediction.
- Auto association and recall of stored neural patterns.
- Catching the ball
- Hebb - "neurons that fire together. wire together"
- Allport & inhibition
- Neurotags, Moseley & Disinhibition.
- Neurosignature, neuromatrix & Melzack
- Processing of sensory information. Perception.
- Importance of context
- Visual, vestibular & proprioceptive.
- Perception of threat & protective response.
- Perception top down and bottom up
- Top down altered perception of injured or painful area.
- Processing of bottom up encoded signals.
- Bayesien Inference - Prior knowledge & data = Beliefs
- Forward model of motor control - D. Walpert
- Predicting the feedback
- Betting shop - Baysian process!
- Stiffness/flexibility is often a prediction - Stepping off the curb.
- Cortical hierarchy - Stored patterns.
- How does this affect model influence our assessment & treatment or training?
- Authenticity of movement or position to assess prediction output.
- Pain as a prediction. Learned experience of pain.
- Creating new memories & predictions. Hopefully positive!